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Two weeks ago, I shared my first post about PDM/PLM migration challenges on LinkedIn: How to avoid Migration Migraine – part 1. Most of the content discussed was about data migrations.

Starting from moving data stored in relational databases to modern object-oriented environments – the technology upgrade. But also the challenges a company can have when merging different data siloes (CAD & BOM related) into a single PLM backbone to extend the support of product data beyond engineering.

Luckily, the post generated a lot of reactions and feedback through LinkedIn and personal interactions last week.

The amount of interaction illustrated the relevance of the topic for people; they recognized the elephant in the room, too.

 

Working with a partner

Data migrations and consolidation are typically not part of a company’s core business, so it is crucial to find the right partner for a migration project. The challenge with migrations is that there is potentially a lot to do technically, but only your staff can assess the quality and value of migrations.

Therefore, when planning a migration, make sure you work on it iteratively with an experienced partner who can provide a set of tools and best practices. Often, vendors or service partners have migration tools that still need to be tuned to your As-Is and To-Be environment.

To get an impression of what a PLM service partner can do and which topics or tools are relevant in the context of mid-market PLM, you can watch this xLM webinar on YouTube. So make sure you select a partner who is familiar with your PDM/PLM infrastructure and who has the experience to assess complexity.

 

Migration lessons learned

In my PLM coaching career I have seen many migrations. In the early days they were more related to technology upgrades, consolidation of data and system replacements. Nowadays the challenges are more related to become more data-driven. Here are 5 lessons that I learned in the past twenty years:

  1. A fixed price for the migration can be a significant risk as the quality of the data and the result are hard to comprehend upfront. In case of a fixed price, either you would pay for the moon (taking all the risk), or your service partner would lose a lot of money. In a sustainable business model, there should be no losers.
  2. Start (even now) with checking and fixing your data quality. For example, when you are aware of a mismatch between CAD assemblies and BOM data, analyze and fix discrepancies even before the migration.
  3. One immediate action to take when moving from CAD assemblies to BOM structures is to check or fill the properties in the CAD system to support a smooth transition. Filling properties might be a temporary action, as later, when becoming more data-driven, some of these properties, e.g., material properties or manufacturer part numbers, should not be maintained in the CAD system anymore. However, they might help migration tools to extract a richer dataset.
  4. Focus on implementing an environment ready for the future. Don’t let your past data quality compromise complexity. In such a case, learn to live with legacy issues that will be fixed only when needed. A 100 % matching migration is not likely to happen because the source data might also be incorrect, even after further analysis.
  5. The product should probably not be configured in the CAD environment, even because the CAD tool allows it. I had this experience with SolidWorks in the past. PDM became the enemy because the users managed all configuration options in the assembly files, making it hard to use it on the BOM or Product level (the connected digital thread).

 

 The future is data-driven

In addition, these migration discussions made me aware again that so many companies are still in the early phases of creating a unified PLM infrastructure in their company and implementing the coordinated approach – an observation I shared in my report on the PDSFORUM 2024 conference.

Due to sustainability-related regulations and the need to understand product behavior in the field (Digital Twin / Product As A Service), becoming data-driven is an unavoidable target in the near future. Implementing a connected digital thread is crucial to remaining competitive and sustainable in business.

However, the first step is to gain insights about the available data (formats and systems) and its quality. Therefore, implementing a coordinated PLM backbone should immediately contain activities to improve data quality and implement a data governance policy to avoid upcoming migration issues.

Data-driven environments, the Systems of Engagement, bring the most value when connected through a digital thread with the Systems of Record (PLM. ERP and others), therefore,  design your processes, even current ones, user-centric, data-centric and build for change (see Yousef Hooshmand‘s story in this post – also image below).

 

The data-driven Future is not a migration.

The last part of this article will focus on what I believe is a future PLM architecture for companies. To be more precise, it is not only a PLM architecture anymore. It should become a business architecture based on connected platforms (the systems of record) and inter-platform connected value streams (the systems of engagement).

The discussion is ongoing, and from the technical and business side, I recommend reading Prof Dr. Jorg Fischer’s recent articles, for example. The Crisis of Digitalization – Why We All Must Change Our Mindset! or The MBOM is the Steering Wheel of the Digital Supply Chain! A lot of academic work has been done in the context of TeamCenter and SAP.

Also, Martin Eigner recently described in The Constant Conflict Between PLM and ERP a potential digital future of enterprise within the constraints of existing legacy systems.

