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Another year passed, and as usual, I took the time to look back. I always feel that things are going so much slower than expected. But that’s reality – there is always friction, and in particular, in the PLM domain, there is so much legacy we cannot leave behind.

It is better to plan what we can do in 2024 to be prepared for the next steps or, if lucky, even implement the next steps in progress.

In this post, I will discuss four significant areas of attention (AI – DATA – PEOPLE – SUSTAINABILITY) in an alphabetic order, not prioritized.

Here are some initial thoughts. In the upcoming weeks I will elaborate further on them and look forward to your input.

 

AI (Artificial Intelligence)

Where would I be without talking about AI?

When you look at the image below, the Gartner Hype Cycle for AI in 2023, you see the potential coming on the left, with Generative AI at the peak.

Part of the hype comes from the availability of generative AI tools in the public domain, allowing everyone to play with them or use them. Some barriers are gone, but what does it mean? Many AI tools can make our lives easier, and there is for sure no threat if our job does not depend on standard practices.

 

AI and People

When I was teaching physics in high school, it was during the introduction of the pocket calculator, which replaced the slide rule.You need to be skilled to uyse the slide rule, now there was a device that gave immediate answers. Was this bad for the pupils?

If you do not know a slide rule, it was en example of new technology replacing old tools, providing more time for other details.  Click on the image or read more about the slide rule here on Wiki.

Or today you would ask the question about the slide rule to ChatGPT? Does generative AI mean the end of Wikipedia? Or does generative AI need the common knowledge of sites like Wikipedia?

AI can empower people in legacy environments, when working with disconnected systems. AI will be a threat for to people and companies that rely on people and processes to bring information together without adding value. These activities will disappear soon and you must consider using this innovative approach.

During the recent holiday period, there was an interesting discussion about why companies are reluctant to change and implement better solution concepts. Initially launched by Alex Bruskin here on LinkedIn , the debate spilled over into the topic of TECHNICAL DEBT , well addressed here by Lionel Grealou.

Both articles and the related discussion in the comments are recommended to follow and learn.

 

AI and Sustainability

Similar to the introduction of Bitcoin using blockchain technology, some people are warning about the vast energy consumption required for training and interaction with Large Language Models (LLM), as Sasha Luccioni explains in her interesting TED talk when addressing sustainability.

She proposes that tech companies should be more transparent on this topic, the size and the type of the LLM matters, as the indicative picture below illustrates.

Carbon Emissions of LLMs compared

In addition, I found an interesting article discussing the pros and cons of AI related to Sustainability. The image below from the article Risks and Benefits of Large Language Models for the Environment illustrates nicely that we must start discussing and balancing these topics.

To conclude, in discussing AI related to sustainability, I see the significant advantage of using generative AI for ESG reporting.

ESG reporting is currently a very fragmented activity for organizations, based on (marketing) people’s goodwill and currently these reports are not always be evidence-based.

 

Data

The transformation from a coordinated, document-driven enterprise towards a hybrid coordinated/connected enterprise using a data-driven approach became increasingly visible in 2023. I expect this transformation to grow faster in 2024 – the momentum is here.

We saw last year that the discussions related to Federated PLM nicely converged at the PLM Roadmap / PDT Europe conference in Paris. I shared most of the topics in this post: The week after PLM Roadmap / PDT Europe 2023. In addition, there is now the Heliple Federated PLM LinkedIn group with regular discussions planned.

In addition, if you read here Jan Bosch’s reflection on 2023, he mentions (quote):

… 2023 was the year where many of the companies in the center became serious about the use of data. Whether it is historical analysis, high-frequency data collection during R&D, A/B testing or data pipelines, I notice a remarkable shift from a focus on software to a focus on data. The notion of data as a product, for now predominantly for internal use, is increasingly strong in the companies we work with

I am a big fan of Jan’s posting; coming from the software world, he describes the same issues that we have in the PLM world, except he does not carry the hardware legacy that much and, therefore, acts faster than us in the PLM world.

An interesting illustration of the slow pace to a data-driven environment is the revival of the PLM and ERP integration discussion. Prof. Jörg Fischer and Martin Eigner contributed to the broader debate of a modern enterprise infrastructure, not based on systems (PLM, ERP, MES, ….) but more on the flow of data through the lifecycle and an organization.

It is a great restart of the debate, showing we should care more about data semantics and the flow of information.

The articles: The Future of PLM & ERP: Bridging the Gap. An Epic Battle of Opinions!  and Is part master in PLM and ERP equal or not) combined with the comments to these posts, are a must read to follow this change towards a more connected flow of information.

While writing this post, Andreas Lindenthal expanded the discussion with his post: PLM and Configuration Management Best Practices: Part Traceability and Revisions. Again thanks to data-driven approaches, there is an extending support for the entire product lifecycle. Product Lifecycle Management,  Configuration Management and AIM (Asset Information Management) have come together.

PLM and CM are more and more overlapping as I discussed some time ago with Martijn Dullaart, Maxime Gravel and Lisa Fenwick in the The future of Configuration Management. This topic will be “hot”in 2024.

 

People

From the people’s perspective towards AI, DATA and SUSTAINABILITY, there is a noticeable divide between generations.  Of course, for the sake of the article, I am generalizing, assuming most people do not like to change their habits or want to reprogram themselves.

Unfortunate, we have to adapt our skills as our environment is changing. Most of my generation was brought up with the single source of truth idea, documented and supported by science papers.

In my terminology, information processing takes place in our head by combining all the information we learned or collected through documents/books/newspapers – the coordinated approach.

For people living in this mindset, AI can become a significant threat, as their brain is no longer needed to make a judgment, and they are not used to differentiate between facts and fake news as they were never trained to do so

The same is valid for practices like the model-based approach, working data-centric, or considering sustainability. It is not in the DNA of the older generations and, therefore, hard to change.

The older generation is mostly part of an organization’s higher management, so we are returning to the technical debt discussion.

Later generations that grew up as digital natives are used to almost real-time interaction, and when applied consistently in a digital enterprise, people will benefit from the information available to them in a rich context – in my terminology – the connected approach.

AI is a blessing for people living in this mindset as they do not need to use old-fashioned methods to acquire information.

“Let ChatGPT write my essay.”

However, their challenge could be what I would call “processing time”. Because data is available, it does not necessarily mean it is the correct information. For that reason it remains important to spend time digesting the impact of information you are reading – don’t click “Like”based on the tittle, read the full article and then decide.

Experience is what you get, when you don’t get what you expect.

meaning you only become experienced if you learn from failures.

 

Sustainability

Unfortunately, sustainability is not only the last topic in alphabetic order, as when you look at the image below, you see that discussions related to sustainability are in a slight decline at C-level at the moment.

I share this observation in my engagements when discussing sustainability with the companies I interact with.

The PLM software and services providers are all on a trajectory of providing tools and an infrastructure to support a transition to a more circular economy and better traceability of materials and carbon emissions.

In the PLM Global Green Alliance, we talked with Aras, Autodesk, Dassault Systems, PTC, SAP, Sustaira, TTPSC(Green PLM) and more to come in 2024. The solution offerings in the PLM domain are available to start, now the people and processes.

For sure, AI tools will help companies to get a better understanding of their sustainability efforts. As mentioned before AI could help companies in understanding their environmental impact and build more accurate ESG reports.

Next, being DATA-driven will be crucial.  As discussed during the latest PLM Roadmap/PDT Europe conference: The Need for a Governance Digital Thread.

And regarding PEOPLE, the good news is that younger generations want to take care of their future. They are in a position to choose the company to work for or influence companies by their consumer behavior. Unfortunately, climate disasters will remind us continuously in the upcoming decades that we are in a critical phase.

With the PLM Global Green Alliance, we strive to bring people together with a PLM mindset, sharing news and information on how to move forward to a sustainable future.

Mark Reisig (CIMdata – moderator for Sustainability & Energy) and Patrice Quencez (CIMPA – moderator for the Circular Economy) joined the PGGA last year and you will experience their inputs this year.

 

Conclusion

As you can see from this long post, there is so much to learn. The topics described are all actual, and each topic requires education, experience (success & failures) combined with understanding  of the technology concepts. Make sure you consider all of them, as focusing on a single topic will not make move faster forward – they are all related. Please share your experiences this year—Happy New Year of Learning.

 

In the past two weeks, I had several discussions with peers in the PLM domain about their experiences.

Some of them I met after a long time again face-to-face at the LiveWorx 2023 event. See my review of the event here: The Weekend after LiveWorx 2023.

And there were several interactions on LinkedIn, leading to a more extended discussion thread (an example of a digital thread ?) or a Zoom discussion (a so-called 2D conversation).

To complete the story, I also participated in two PLM podcasts from Share PLM, where we interviewed Johan Mikkelä  (currently working at FLSmidth)  and, in the second episode Issam Darraj (presently working at ABB) about their PLM experiences. Less a discussion, more a dialogue, trying to grasp the non-documented aspects of PLM. We are looking for your feedback on these podcasts too.

All these discussions led to a reconfirmation that if you are a PLM practitioner, you need a broad skillset to address the business needs, translate them into people and process activities relevant to the industry and ultimately implement the proper collection of tools.

As a sneaky preview for the podcast sessions, we asked both Johan and Issam about the importance of the tools. I will not disclose their answers here; you have to listen.

Let’s look at some of the discussions.

NOTE: Just before pushing the Publish button, Oleg Shilovitsky published this blog article PLM Project Failures and Unstoppable PLM Playbook. I will comment on his points at the end of this post. It is all part of the extensive discussion.

 

PLM, LinkedIn and complexity

The most popular discussions on LinkedIn are often related to the various types of Bills of Materials (eBOM, mBOM, sBOM), Part numbering schemes (intelligent or not), version and revision management and the famous FFF discussions.

This post: PLM and Configuration Management Best Practices: Working with Revisions, from Andreas Lindenthal, was a recent example that triggered others to react.

I had some offline discussions on this topic last week, and I noticed Frédéric Zeller wrote his post with the title PLM, LinkedIn and complexity, starting his post with (quote):

I am stunned by the average level of posts on the PLM on LinkedIn.

I’m sorry, but in 2023 :

  • Part Number management (significant, non-significant) should no longer be a problem.
  • Revision management should no longer be a question.
  • Configuration management theory should no longer be a question.
  • Notions of EBOMs, MBOMs … should no longer be a question.

So why are there still problems on these topics?

You can see from the at least 40+ comments that this statement created a lot of reactions, including mine. Apparently, these topics are touching many people worldwide, and there is no simple, single answer to each of these topics. And there are so many other topics relevant to PLM.

Talking later with Frederic for one hour in a Zoom session, we discussed the importance of the right PLM data model.

I also wrote a series about the (traditional) PLM data model: The importance of a (PLM) data model.

Frederic is more of a PLM architect; we even discussed the wording related to the EBOM and the MBOM. A topic that I feel comfortable discussing after many years of experience seeing the attempts that failed and the dreams people had. And this was only one aspect of PLM.

You also find the discussion related to a PLM certification in the same thread. How would you certify a person as a PLM expert?

There are so many dimensions to PLM. Even more important, the PLM from 10-15 years ago (more of a system discussion) is no longer the PLM nowadays (a strategy and an infrastructure) –

This is a crucial difference. Learning to use a PLM tool and implement it is not the same as building a PLM strategy for your company. It is Tools, Process, People versus Process, People, Tools and Data.

 

Time for Methodology workshops?

I recently discussed with several peers what we could do to assist people looking for best practices discussion and lessons learned. There is a need, but how to organize them as we cannot expect this to be voluntary work.

In the past, I suggested MarketKey, the organizer of the PI DX events,  extend its theme workshops. For example, instead of a 45-min Focus group with a short introduction to a theme (e.g., eBOM-mBOM, PLM-ERP interfaces), make these sessions last at least half a day and be independent of the PLM vendors.

Apparently, it did not fit in the PI DX programming; half a day would potentially stretch the duration of the conference and more and more, we see two days of meetings as the maximum. Longer becomes difficult to justify even if the content might have high value for the participants.

I observed a similar situation last year in combination with the PLM roadmap/PDT Europe conference in Gothenburg. Here we had a half-day workshop before the conference led by Erik Herzog(SAAB Aeronautics)/ Judith Crockford (Europstep) to discuss concepts related to federated PLM – read more in this post: The week after PLM Roadmap/PDT Europe 2022.

It reminded me of an MDM workshop before the 2015 Event, led by Marc Halpern from Gartner. Unfortunately, the federated PLM discussion remained a pretty Swedish initiative, and the follow-up did not reach a wider audience.

And then there are the Aerospace and Defense PLM action groups that discuss moderated by CIMdata. It is great that they published their findings (look here), although the best lessons learned are during the workshops.

However, I also believe the A&D industry cannot be compared to a mid-market machinery manufacturing company. Therefore, it is helpful for a smaller audience only.

And here, I inserted a paragraph dedicated to Oleg’s recent post, PLM Project Failures and Unstoppable PLM Playbook – starting with a quote:

How to learn to implement PLM? I wrote about it in my earlier article – PLM playbook: how to learn about PLM? While I’m still happy to share my knowledge and experience, I think there is a bigger need in helping manufacturing companies and, especially PLM professionals, with the methodology of how to achieve the right goal when implementing PLM. Which made me think about the Unstoppable PLM playbook ©.

I found a similar passion for helping companies to adopt PLM while talking to Helena Gutierrez. Over many conversations during the last few months, we talked about how to help manufacturing companies with PLM adoption. The unstoppable PLM playbook is still a work in progress, but we want to start talking about it to get your feedback and start the conversation. 

It is an excellent confirmation of the fact that there is a need for education and that the education related to PLM on the Internet is not good enough.

As a former teacher in Physics, I do not believe in the Unstoppable PLM Playbook, even if it is a branded name. Many books are written by specific authors, giving their perspectives based on their (academic) knowledge.

Are they useful? I believe only in the context of a classroom discussion where the applicability can be discussed,

Therefore my questions to vendor-neutral global players, like CIMdata, Eurostep, Prostep, SharePLM, TCS and others, are you willing to pick up this request? Or are there other entities that I missed? Please leave your thoughts in the comments. I will be happy to assist in organizing them.

There are many more future topics to discuss and document too.

  • What about the potential split of a PLM infrastructure between Systems of Record & Systems of Engagement?
  • What about the Digital Thread, a more and more accepted theme in discussions, but what is the standard definition?
  • Is it traceability as some vendors promote it, or is it the continuity of data, direct usable in various contexts – the DevOps approach?

 

Who likes to discuss methodology?

When asking myself this question, I see the analogy with standards. So let’s look at the various players in the PLM domain – sorry for the immense generalization.

Strategic consultants: standards are essential, but spare me the details.

Vendors: standards are limiting the unique capabilities of my products

Implementers: two types – Those who understand and use standards as they see the long-term benefits. Those who avoid standards as it introduces complexity.

Companies: they love standards if they can be implemented seamlessly.

Universities: they love to explore standards and help to set the standards even if they are not scalable

Just replace standards with methodology, and you see the analogy.

 

We like to discuss the methodology.

As I mentioned in the introduction, I started to work with Share PLM on a series of podcasts where we interview PLM experts in the field that have experience with the people, the process, the tools and the data side. Through these interviews, you will realize PLM is complex and has become even more complicated when you consider PLM a strategy instead of a tool.

We hope these podcasts might be a starting point for further discussion – either through direct interactions or through contributions to the podcast. If you have PLM experts in your network that can explain the complexity of PLM from various angles and have the experience. Please let us know – it is time to share.

 

Conclusion

By switching gears, I noticed that PLM has become complex. Too complex for a single person to master. With an aging traditional PLM workforce (like me), it is time to consolidate the best practices of the past and discuss the best practices for the future. There are no simple answers, as every industry is different. Help us to energize the PLM community – your thoughts/contributions?

Announcing PLM Road Map & PDT EMEA 2023

 

Happy New Year to all of you, and may this year be a year of progress in understanding and addressing the challenges ahead of us.

To help us focus, I selected three major domains I will explore further this year. These domains are connected – of course – as nothing is isolated in a world of System Thinking. Also, I wrote about these domains in the past, as usually, noting happens out of the blue.

Meanwhile, there are a lot of discussions related to Artificial Intelligence (AI), in particular ChatGPT (openAI). But can AI provide the answers? I believe not, as AI is mainly about explicit knowledge, the knowledge you can define by (learning) algorithms.

Expert knowledge, often called Tacit knowledge, is the knowledge of the expert, combining information from different domains into innovative solutions.

I started my company, TacIT, in 1999 because I thought (and still think) that Tacit knowledge is the holy grail for companies.

Let’s see with openAI how far we get ……

 

Digitization of the PLM domain

The PLM domain is suffering from its legacy data (documents), legacy processes (linear – mechanical focus) and legacy people (siloed). The statement is a generalization.

More details can be found in my blog series: The road to model-based and connected PLM.

So why should companies move to a model-based and connected approach for their PLM infrastructure?