In my terminology, they are describing a hybrid enterprise dominated by major Systems of Record complemented by Systems of Engagement to support optimized digital value streams.

Whereas Oleg Shilovitsky, coming from the System of Engagement side with OpenBOM, describes the potential technologies to build a digital enterprise as you can read from one of his recent posts: How to Unlock the Future of Manufacturing by Opening PLM/ERP to Connect Processes and Optimize Decision Support.

All three thought leaders talk about the potential of connected aspects in a future enterprise. For those interested in the details there is a lot to learn and understand.

For the sake of the migration story I stay out of the details. However interesting to mention, they also do not mention data migration—is it the elephant in the room?

I believe moving from a coordinated enterprise to a integrated (coordinated and connected) enterprise is not a migration, as we are no longer talking about a single system that serves the whole enterprise.

The future of a digital enterprise is a federated environment where existing systems need to become more data-driven, and additional collaboration environments will have their internally connected capabilities to support value streams.

With this in mind you can understand the 2017 McKinsey article– Our insights/toward an integrated technology operating model – the leading image below:

And when it comes to realization of such a concept, I have described the Heliple-2 project a few times before as an example of such an environment, where the target is to have a connection between the two layers through standardized interfaces, starting from OSLC. Or visit the Heliple Federated PLM LinkedIn group.

Data architecture and governance are crucial.

The image above generalizes the federated PLM concept and illustrates the two different systems connected through data bridges. As data must flow between the two sides without human intervention, the chosen architecture must be well-defined.

Here, I want to use a famous quote from Youssef Housmand’s paper From a Monolithic PLM Landscape to a Federated Domain and Data Mesh. Click on the image to listen to the Share PLM podcast with Yousef.

From a Single Source of Truth towards a principle of the Nearest Source of Truth based on a Single Source of Change

  • If you agree with this quote, you have a future mindset of federated PLM.
  • If you still advocate the Single Source of Truth, you are still in the Monolithic PLM phase.

It’s not a problem if you are aware that the next step should be federated and you are not ready yet.

However, in particular, environmental regulations and sustainability initiatives can only be performed in data-driven, federated environments. Think about the European Green Deal with its upcoming Ecodesign for Sustainable Products Directive (ESPR), which demands digital traceability of products, their environmental impact, and reuse /recycle options, expressed in the Digital Product Passport.

Reporting, Greenhouse Gas Reporting and ESG reporting are becoming more and more mandatory for companies, either by regulations or by the customers. Only a data-driven connected infrastructure can deal with this efficiently. Sustaira, a company we interviewed with the PLM Green Global Alliance last year, delivers such a connected infrastructure.

Read the challenges they meet in their blog post:  Is inaccurate sustainability data holding you back?

Finally, to perform Life Cycle Assessments for design options or Life Cycle Analyses for operational products, you need connections to data sources in real-time. The virtual design twin or the digital twin in operation does not run on documents.

 

Conclusion

Data migration and consolidation to modern systems is probably a painful and challenging process. However, the good news is that with the right mindset to continue and with a focus on data quality and governance, the next step to a integrated coordinated and connected enterprise will not be that painful. It can be an evolutionary process, as the McKinsey article describes it.

I attended the PDSVISION forum for the first time, a two-day PLM event in Gothenburg organized by PTC’s largest implementer in the Nordics, also active in North America, the UK, and Germany.

The theme of the conference: Master your Digital Thread – a hot topic, as it has been discussed in various events, like the recent PLM Roadmap/PDT Europe conference in November 2023.

The event drew over 200 attendees, showing the commitment of participants, primarily from the Nordics, to knowledge sharing and learning.

The diverse representation included industry leaders like Vestas, pioneers in Sustainable Energy, and innovative startups like CorPower Ocean, who are dedicated to making wave energy reliable and competitive. Notably, the common thread among these diverse participants was their focus on sustainability, a growing theme in PLM conferences and an essential item on every board’s strategic agenda.

I enjoyed the structure and agenda of the conference. The first day was filled with lectures and inspiring keynotes. The second day was a day of interactive workshops divided into four tracks, which were of decent length so we could really dive into the topics. As you can imagine, I followed the sustainability track.

Here are some of my highlights of this conference.

 

Catching the Wind: A Digital Thread From Design to Service

Simon Saandvig Storbjerg, unfortunately remote,  gave an overview of the PLM-related challenges that Vestas is addressing. Vestas, the undisputed market leader in wind energy, is indirectly responsible for 231 million tonnes of CO2 per year.

One of the challenges of wind power energy is the growing complexity and need for variants. With continuous innovation and the size of the wind turbine, it is challenging to achieve economic benefits of scale.

As an example, Simon shared data related to the Lost Production Factor, which was around 5% in 2009 and reduced to 2% in 2017 and is now growing again. This trend is valid not only for Vestas but also for all wind turbine manufacturers, as variability is increasing.

Vestas is introducing modularity to address these challenges. I reported last year about their modularity journey related to the North European Modularity biannual meeting held at Vestas in Ringkøbing – you can read the post here.

Simon also addressed the importance of Model-Based Definition (MBD), which is crucial if you want to achieve digital continuity between engineering and manufacturing. In particular, in this industry, MBD is a challenge to involve the entire value chain, despite the fact that the benefits are proven and known. Change in people skills and processes remains a challenge.

 

The Future of Product Design and Development

The session led by PTC from Mark Lobo, General Manager for the PLM Segment, and Brian Thompson, General Manager of the CAD Segment, brought clarity to the audience on the joint roadmap of Windchill and Creo.

Mark and Brian highlighted the benefits of a Model-Based Enterprise and Model-Based Definition, which are musts if you want to be more efficient in your company and value chain.

The WHY is known, see the benefits described in the image, and requires new ways of working, something organizations need to implement anyway when aiming to realize a digital thread or digital twin.

In addition, Mark addressed PTC’s focus on Design for Sustainability and their partner network. In relation to materials science, the partnership with Ansys Granta MI is essential. It was presented later by Ansys and discussed on day two during one of the sustainability workshops.

Mark and Brian elaborated on the PTC SaaS journey – the future atlas platform and the current status of WindChill+ and Creo+, addressing a smooth transition from existing customers to a new future architecture.

And, of course, there was the topic of Artificial Intelligence.

Mark explained that PTC is exploring AI in various areas of the product lifecycle, like validating requirements, optimizing CAD models, streamlining change processes on the design side but also downstream activities like quality and maintenance predictions, improved operations and streamlined field services and service parts are part of the PTC Copilot strategy.

PLM combined with AI is for sure a topic where the applicability and benefits can be high to improve decision-making.

 

PLM Data Merge in the PTC Cloud: The Why & The How

Mikael Gustafson from Xylem, a leading Global Water Solutions provider, described their recently completed project: merging their on-premise Windchill instance TAPIR and their cloud Windchill XGV into a single environment.

TAPIR stands for Technical Administration, Part Information Repository and is very much part-centric and used in one organization. XGV stands for Xylem Global Vault, and it is used in 28 organizations with more of a focus on CAD data (Creo and AutoCAD). Two different siloes are to be joined in one instance to build a modern, connected, data-driven future or, as Mikael phrased it: “A step towards a more manageable Virtual Product“.

It was a severe project involving a lot of resources and time, again showing the challenges of migrations. I am planning to publish a blog post, the draft title “Migration Migraine,” as this type of migration is prevalent in many places because companies want to implement a single PLM backbone beyond (mechanical) engineering.

What I liked about the approach was its focus on assessing the risks and prioritizing a mitigation strategy if necessary. As the list below shows, even the COVID-19 pandemic was challenging the project.

Often, big migration projects fail due to optimism or by assessing some of the risks at the start and then giving it a go.

When failures happen, there is often the blame game: Was it the software, the implementer, or the customer (past or present) that caused the troubles? Mediating in such environments has been a long time my mission as the “Flying Dutchman,” and from my experience, it is not about the blame game; it is, most of the time, too high expectations and not enough time or resources to fully control this journey.

As Michael said, Xylem was successful, and during the go-live, only a few non-critical issues popped up.

When asked what he would do differently with the project’s hindsight, Mikael mentioned he would do the migrations not as a big project but as smaller projects.

I can relate a lot to this answer as, by experience, the “one-time” migration projects have created a lot of stress for the company, and only a few of them were successful.

 

Starting being coordinated and then connected

Several sessions were held where companies shared their PLM journey, to be mapped along the maturity slide (slide 8) I shared in my session: The Why, What and How of Digital Transformation in the PLM domain. You can review the content here on SlideShare.

There was Evolabel, a company starting its PLM journey because they are suffering from ineffective work procedures, information islands and the increasing complexity of its products.