There are several reasons why companies may want to move to a model-based and connected approach for their Product Lifecycle Management (PLM) infrastructure:

  • Increased efficiency: A model-based approach allows for creating a digital twin of the product, which can be used to simulate and test various design scenarios, reducing the need for physical prototypes and testing. This can lead to faster and more efficient product development.
  • Improved collaboration: A connected PLM infrastructure allows for better collaboration between different teams and departments, as all product-related information is stored in a central location and can be accessed by authorized personnel. This can improve communication and decision-making within the organization.
  • Enhanced visibility: A model-based PLM system provides a single source of truth for all product-related data, giving management a clear and comprehensive view of the product development process. This can help identify bottlenecks and areas for improvement.
  • Reduced risk: By keeping all product-related information in a centralized location, the risk of data loss or inconsistencies is reduced. This can help ensure that the product is developed in accordance with regulatory requirements and company standards.
  • Increased competitiveness: A model-based and connected PLM infrastructure can help companies bring new products to market faster and with fewer errors, giving them a competitive advantage in their industry.

The text in italics was created by ChatGPT. After three learning cycles, this was the best answer I got. What we are missing in this answer is the innovative and transformative part that modern PLM can bring. Where is the concept of different ways of working, and new business models, both drivers for digitalization in many businesses?

Expert knowledge related to Federated PLM (or Killing the PLM Monolith) are topics you will not find through AI. This is, for me, the most interesting part to explore.

We see the need but lack a common understanding of the HOW.

Algorithms will not innovate; for that, you need Tacit intelligence & Curiosity instead of Artificial Intelligence. More exploration of Federated PLM this year.

 

PLM and Sustainability

Last year as part of the PLM Global Green Alliance, we spoke with six different PLM solution providers to understand their sustainability goals, targets, and planned support for Sustainability. All of them confirmed Sustainability has become an important issue for their customers in 2022. Sustainability is on everyone’s agenda.

Why is PLM important for Sustainability?

PLM is important for Sustainability because a PLM helps organizations manage the entire lifecycle of a product, from its conception and design to its manufacture, distribution, use, and disposal. PLM can be important for Sustainability because it can help organizations make more informed decisions about the environmental impacts of their products and take steps to minimize those impacts throughout the product’s lifecycle.

For example, using PLM, an organization can consider the environmental impacts of the materials that are used in a product, the energy consumption of the manufacturing process, the product’s end-of-life disposal, and other factors that may affect its overall Sustainability. By considering these factors early in the design process, organizations can make more sustainable choices that reduce the environmental impact of their products over their lifecycle.

In addition, PLM can help organizations track and measure the Sustainability of their products over time, allowing them to continuously improve and optimize their products for Sustainability. This can be particularly important for organizations that are looking to meet regulatory requirements or consumer demand for more sustainable products.

Again not a wrong answer, but there is no mention of supporting the concepts of the circular economy, the potential of using digital twins at the various lifecycle stages of the products to perform trade-off studies in the virtual world, or to analyze the product behavior from the physical world in the virtual world for optimization.

This is (again), for me, the most interesting part to explore.

We see the need but lack the sense of urgency on the NOW.

More on Sustainability this year.

 

PLM Education at all levels

Historically PLM was framed as an “engineering thing” or a system needed for R&D/Engineering. Modern PLM is much broader and, unfortunately, more hard to grasp. I support the CIMdata definition:

CIMdata defines PLM as:

  • A strategic business approach that applies a consistent set of business solutions that support the collaborative creation, management, dissemination, and use of product definition information

  • Supporting the extended enterprise (customers, design and supply partners, etc.)

  • Spanning from concept to end of life of a product or plant

  • Integrating people, processes, business systems, and information

And even here, I would say this definition is challenging as the scope is extensive and could touch a lot of activities inside an enterprise. As I wrote last year in my series of posts related to PLM and Education, there is:

Strategy education (what are the trends/potential of digital transformation in the business domain related to the company’s products)

Methodology/ Academic Education (independent from tools, what are the best practices, where they reside, potential lessons learned and pitfalls to avoid)

Organisational Change Management (the Education and support needed to enable a business transformation – modern PLM is a transformation enabler)

By asking ChatGPT for their opinion, we learn the following:

Product Lifecycle Management (PLM) education refers to training and development programs that focus on teaching individuals how to effectively manage the lifecycle of a product within an organization. This can include a wide range of topics, such as product design, development, and engineering; supply chain management; quality control and assurance; and product retirement and disposal.

Some specific types of PLM education that a company may need to provide to its employees include:

  1. Introduction to PLM: This type of training is designed to provide a general overview of PLM concepts and practices and may be suitable for employees who are new to the field or who have limited experience with PLM.
  2. PLM software training: Many companies use specialized PLM software to manage their product lifecycle processes. Employees who will be using this software will need training on how to use it effectively.
  3. Industry-specific PLM training: Depending on the industry in which a company operates, there may be specific PLM practices and regulations that employees need to be familiar with. For example, a company in the aerospace industry may need to provide training on PLM practices that are specific to the aerospace industry.
  4. Leadership and management training: For employees who are responsible for leading and managing PLM projects or teams, additional training in leadership and project management may be necessary.

Overall, the types of PLM education that a company needs will depend on the specific needs and goals of the organization, as well as the roles and responsibilities of its employees.

In general, we see from the answer that strategy and organizational change management beyond the tool are not considered.

This is precisely the area where a PLM Expert can help.

We see the need for Education, but we lack the willingness to invest in it.

 

Conclusion

It was an exciting exercise to combine my blogging thoughts with the answers from OpenAI. I am impressed by the given answers, knowing that the topics discussed about PLM are not obvious. On the other hand, I am not worried that AI will take over the job of the PLM consultant. As I mentioned before, the difference between Explicit Knowledge and Tacit Knowledge is clear, and business transformations will largely depend on the usage of Tacit knowledge.

I am curious about your experiences and will follow the topics mentioned in this post and write about them with great interest.

 

 

 

With great pleasure, I am writing this post, part of a tradition that started for me in 2014. Posts starting with “The weekend after …. “describing what happened during a PDT conference, later the event merged with CIMdata becoming THE PLM event for discussions beyond marketing.

For many of us, this conference was the first time after COVID-19 in 2020. It was a 3D (In person) conference instead of a 2D (digital) conference. With approximately 160 participants, this conference showed that we wanted to meet and network in person and the enthusiasm and interaction were great.

The conference’s theme, Digital Transformation and PLM – a call for PLM Professionals to redefine and re-position the benefits and value of PLM, was quite open.

There are many areas where digitization affects the way to implement a modern PLM Strategy.

Now some of my highlights from day one. I needed to filter to remain around max 1500 words. As all the other sessions, including the sponsor vignettes, were informative, they increased the value of this conference.


Digital Skills Transformation -Often Forgotten Critical Element of Digital Transformation

Day 1 started traditionally with the keynote from Peter Bilello, CIMdata’s president and CEO. In previous conferences, Peter has recently focused on explaining the CIMdata’s critical dozen (image below). If you are unfamiliar with them, there is a webinar on November 10 where you can learn more about them.

All twelve are equally important; it is not a sequence of priorities. This time Peter spent more time on Organisational Change management (OCM), number 12 of the critical dozen – or, as stated, the Digital Transformation’s Achilles heel. Although we always mention people are important, in our implementation projects, they often seem to be the topic that gets the less focus.

We all agree on the statement: People, Process, Tools & Data. Often the reality is that we start with the tools, try to build the processes and push the people in these processes. Is it a coincidence that even CIMdata puts Digital Skills transformation as number 12? An unconscious bias?

This time, the people’s focus got full attention. Peter explained the need for a digital skills transformation framework to educate, guide and support people during a transformation. The concluding slide below says it all.


Transformation Journey and PLM & PDM Modernization to the Digital Future

The second keynote of the day was from Josef Schiöler, Head of Core Platform Area PLM/PDM from the Volvo Group. Josef and his team have a huge challenge as they are working on a foundation for the future of the Volvo Group.

The challenge is that it will provide the foundation for new business processes and the various group members, as the image shows below:


As Josef said, it is really the heart of the heart, crucial for the future. Peter Bilello referred to this project as open-heart surgery while the person is still active, as the current business must go on too.

The picture below gives an impression of the size of the operation.

And like any big transformation project also, the Volvo Group has many questions to explore as there is no existing blueprint to use.

To give you an impression:

  • How to manage complex documentation with existing and new technology and solution co-existing?
    (My take: the hybrid approach)
  • How to realize benefits and user adoption with user experience principles in mind?
    (My take: Understand the difference between a system of engagement and a system of record)
  • How to avoid seeing modernization as pure an IT initiative and secure that end-user value creation is visible while still keeping a focus on finalizing the technology transformation?
    (My take: think hybrid and focus first on the new systems of engagement that can grow)
  • How to efficiently partner with software vendors to ensure vendor solutions fit well in the overall PLM/PDM enterprise landscape without heavy customization?
    (My take: push for standards and collaboration with other similar companies – they can influence a vendor)

Note: My takes are just a starting point of the conversation. There is a discussion in the PLM domain, which I described in my blog post: A new PLM paradigm.

 

The day before the conference, we had a ½ day workshop initiated by SAAB and Eurostep where we discussed the various angles of the so-called Federated PLM.

I will return to that topic soon after some consolidation with the key members of that workshop.


Steering future Engineering Processes with System Lifecycle Management

Patrick Schäfer‘s presentation was different than the title would expect. Patrick is the IT Architect Engineering IT from ThyssenKrupp Presta AG. The company provides steering systems for the automotive industry, which is transforming from mechanical to autonomous driving, e-mobility, car-to-car connectivity, stricter safety, and environmental requirements.

The steering system becomes a system depending on hardware and software. And as current users of Agile PLM, the old Eigner PLM software, you can feel Martin Eigner’s spirit in the project.

I briefly discussed Martin’s latest book on System Lifecycle Management in my blog post, The road to model-based and connected PLM (part 5).

Martin has always been fighting for a new term for modern PLM, and you can see how conservative we are – for sometimes good reasons.

Still, ThyssenKrupp Presta has the vision to implement a new environment to support systems instead of hardware products. And in addition, they had to work fast to upgrade their current almost obsolete PLM environment to a new supported environment.

The wise path they chose was first focusing on a traditional upgrade, meaning making sure their PLM legacy data became part of a modern (Teamcenter) PLM backbone. Meanwhile, they started exploring the connection between requirements management for products and software, as shown below.

From my perspective, I would characterize this implementation as the coordinated approach creating a future option for the connected approach when the organization and future processes are more mature and known.

A good example of a pragmatic approach.


Digital Transformation in the Domain of Products and Plants at Siemens Energy

Per Soderberg, Head of Digital PLM at Siemens Energy, talked about their digital transformation project that started 6 – 7 years ago. Knowing the world of gas- and steam turbines, it is a domain where a lot of design and manufacturing information is managed in drawings.

The ultimate vision from Siemens Energy is to create an Industrial Metaverse for its solutions as the benefits are significant.

Is this target too ambitious, like GE’s 2014 Industrial Transformation with Predix? Time will tell. And I am sure you will soon hear more from Siemens Energy; therefore, I will keep it short. An interesting and ambitious program to follow. Sure you will read about them in the near future. 


Accelerating Digitalization at Stora Enso

Stora Enso is a Finish company, a leading global provider of renewable solutions in packaging, biomaterials, wooden construction and paper. Their director of Innovation Services, Kaisa Suutari, shared Stora Enso’s digital transformation program that started six years ago with a 10 million/year budget (some people started dreaming too). Great to have a budget but then where to start?

In a very systematic manner using an ideas funnel and always starting from the business need, they spend the budget in two paths, shown in the image below.

Their interesting approach was in the upper path, which Kaisa focused on. Instead of starting with an analysis of how the problem could be addressed, they start by doing and then analyze the outcome and improve.

I am a great fan of this approach as it will significantly reduce the time to maturity. However, how much time is often wasted in conducting the perfect analysis?

Their Digi Fund process is a fast process to quickly go from idea to concept, to POC and to pilot, the left side of the funnel. After a successful pilot, an implementation process starts small and scales up.

There were so many positive takeaways from this session. Start with an MVP (Minimal Viable Product) to create value from the start. Next, celebrate failure when it happens, as this is the moment you learn. Finally, continue to create measurable value created by people – the picture below says it all.

It was the second time I was impressed by Stora Enso’s innovative approach. During the PI PLMX 2020 London, Samuli Savo, Chief Digital Officer at Stora Enso, gave us insights into their innovation process. At that time, the focus was a little bit more on open innovation with startups. See my post:  The weekend after PI PLMx London 2020. An interesting approach for other businesses to make their digital transformation business-driven and fun for the people


 A day-one summary

There was Kyle Hall, who talked about MoSSEC and the importance of this standard in a connected enterprise. MoSSEC (Modelling and Simulation information in a collaborative Systems Engineering Context) is the published ISO standard (ISO 10303-243) for improving the decision-making process for complex products. Standards are a regular topic for this conference, more about MoSSEC here.

There was Robert Rencher, Sr. Systems Engineer, Associate Technical Fellow at Boeing, talking about the progress that the A&D action group is making related to Digital Thread, Digital Twins. Sometimes asking more questions than answers as they try to make sense of the marketing definition and what it means for their businesses. You can find their latest report here.

There was Samrat Chatterjee, Business Process Manager PLM at the ABB Process Automation division. Their businesses are already quite data-driven; however, by embedding PLM into the organization’s fabric, they aim to improve effectiveness, manage a broad portfolio, and be more modular and efficient.

The day was closed with a CEO Spotlight, Peter Bilello. This time the CEOs were not coming from the big PLM vendors but from complementary companies with their unique value in the PLM domain. Henrik Reif Andersen, co-founder of Configit; Dr. Mattias Johansson, CEO of Eurostep; Helena Gutierrez, co-founder of Share PLM; Javier Garcia, CEO of The Reuse Company and  Karl Wachtel, CEO, XPLM discussed their various perspectives on the PLM domain.

 

Conclusion

Already so much to say; sorry, I reached the 1500 words target; you should have been there. Combined with the networking dinner after day one, it was a great start to the conference. Are you curious about day 2 – stay tuned, and your curiosity will be rewarded.

 

Thanks to Ewa Hutmacher, Sumanth Madala and Ashish Kulkarni, who shared their pictures of the event on LinkedIn. Clicking on their names will lead you to the relevant posts.

 

In the past four weeks, I have been discussing PLM education from different angles through interviews with Peter Bilello (CIMdata), Helena Gutierrez (Share PLM), John Stark (John Stark Associates) and Dave Slawson (Quick Release). Each of these persons brought their specialized focus on PLM.

In this post, I want to conclude and put their expertise in the context of PLM – people, processes and tools.

CIMdata

Originally CIMdata became known for their CAD/CAM market analysis, later expanding into simulation and PLM vendors analysis. And they are still a reference for everyone following the PLM Market. They provide market numbers and projections related to PLM for that part. Together with ARC, they are for me the two sources to understand what is happening business-wise in the PLM market.

Thanks to the contacts with all the vendors, they have a good overview of what is happening. That makes their strategic advice and training useful for companies that want to benchmark where they are and understand the current trends, all vendor-independent.

Their PLM Roadmap conferences have been one of the few consistent vendor-independent conferences that still take place.

If you search for the term “The weekend after PLM Roadmap …..” you will find many of my reviews of these conferences.

Besides these activities, they are also facilitating industry action groups where similar companies in an industry discuss and evaluate various methodologies and how they could be implemented using various PLM systems – the most visible for me is the Aerospace & Defense PLM Action Group

Share PLM

Share PLM is still a young organization focusing on Humanizing PLM. Their focus is on the end-to-end PLM education process. Starting from an education strategy focusing on people, they can organize and help you build attractive and didactical training or elearnings related to your PLM processes and systems in use.

Besides their core offering, they are also justifying their name; they really share PLM information. So have a look at their Our Work tab with samples. In particular, as I mentioned in my interview with them, I like their podcasts.

 

In this post, I try to find similar people or companies to those I interviewed.

When looking at Share PLM, Action Engineering in the US comes to my mind. They are the specialists dedicated to helping organizations large and small achieve their Model-Based Definition (MBD) and Model-Based Enterprise (MBE) goals.

To refresh your memory, read my post with Jennifer Herron, the founder of Action Engineering here: PLM and Model-Based Definition

 

John Stark

Although John might be known as a leading writer of PLM books, he is also active in advising companies in their PLM journeys. Somehow similar to what I do, the big difference is that John takes the time to structure the information and write it down in a book. Just have a look at his list of published PLM books here.

My blog posts are less structured and reflect my observations depending on the companies and people I meet. Writing a foundational book about PLM would be challenging, as concepts are radically changing due to globalization and digitization.

John’s books are an excellent foundation for students who want to learn PLM’s various aspects during their academic years. Students can sit down and take the time to study PLM concepts. Later, suppose you want to acquire PLM knowledge relevant to your company.

In that case, you might focus on specialized training, like the ones CIMdata provides.

There are many books on PLM – have a look at this list. Which book to read depends probably a lot on your country and the university you are associated with. In my network, I have recently seen books from Martin Eigner and  Uthayan Elangovan.   Rosemary Astheimer’s book Model-Based Definition in the Product Lifecycle is still on my to-read list.

And then, there is a lot of research done by universities worldwide. So, if you are lucky, there is good education for PLM-related practices in your country.

Quick Release

My post with Quick Release illustrated the challenges of a PLM consultancy company. It showed their efforts to enable their consultants to be valuable for their customers and create a work environment that inspires them to grow and enjoy their work.

Quick Release aims for a competitive advantage to have their consultants participate in actual work for their customers.

Not only from the conceptual point of view but also to get their hands “dirty”.