Evolabel realized it needed PLM to realize its market ambition: To be a market leader within five years. For Evolabel, PLM is a must that is repeatable and integrated internally.

They shared how they first defined the required understanding and mindset for the needed capabilities before implementing them. In my terminology, they started to implement a coordinated PLM approach.

Teddy Svenson from JBT, a well-known manufacturer of food-tech solutions, described their next step in PLM. From an old AS/400 system with very little integration to PDM to a complete PLM system with parts, configurations, and change management.

It is not an easy task but a vital stepping stone for future development and a complete digital thread, from sales to customer care. In my terminology, they were upgrading their technology to improve their coordinated approach to be ready for the next digital evolution.

There were several other presentations on Day One – See the agenda here  I cannot cover them all given the limited size of this blog post.

 

The Workshops

As I followed the Sustainability track, I cannot comment much on the other track; however, given the presenters and the topics, they all appeared to be very pragmatic and interactive – given the format.

Achieving sustainability goals by integrating material intelligence into the design process

In the sustainability track, we started with Manuelle Clavel from Ansys Granta, who explained in detail how material data and its management are crucial for designing better-performing, more sustainable, and compliant products.

With the importance of compliance with (upcoming) regulations and the usage of material characteristics in the context of more sustainable products and being able to perform a Life Cycle Assessment, it is crucial to have material information digitally available, both in the CAD design environment as well in the PLM environment.

For me, a dataset of material properties is an excellent example of how it is used in a connected enterprise. You do not want to copy the information from system to system; it needs to be connected and available in real-time.

How can we design more sustainable products?

Together with Martin Lundqvist from QCM, I conducted an interactive session. We started with the need for digitalization, then looked at RoHS and REACH compliance and discussed the upcoming requirements of the Digital Product Passport.

We closed the session with a dialogue on the circular economy.

From the audience, we learned that many companies are still early in understanding the implementation of sustainability requirements and new processes. However, some were already quite advanced and acting. In particular, it is essential to know if your company is involved with batteries (DPP #1) or is close to consumers.

 

Conclusion

The PDSFORUM was for me an interesting experience for meeting companies at all different stages of their PLM journey. All sessions I attended were realistic, and the solutions were often pragmatic. In my day-to-day life, inspiring companies to understand a digital and sustainable future, you sometimes forget the journey everyone is going through.

Thanks, PDVISION, for inviting me to speak and learn at this conference.

and some sad news …..

I was sorry to learn that last week, Dr. Ken Versprille suddenly passed away. I know Ken, as shown in the picture – a passionate moderator and timekeeper of the PLM Roadmap / PDT conferences, well prepared for the details. May his spirit live through the future conferences – the next one already on May 8-9th in Washington, DC.

 

 

 

 

 

 

 

 

Our recent interviews this year with aPriori and SAP were with companies that had less of a focus on the traditional product design process and more of a focus on the (circular) manufacturing process. In these interviews the importance of working with connected data was discussed in a shared (digital) thread.

This time, we, Mark Reisig and Jos Voskuil, were excited to talk with Siemens, not only a well-known PLM vendor but also a manufacturer of products and, therefore, having a close understanding of what is needed and can be achieved with their software solutions.

Siemens

As Siemens is such a broad enterprise; we were happy to speak with Ryan R. Rochelle, who focuses on Sustainable Production, Sustainable Manufacturing and Sustainable Industry within Siemens . In the interview we discussed the importance of digital twins and the feedback loops between design and manufacturing. Despite some flaws in the network connection, we are happy to share an informative interview.

Enjoy listening and watching the next 33 minutes, talking with Ryan Rochelle.

You can download the images shown during the interview HERE

 

What I have learned

  • Like all PLM vendors in this domain, Siemens talks about the importance of a circular economy and the need for digital threads and digital twins, confirming the need for all of us to invest in the  digitization of the product lifecycle.
  • Siemens is in a unique position as both the industrial user and software provider of its PLM suite, therefore having a unique feedback loop on the usability and applicability of its software in its industry.
  • In the area of sustainability, they learn from both customers and internal customers. They are customer zero. Here, they observe shifting in engineering activities to the left” to optimize processes, supply chain and manufacturing earlier . (<<PGGA>>: which aligns with our aPriori and Makersite interviews).
  • Siemens, SiGreen’s solution is an example of this unique position, being  be able to track the carbon footprint of products across the supply chain.