There are many other PLM consultancy firms. Having worked with Atos, Accenture, Capgemini, Delloite, PWC, who have their PLM practices, you realize that these companies have their methodologies and preferences. The challenge of their engagements is often the translation of a vision into an affordable roadmap.

Example of Accenture Digital PLM message

Consultancy firms need to be profitable, too, and sometimes they are portrayed as a virus. Once they are in, it is hard to get rid of them.

I do not agree with that statement, as companies often keep relying on consultants because they do not invest in educating their own people. It is a lack of management prioritization or understanding of the importance. Sometimes the argument is: “We are too busy” – remember the famous cartoons.

Consultants cannot change your company; in the end, you have to own the strategy and execution.

And although large consultancy firms might have many trained resources, my experience with these companies is that success often depends on one or two senior consultants. Consultancy is also a human-centric job, being able to connect to the customer in their language and culture.

Good consultants show their value by creating awareness and clarity first. Next, by helping the customer execute their strategy without big risks or hiccups. Finally, a good consultant becomes redundant as the knowledge has been transferred and digested to the customer.

It is like growing up.

System Integrators

It is a small step from consultancy firms to system integrators, as many consultancy firms have specialists in their company that are familiar with certain vendors’ systems. And you might have discovered that the systems that require the most integration or configuration work have the largest practices globally.

So I did a “quick and dirty” search on LinkedIn, looking for people with the xxx PLM consultant role, where xxx is the name of the PLM Vendor.

This to understand how big is the job market for such a specialized PLM consultant.

The image shows the result and I let you draw your own conclusions.

System Integrators are usually the most important partners for a PLM implementation once you choose. Therefore, when I support a PLM selection process, I always look at the potential implementation partner. Their experience, culture and scale are as important as selecting the best tools.

System Integrators can benefit from their past experiences and best practices. It is a myth that every company is so unique and should be treated differently. Instead, companies are different because of historical reasons. And these differences to best practices are sometimes inhibitors instead of advantages.

Related to education, System Integrators are often focused on technical training. Still, they might also have separate experts in training or organizational change management.

 

PLM Vendors

For me, the PLM vendors are the ones that should inspire the customers. Have a look at the “famous” CIMdata slide illustrating the relation between vision, technology and implemented practices – there is a growing gap between the leaders and the followers.

PLM Vendors often use their unique technical capabilities as a differentiator to the competition and inspiration for C-level management. Just think about the terms: Industry 4.0, Digital Twin, Digital Thread, Digital Platform, Model-Based Enterprise and more about sustainability targeted offerings.

The challenge however is to implement these concepts in a consistent manner, allowing people in an organization to understand why and what needs to be done.

The PLM editor’s business model is based on software sales or rental. Therefore, they will focus on their benefits and what competitors fail to do. And as they have the largest marketing budgets, they are the most visible in the PLM-related media.

Of course reality is not that dramatic – education is crucial

You can compare PLM Vendors also with populists. The aim of a populist is to create an audience by claiming they can solve your problems (easily) by using simple framing sentences. However, the reality is that the world and the current digitalization in the PLM domain are not simple.

Therefore we need education, education and education from different sources to build our own knowledge. It is not about the tool first. It is people, process and then tools/technology

 

People, Process, Tools

Education and the right education for each aspect of PLM are crucial to making the right decision. To simplify the education message, I tried to visualize and rate each paragraph along with the People, Process and Tools assessment.

What do you think? Does this make sense related to education?

 

Conclusion

Education is crucial at every level of an organization and at every stage of your career. Take your time to read and digest the information you see and compare and discuss it with others. Be aware of the People, Process and Tools matrix when retrieving information. Where does it apply, and why.

I believe PLM is considered complex because we are dealing with people who all have different educational backgrounds and, therefore, an opinion. Invest in alignment to ensure the processes and tools will be used best.

In my previous posts dedicated to PLM education, I shared my PLM bookshelf, spoke with Peter Bilello from CIMdata about their education program and talked with Helena Gutierrez from SharePLM about their education mission.

In that last post, I promised this post will be dedicated to PLM education before s**t hits the fan. This statement came from my conversation with John Stark when we discussed where proper PLM education starts (before it hits the fan).

John is a well-known author of many books. You might have read my post about his book: Products2019: A project to map and blueprint the flow and management of products across the product lifecycle: Ideation; Definition; Realisation; Support of Use; Retirement and Recycling. A book with a very long title reflecting the complexity of a PLM environment.

John is also a long-time PLM consultant known in the early PLM community for his 2PLM e-zine. The 2PLM e-zine was an information letter he published between 1998 and 2017 before blogging and social interaction, updating everyone in the PLM community with the latest news. You probably were subscribed to this e-zine if you are my age.

So, let’s learn something more from John Stark

John Stark

John, first of all, thanks for this conversation. We have known each other for a long time. First of all, can you briefly introduce yourself and explain where your passion for PLM comes from?

The starting point for my PLM journey was that I was involved in developing a CAD system. But by the 1990s, I had moved on to being a consultant. I worked with companies in different industry sectors, with very different products.

I worked on application and business process issues at different product lifecycle stages – Ideation; Definition; Realization; Support of Use; Retirement and Recycling.

However, there was no name for the field I was working in at that time. So, I decided to call it Product Lifecycle Management and came up with the following definition:
‘PLM is the business activity of managing, in the most effective way, a company’s products all the way across their lifecycles; from the very first idea for a product, all the way through until it is retired and disposed of’.

PLM is the management system for a company’s products. It doesn’t just manage one of its products. It manages all of its parts and products and the product portfolio in an integrated way.’

I put that definition at the beginning of a book, ‘Product Lifecycle Management: Paradigm for 21st Century Product Realization’, published in 2004 and has since become the most cited book about PLM. I included my view of the five phases of the product lifecycle

and created the PLM Grid to show how everything (products, applications, product data, processes, people, etc.) fits together in PLM.

From about 2012, I started giving a blended course, The Basics of PLM, with the PLM Institute in Geneva.

As for the passion, I see PLM as important for Mankind. The planet’s 7 billion inhabitants all rely on products of various types, and the great majority would benefit from faster, easier access to better products. So PLM is a win-win for us all.

That’s interesting. I also had a nice definition picture I used in my early days. x

PI London 2011

and I had my view of the (disconnected) lifecycle.

PI Apparel London 2014

The education journey

John, as you have been active in PLM education for more than twenty years, do you feel that PLM Education and Training has changed.

PLM has only existed for about twenty years. Initially, it was so new that there was just one approach to PLM education and training, but that’s changed a lot.

Now there are specific programs for each of the different types of people interested or involved with PLM. So, for example, now there are specific courses for students, PLM application vendor personnel, PLM Managers, PLM users, PLM system integrators, and so on. Each of these groups has a different need for knowledge and skills, so they need different courses.

Another big change has been in the technologies used to support PLM Education and Training. Twenty years ago, the course was usually a deck of PowerPoint slides and an overhead projector. The students were in the same room as the instructor.

These days, courses are often online and use various educational apps to help course participants learn.

Who should be educated?

Having read several of your books, they are very structured and academic. Therefore, they will never be read by people at the C-level of an organization. Who are you targeting with your books, and why?

Initially, I wasn’t targeting anybody. I was just making my knowledge available. But as time went by, I found that my books were mainly used in further education and ongoing education courses.

So now, I focus on a readership of students in such organizations. For example, I’ve adapted some books to have 15 chapters to fit within a 15-week course.

Students make up a good readership because they want to learn to pass their exams. In addition, and it’s a worldwide market, the books are used in courses in more than twenty countries. Also, these courses are sufficiently long, maybe 150 hours, for the students to learn in-depth about PLM. That’s not possible with the type of very short PLM training courses that many companies provide for their employees.

PLM education

Looking at publicly available PLM education, what do you think we can do better to get PLM out of the framing of an engineering solution and become a point of discussion at the C-level

Even today, PLM is discussed at C-level in some companies. But in general, the answer is to provide more education about PLM. Unfortunately, that will take time, as PLM remains very low profile for most people.

For example, I’m not aware of a university with a Chair of Product Lifecycle Management. But then, PLM is only 20 years old, that’s very young.

It often takes two generations for new approaches and technologies to become widely accepted in the industry.

So another possibility would be for leading vendors of PLM applications to make the courses they offer about PLM available to a wider audience.

A career with PLM?

Educating students is a must, and like you and me, there are a lot of institutions that have specialized PLM courses. However, I also noticed a PLM expert at C-level in an organization is an exception; most of the time, people with a financial background get promoted. So, is PLM bad for your career?

No, people can have a good career in PLM, especially if they keep learning. There are many good master’s courses if they want to learn more outside the PLM area. I’ve seen people with a PLM background become a CIO or a CEO of a company with thousands of employees. And others who start their own companies, for example, PLM consulting or PLM training. And others become PLM Coaches.

PLM and Digital Transformation

A question I ask in every discussion. What is the impact of digital transformation on your area of expertise? In this case, how do you see PLM Education and Training looking in 2042, twenty years in the future?

I don’t see digital transformation really changing the concept of PLM over the next twenty years. In 2042, PLM will still be the business activity of managing a company’s products all the way across their lifecycles.

So, PLM isn’t going to disappear because of digital transformation.

On the other hand, the technologies and techniques of PLM Education and Training are likely to change – just as they have over the last twenty years. And I would expect to see some Chairs of Product Lifecycle Management in universities, with more students learning about PLM. And better PLM training courses available in companies.

I see digital transformation making it possible to have an entire connected lifecycle without a lot of overhead.

Digital Transformation – platforms working together

 Want to learn more?

My default closing question is always about giving the readers pointers to more relevant information. Maybe an overkill looking at your oeuvre as a writer. Still, the question is, where can readers from this blog learn more?

x
Three suggestions:
x

What I learned

By talking with John and learning his opinion, I see the academic approach to define PLM as a more scientific definition,  creating a space for the PLM professional.

We had some Blog /LinkedIn interaction related to PLM:  Should PLM become a Profession? In the past (2017).

When I search on LinkedIn, I find 87.000 persons with the “PLM Consultant” tag. From those, I know in my direct network, I am aware there is a great variety of skills these PLM Consultants have. However, I believe it is too late to establish the PLM Professional role definition.

John’s focus is on providing students and others interested in PLM a broad fundamental knowledge to get into business. In their day-to-day jobs, these people will benefit from knowing the bigger context and understanding the complexity of PLM.

This is also illustrated in Product2019, where the focus is on the experience – company culture and politics.

Due to the diversity of PLM, we will never be able to define the PLM professional job role compared to the Configuration Manager. Two disciplines are crucial and needed for a sustainable, profitable enterprise.

Conclusion

In this post, we explored a third dimension of PLM Education, focusing on a foundational approach, targeting in particular students to get educated on all the aspects of PLM. John is not the only publisher of educational books. I have several others in my network who have described PLM in their wording and often in their language. Unfortunately, there is no central point of reference, and I believe we are too late for that due to the tremendous variety in PLM.

Next week I will talk with a Learning & Development leader from a company providing PLM consultancy – let’s learn how they enable their employees to support their customers. 

In my previous posts dedicated to PLM education, I shared my and spoke with Peter Bilello from CIMdata about their education program. This time I am talking with Helena Gutierrez, one of the founders of Share PLM.

They are a young and energetic company with a mission to make PLM implementations successful, not through technology or customization, but through education and training.

Let’s discover their mission.

Share PLM

Helena, let me start with the brilliant name you have chosen for the company: Share PLM. Sharing (information) is the fundamental concept of PLM; if you don’t aim to share from the start, you won’t be able to fix it later. Can you tell us more about Share PLM’s mission and where you fit in the PLM ecosystem? 

Jos, first of all, thank you for the invitation to your blog! That’s a great question. In my previous job, as a young PLM director at the former Outotec, nowadays Metso Outotec, I realized how much I could learn from sharing experiences with other professionals.

I thought that by bringing people together from different companies with different backgrounds, PLM professionals could learn and get prepared for some of their projects.

In the beginning, I envisioned some kind of a marketplace, where people could also sell their own resources. A resource I often missed was some kind of POC template for a new deployment, these kinds of things.

I still remember my boss’s face at that time when I told him, Sami Grönstrand, that I wanted to sell templates. [laugh]

A lot has happened since then and we have evolved into a small niche where we can offer a lot of value.

Software vendors keep their PLM systems generic. And almost every company needs to adapt their systems to their company reality: their processes, their system architecture, and their people.

The key questions are: How can I map my company’s processes and the way we work to the new system? How can I make sense of the new systems and help people understand the big picture behind the system clicks?

That’s where we come in.

Education or Training

With Peter Bilello, we discussed the difference between education and training. Where would you position Share PLM?

This is an interesting differentiation – I must say I hadn’t heard of it before, but it makes sense.

I think we are in the middle of the two: theory and practice. You see, many consulting companies focus on the “WHY”, the business needs. But they don’t touch the systems. So don’t tell them to go into Teamcenter or OpenBOM because they want to stay at a theoretical level.

Some system integrators get into the system details, but they don’t connect the clicks to the “WHY” to the big picture.

The connection between the “WHY” and the “HOW” is really important to get the context, to understand how things work.

So that’s where we are very strong. We help companies connect the “WHY” and the “HOW”. And that’s powerful.

 

The success of training

We are both promoting the importance of adequate training as part of a PLM implementation. Can you share with us a best-in-class example where training really made a difference? Can we talk about ROI in the context of training?

Jos, I think when I look at our success stories, most good examples share some of the following characteristics:
xxxx

  • All start with “WHY”, and they have a story. 

In today’s world, people want to understand the “WHY”. So in practical terms, we work with customers to prepare a storyline that helps understand the “WHY” in a practical and entertaining manner.

  • All have a clear, top-down visualization of the process and related use cases.

This is simple, but it’s a game-changer. When people see the big picture, something “clicks,” and they feel “safe” at first sight. They know there is a blueprint for how things work and how they connect.

  • All have quick, online answers to their questions. 

A digital knowledge base where people can find quick answers and educate themselves.

This is one example of a knowledge base from one of our customers, OpenBOM. As you can see from the link below, they have documented how the system should be used in their knowledge base. In addition, they have a set of online eLearning courses that users can take to get started.

  • All involve people in the training and build a “movement”.  

People want to be heard and be a part of something. Engaging people in user communities is a great way to both learn from your users, and make them a part of your program. Bringing people together and putting them at the center of your training. I think this is key to success.

 

Training for all types of companies?

Do you see a difference between large enterprises and small and medium enterprises regarding training? Where would your approach fit best?

Yes, absolutely. And I think the most important difference is speed.

A big company can afford to work on all the elements I described before at the same time because they have the “horse-power” to drive different tracks. They can involve different project managers, and they can finance the effort.

Small companies start small and build their training environment slowly. Some might do some parts by themselves and use our services to guide them through the process.

I enjoy both worlds – the big corporations have big budgets, and you can do cool stuff.

But the small startups have big brains, and they often are very passionate about what they are doing. I enjoy working with startups because they dare to try new things and they are very creative.

Where Is Share PLM Training Different?

I see all system integrators selling PLM training. In my SmarTeam days I also built some “Express” training – Where are you different?

When I started Share PLM, we participated in a startup accelerator. When I was explaining our business model, they asked me the question: “Aren’t the software vendors or the system integrators doing exactly what you do?”

And the answer, incredibly, is that system integrators are often not interested in training and documentation, and they just don’t do it well as they have no didactical background.

Sometimes it’s even the same guy configuring the system who gets the task to create the training. Those people produce boring “technical’ manuals, using thousands of PowerPoint slides with no soul – who wants to read that?

No wonder PLM training has a bad reputation!

We are laser-focused on digital training, and our training is very high quality. We are good at connecting pieces of information and making sense of complex stuff. We also are strong at aesthetics, and our training looks good. The content is nicely presented when you open our courses, and people look forward to reading it!

Digital Transformation and PLM

I always ask when talking with peers in the PLM domain: How do you see the digital transformation happening at your customers, and how can you help them?

An interesting question. I see that boundaries between systems are getting thinner. For example, some time ago, you would have a program to deploy a PLM system.

Now I see a lot of “outcome-based” programs, where you focus on the business value and use adequate systems to get there.

For example, a program to speed up product deliveries or improve quality. That type of program involves many different systems and teams. It relates to your “connected enterprise” concept.

This transformation is happening, and I think we are well-positioned to help companies make sense of the connection between different systems and how they digitize their processes.

 

Want to learn more?

Thanks, Helena, for sharing your insights. Are there any specific links you want to provide to learn more? Perhaps some books to read or conferences to visit?

Thanks so much, Jos, for allowing me to discuss this with you today. Yes, I always recommend reading blogs and books to stay up-to-date.

  • We both have good blogging and reading lists on our websites. See on our blog the post The 12 Best PLM Blogs To Follow or the recommendations on your PLM Bookshelf
  • Conferences are also great for connecting with other people. In general, I think it’s very helpful to see examples from other companies to get inspired.
  • And we have our podcast, to my knowledge the only one when you search for PLM – because the interaction is new.

I’m happy to provide some customer references for people who want to learn more about how good training looks practically. Just get in touch with me on LinkedIn or through our website.

What I learned

I know the founders from Share PLM since they were active in Outotec, eager to discuss and learn new PLM concepts. It is impressive to see how they made the next step to launch their company Share PLM and find the niche place that somehow I try to cover too in a similar manner.

When I started my blog virtualdutchman.com in 2008, I wanted to share PLM experiences and knowledge.

Read my 2008 opening post here. It was a one-way sharing – modern at that time – probably getting outdated in the coming years.

However, Helena and the SharePLM team have picked up my mission in a modern manner. They are making PLM accessible and understandable in your company, using a didactical and modern approach to training.

SharePLM perhaps does not focus on the overall business strategy for PLM yet as their focus is on the execution level with a refreshing and modern approach – focussing on the end-user, didactics and attractiveness.  I expect in ten years from now, with the experience and the professional team, they will pick up this part too, allowing me to retire.

 Conclusion

This was the second post around PLM and Education, mainly focussing on what is happening in the field. Where I see CIMdata’s focus on education on the business strategy level, I see Share PLM’s focus on the execution level, making sure the PLM implementation is fun for the end-user and therefore beneficial for the company. The next post will be again about PLM Education, this time before the s** t hits the fan. Stay tuned.

 

Regularly (young) individuals approach me looking for advice to start or boost their PLM career. One of the questions the PLM Doctor is IN quickly could answer.

Before going further on this topic, there is also the observation that many outspoken PLM experts are “old.” Meanwhile, all kinds of new disruptive technologies are comping up.

Can these old guys still follow and advise on all trends/hypes?

My consultant’s answer is: “Yes and No” or “It depends”.

The answer illustrates the typical nature of a consultant. It is almost impossible to give a binary answer; still, many of my clients are looking for binary answers. Generalizing further, you could claim: “Human beings like binary answers”, and then you understand what is happening now in the world.

The challenge for everyone in the PLM domain is to keep an open mindset and avoid becoming binary. Staying non-binary means spending time to digest what you see, what you read or what you hear. Ask yourself always the question: Is it so simple? Try to imagine how the content you read fits in the famous paradigm: People, Processes and Tools. It would help if you considered all these aspects.

Learning by reading

I was positively surprised by Helena Gutierrez’s post on LinkedIn: The 8 Best PLM blogs to follow. First of all, Helena’s endorsement, explaining the value of having non-academic PLM information available as a foundation for her learnings in PLM.

And indeed, perhaps I should have written a book about PLM. However, it would be a book about the past. Currently, PLM is not stable; we are learning every day to use new technologies and new ways of working. For example, the impact and meaning of model-based enterprise.

However, the big positive surprise came from the number of likes within a few days, showing how valuable this information is for many others on their PLM journey. I am aware there are more great blogs out in the field, sometimes with the disadvantage that they are not in English and therefore have a limited audience.

Readers of this post, look at the list of 8 PLM blogs and add your recommended blog(s) in the comments.

Learning by reading (non-binary) is a first step in becoming or staying up to date.

Learning by listening

General PLM conferences have been an excellent way to listen to other people’s experiences in the past. Depending on the type of conference, you would be able to narrow your learning scope.

This week I started my preparation for the upcoming PLM Roadmap and PDT conference. Here various speakers will provide their insight related to “disruption,” all in the context of disruptive technologies for PLM.

Good news, also people and business aspects will be part of the conference.

Click on the image for the agenda and registration

My presentation with the title: DISRUPTION – EXTINCTION or still EVOLUTION? I will address all these aspects. We have entered a decisive decade to prove we can disrupt our old habits to save the planet for future generations.

It is challenging to be interactive as a physical conference; it is mainly a conference to get inspired or guided in your thinking about new PLM technologies and potential disruption.

Learning by listening and storing the content in your brain is the second step in becoming or staying up to date.

Learning by discussing

One of the best learnings comes from having honest discussions with other people who all have different backgrounds. To be part of such a discussion, you need to have at least some basic knowledge about the topic. This avoids social media-like discussions where millions of “experts” have an opinion behind the keyboard. (The Dunning-Kruger effect)

There are two upcoming discussions I want to highlight here.

1. Book review: How to Avoid a Climate Disaster.

On Thursday, May 13th, I will moderate a PLM Global Green Alliance panel discussion on Zoom to discuss Bill Gates’ book: “How to Avoid a Climate Disaster”. As you can imagine, Bill Gates is not known as a climate expert, more as a philanthrope and technology geek. However, the reviews are good.

What can we learn from the book as relevant for our PLM Global Green Alliance?

If you want to participate, read all the details on our PGGA website.

The PGGA core team members, Klaus Brettschneider, Lionel Grealou, Richard McFall, Ilan Madjar and Hannes Lindfred, have read the book.

 

2. The Modular Way Questions & Answers

In my post PLM and Modularity, I announced the option for readers of “The Modular Way” to ask the authors (Björn Eriksson & Daniel Strandhammar) or provide feedback on the book together with a small audience. This session is also planned to take place in May and to be scheduled based on the participants’ availability. At this moment, there are still a few open places. Therefore if you have read the book and want to participate, send an email to tacit@planet.nl or info@brickstrategy.com.

Learning by discussing is the best way to enrich your skills, particularly if you have Active Listening skills – crucial to have for a good discussion.

 

Conclusion

No matter where you are in your career, in the world of PLM, learning never stops. Twenty years of experience have no value if you haven’t seen the impact of digitalization coming. Make sure you learn by reading, by listening and by discussing.

In the last two weeks, three events were leading to this post.

First, I read John Stark’s recent book Products2019. A must-read for anyone who wants to understand the full reach of product lifecycle related activities. See my recent post: Products2019, a must-read if you are new to PLM

Afterwards, I talked with John, discussing the lack of knowledge and teaching of PLM, not to be confused by PLM capabilities and features.

Second, I participated in an exciting PI DX USA 2020 event. Some of the sessions and most of the roundtables provided insights to me and, hopefully, many other participants. You can get an impression in the post: The Weekend after PI DX 2020 USA.

A small disappointment in that event was the closing session with six vendors, as I wrote. I know it is evident when you put a group of vendors in the arena, it will be about scoring points instead of finding alignment. Still, having criticism does not mean blaming, and I am always open to having a dialogue. For that reason, I am grateful for their sponsorship and contribution.

Oleg Shilovitsky mentioned cleverly that this statement is a contradiction.

“How can you accuse PLM vendors of having a limited view on PLM and thanking them for their contribution?”

I hope the above explanation says it all, combined with the fact that I grew up in a Dutch culture of not hiding friction, meanwhile being respectful to others.

We cannot simplify PLM by just a better tool or technology or by 3D for everybody. There are so many more people and processes related to product lifecycle management involved in this domain if you want a real conference, however many of them will not sponsor events.

It is well illustrated in John Stark’s book. Many disciplines are involved in the product lifecycle. Therefore, if you only focus on what you can do with your tool, it will lead to an incomplete understanding.

If your tool is a hammer, you hope to see nails everywhere around you to demonstrate your value

The thirds event was a LinkedIn post from John Stark  – 16 groups needing Product Lifecycle Knowledge, which for me was a logical follow-up on the previous two events. I promised John to go through these 16 groups and provide my thoughts.

Please read his post first as I will not rewrite what has been said by John already.

CEOs and CTOs

John suggested that they should read his book, which might take more than eight hours.  CEOs and CTOs, most of the time, do not read this type of book with so many details, so probably mission impossible.

They want to keep up with the significant trends and need to think about future business (model).

New digital and technical capabilities allow companies to move from a linear, coordinated business towards a resilient, connected business. This requires exploring future business models and working methods by experimenting in real-life, not Proof of Concept. Creating a learning culture and allowing experiments to fail is crucial, as you only learn by failing.

CDO, CIOs and Digital Transformation Executives

They are the crucial people to help the business to imagine what digital technologies can do. They should educate the board and the business teams about the power of having reliable, real-time data available for everyone connected. Instead of standardizing on systems and optimizing the siloes, they should assist and lead in new infrastructure for connected services, end-to-end flows delivered on connected platforms.

These concepts won’t be realized soon. However, doing nothing is a big risk, as the traditional business will decline in a competitive environment. Time to act.

Departmental Managers

These are the people that should worry about their job in the long term. Their current mission might be to optimize their department within its own Profit & Loss budget. The future is about optimizing the information flow for the whole value chain, including suppliers and customers.

I wrote about it in “The Middle Management Dilemma.” Departmental Managers should become more team leaders inspiring and supporting the team members instead of controlling the numbers.

Products Managers

This is a crucial role for the future, assuming a product manager is not only responsible for the marketing or development side of the product but also gets responsibility for understanding what happens with the product during production and sales performance. Understanding the full lifecycle performance and cost should be their mission, supported by a digital infrastructure.

Product Developers

They should read the book Products2019 to be aware there is so much related to their work. From this understanding, a product developer should ask the question:

“What can I do better to serve my internal and external customers ?”

This question will no arise in a hierarchical organization where people are controlled by managers that have a mission to optimize their silo. Product Developers should be trained and coached to operate in a broader context, which should be part of your company’s mission.  Too many people complain about usability in their authoring and data management systems without having a holistic understanding of why you need change processes and configuration management.

Product Lifecycle Management (PLM) deployers

Here I have a little bit of the challenge that this might be read as PLM-system users. However, it should be clear that we mean here people using product data at any moment along the product lifecycle, not necessarily in a single system.

This is again related to your company’s management culture. In the ideal world, people work with a purpose and get informed on how their contribution fits the company’s strategy and execution.

Unfortunately, in most hierarchical organizations, the strategy and total overview get lost, and people become measured resources.

New Hires and others

John continues with five other groups within the organization. I will not comment on them, as the answers are similar to the ones above – it is about organization and culture.

Educators and Students

This topic is very close to my heart, and one of the reasons I continue blogging about PLM practices. There is not enough attention to product development methodology or processes. Engineers can get many years of education in specific domains, like product design principles, available tools and technologies, performing physical and logical simulations.

Not so much time is spent on educating current best practices, business models for product lifecycle management.

Check in your country how many vendor-independent methodology-oriented training you can find. Perhaps the only consistent organization I know is CIMdata, where the challenge is that they deliver training to companies after students have graduated. It would be great if education institutes would embed serious time for product lifecycle management topics in their curriculum. The challenge, of course, the time and budget needed to create materials and, coming next, prioritizing this topic on the overall agenda.

I am happy to participate to a Specialized Master education program aiming at the Products and Buildings Digital Engineering Manager (INGENUM). This program organized by Arts Et Metiers in France helps create the overview for understanding PLM and BIM – in the French language as before COVID-19 this was an on-site training course in Paris.

Hopefully, there are more institutes offering PLM eductation – feel free to add them in the comments of this post.

Consultants, Integrators and Software Company Employees

Of course, it would be nice if everyone in these groups understands the total flow and processes within an organization and how they relate to each other. Too often, I have seen experts in a specific domain, for example, a 3D CAD-system having no clue about revisioning, the relation of CAD to the BOM, or the fundamentals of configuration management.

Consultants, Integrators and Software Company Employees have their own challenges as their business model is often looking for specialized skills they can sell to their clients, where a broader and general knowledge will come from experience on-the-job.

And if you are three years working full-time on a single project or perhaps work in three projects, your broader knowledge does not grow fast. You might become the hammer that sees nails everywhere.

For that reason, I recommend everyone in my ecosystem to invest your personal time to read related topics of interest. Read LinkedIn-posts from others and learn to differentiate between marketing messages and people willing to share experiences. Don’t waste your time on the marketing messages and react and participate in the other discussions. A “Like” is not enough. Ask questions or add your insights.

In the context of my personal learning, I mentioned that I participated in the DigitalTwin-conference in the Netherlands this week. Unfortunately, due to the partial lockdown, mainly a virtual event.

I got several new insights that I will share with you soon. An event that illustrated Digital Twin as a buzzword might be hype, however several of the participants illustrated examples of where they applied or plan to apply Digital Twin concepts. A great touch with reality.

Another upcoming conference that will start next week in the PLM Roadmap 2020 – PDT conference. The theme: Digital Thread—the PLM Professionals’ Path to Delivering Innovation, Efficiency, and Quality is not a marketing theme as you can learn from the agenda. Step by step we are learning here from each other.

 

Conclusion

John Stark started with the question of who should need Product Lifecycle Knowledge. In general, Knowledge is power, and it does not come for free. Either by consultancy, reading or training. Related to Product Lifecycle Management, everyone must understand the bigger picture. For executives as they will need to steer the company in the right direction. For everyone else to streamline the company and enjoy working in a profitable environment where you contribute and can even inspire others.

An organization is like a human body; you cannot have individual cells or organs that optimize themselves only – we have a name for that disease. Want to learn more? Read this poem: Who should be the boss?

 

 

Some of you following my blog this year might not feel so connected with the content I have written many posts related to digitization and the future needs for model-driven approaches, not so much about topics that might keep you awake at this time.

When I look in my blog statistics, the most popular post is ECO/ECR for Dummies, leading with more than 30.000 views since I wrote this post in 2010. You can read the original post here: ECR/ECO for Dummies (2010)

Meanwhile, in most companies, the scope of PLM has broadened, and instead of a change process within the engineering department, it will be part of enterprise change management, connecting all options for change. Therefore, in this post, I will explain the basics of a modern enterprise change process.

It can start with an Issue

Already 10 years ago I was promoting the Issue-object in a PLM data model as this could be the starting point for many activities in the enterprise, product-related, technology-related, customer-related and more.

My definition of an Issue is that it is something happening that was not expected and requires follow-up. In our day-to-day life, we solve many issues by sending an e-mail or picking up the phone, and someone down the chain will resolve the issue (or make it disappear).

The disadvantage of this approach is that there is no collective learning for the organization. Imagine that you could see in your PLM-system how many issues there were with a project, can you learn from that and improve it for the future. Or when you notice you have had several costly issues during manufacturing, but you were never aware of them, because it happened in another country and it was solved there.

By creating issues in the PLM-system related to the object(s), it concerns (a product, a part, a customer, a manufacturing process, an installation, …..) you will create traceability and visibility based on global facts. By classifying the issues, you can run real-time reports on what is happening and what has happened unforeseen in your enterprise.

The challenge is to find a user-interface that can compete with e-mail as an entry point. So far PLM-system providers haven’t invested in highly user-friendly Issue management, leaving the email path possible. PLM Vendors – there is work to do!

Next, depending on the Issue various follow-up processes can start en some of them will be connected. See the diagram below and forgive me my graphical talent.

In this post we will focus only on the ECR and ECO path, leaving the other processes above open for next time.

The Engineering Change Request-process

The term ECR, meaning Engineering Change Request, might not be correct anymore for requested changes in an enterprise. Therefore, sometimes, you might also see the term CR only, without the reference to Engineering. For example, in the software world, you will not follow the same process as used for the hardware world, due to the different lifecycle, speed, and cost involved with software changes.  I will focus only on the ECR here.

As the picture above shows, there are two entry points for an engineering change request. Either someone in the enterprise has an issue that leads to an ECR, or someone in the enterprise has an idea to improve the products and sends it in as a request.

The next steps are quite standard for a typical ECR-process:

Analysis

In the Analysis step assigned individuals will evaluate the request. If it is well understood. Potential solution paths will be evaluated and rated. In case it is a change on a running product, what is the impact of performing this change on current products, current, and future manufacturing, finance, etc. In the analysis-phase there will be no detail design, it is more a feasibility study. In companies already having a well-structured PLM and ERP infrastructure, many of the impact analysis can be done rather fast, as for example the “Where Used” capability is a standard in every PLM-system.

CCB

The abbreviation stands for Change Control Board, a term also used in the software industry. In the case of hardware products, the CCB usually consists of engineering, manufacturing, purchasing, finance and potentially sales, based on the context of the ECR. This group of people decides what will be the next step of the ECR. They have four options:

  1. Ask for further analysis – a decision is not possible.
  2. Mandate the proposed change to be planned immediately by promoting it to an Engineering Change Order, which means the change is going to be executed as needed (Immediate for example in case of a product stop/customer issue – Longer Term when old stock needs to be consumed first)
  3. The proposed change can become a Candidate for the next product release/upgrade and put on hold to be implemented together with other candidates for a release.
  4. The ECR can also be Cancelled meaning the proposed change will potential not create business benefits for the company. Implementing the change might create more complexity as desired.

Engineering Change Order

The image above is an illustration of a possible flow for an ECO. When an ECO is launched a first analysis and planning is required. The ECO can be based on multiple ECRs, or the ECO can be depending on other ECO’s that need to be coordinated.

The ECO process is quite similar to a release process. There will be multidisciplinary collaboration (mechanical/electrical/ …) leading to a complete engineering definition (based on the EBOM). Next Manufacturing Preparation and Planning can be done, where the implementation at the manufacturing plant(s) will be depending on the ECO context.

Note: When only a change in manufacturing will be implemented, for example when certain parts/materials are not available or affordable, we do not name it an ECO but an MCO instead. MCO stands for Manufacturing Change Order and assumes the engineering specification will remain the same.

Conclusion

The ECR/ECO-process is slowly changing due to digitization and a broader implementation scope for PLM – it is no longer a mechanical engineering change process. The availability of digital connected information will offer a base for algorithms in the future, speeding up the process and reducing the effort for a CCB during the ECR-process.

Will these processes still be there in 2025?

 

 

 

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  1. Good day Jos, I was involved in many implementations over the years (including) Philips…. Indeed smart part numbers was a…

  2. Another Interesting article, I also see this kind of development in our company where terminology shifts and approach methods change.…