Want to learn more


Conclusion

We have been discussing the relationship between PLM and sustainability with relevant software vendors for over two years now. As we saw initially in 2022, a few companies were exploring the possibilities.

Now, with further regulations and advanced software capabilities, companies are starting to implement new capabilities to make their product development process and products more sustainable. Siemens, as a software provider and an industrial user of its tools, is leading this journey—is it time for your company to step up, too?

 

Our first PGGA interview with PLM-related software vendors was two years ago with SAP. At that time, Sustainability became more visible in corporate strategies, and regulations were imminent.

This time, Klaus Brettschneider and I want to learn what has happened related to Sustainability. Is there visible progress in their organizations and customer base? And what is hot now?

And we were positively surprised by a conversation going in many directions.

SAP

The interview was again with Darren West. Darren is the product expert for SAP’s Circular Economy solutions and this time, Stephan Fester supported him. Stephan is co-leading the SAP Global Circular Manufacturing Practice and, therefore, is well-connected to the field. Last year, in particular, working in discrete manufacturing and discussing circular manufacturing.

Thanks to the expertise of our guests, the discussion went in various directions, with circularity as the central theme.

We discussed the progress of the Responsible Design & Production module that was just launched two years ago. We discussed the Green Ledger and Carbon Accounting, of course, in the context of circular manufacturing.

But also, we discussed the Digital Product Passport. Catena-X, what is it, and what is it targeting?

We also discussed how to deal with the scarcity of materials and materials harvesting.   The interview could not be complete without mentioning AI.

Enjoy the 35-minute interview with Darren and Stephan on our YouTube channel.

The slides shown in this recording can be found here: PGGA talking again with SAP.

 

What we have learned

  • Regulations heavily push SAP customers and require adequate reporting tools, not only for finance and material use but also for sustainability KPIs
  • The Responsible Design & Production module launched two years ago is already in use with 60+ customers, showing the importance of having data-driven decision support for plastic packaging – to be extended to the product. Of course, as a PLM community, we are interested in understanding the next steps toward the product.
  • The insights from Stephan Fester on circular manufacturing can be a logical evolution of the linear product process, as Stephan’s image shows.
  • Great insights on Catena-X as an independent network for data sharing in the global network

 

Want to learn more?

Events and Shows:

Websites:

 

Conclusion

It was a great discussion with a company that is quite active in supporting its customers on a sustainable journey. The journey is complex and has many aspects, as Darren and Stephan shared in this dialogue. The good news is that SAP’s customers are actively implementing measures and processes – going circular is happening!

 

Join the PDSFORUM next month and join me to get inspired an participate in a Think Thank session on day 2 related to designing more sustainable products. Will we meet there?

 

This post shares our second interview this year in the PLM Global Green Alliance series, where we talked with PLM-related software vendors and their activities related to Sustainability. Last year, we spoke mainly with the more traditional PLM vendors, but this year, we started with Makersite, a company specialized in Product Lifecycle Intelligence supporting sustainability analysis.

And now we are happy to talk this time with Mark Rushton,  Senior Product Marketing Manager and Ryan Flavelle, Associate Product Owner, both at aPriori Technologies. For my PGGA partner Mark Reisig and me, it was an interesting discussion in a domain where the focus was not on product design at the time.

 

aPriori

aPriori, according to their website, focuses on Digital Manufacturing, digitizing the entire manufacturing process, from design to production, and therefore able to asses environmental impact in a reliable manner.

It was an informative dialogue. Watch the 35-minute discussion here and learn how aPriori uniquely digitizes the manufacturing processes to support Sustainability.

Slides shown during the interview combined with additional company information can be found HERE.

 

What we have learned

  • aPriori’s customers have pushed the company to provide faster and digital sustainability insights in their manufacturing processes, illustrating that companies are really acting to understand their environmental impact. To measure is to know.
  • In this interview, we saw the concepts of the digital twin of manufacturing processes and the digital twin of a plant.
  • aPriori uniquely starts their impact analysis based on the 3d CAD geometry, being more accurate than what most LCA tools do, a BOM-based assessment,

Want to learn more?

Here are some links to the topics discussed in our meeting:

 

Conclusions

When it comes to sustainability in action, you need to be able measure and understand your environmental impact. Where traditional PLM activities focus on the design phase, there is also a lot to learn during the manufacturing phase. aPriori is doing this on a unique manner, not just based on BOM-analysis. In addition companies like aPriori have already a longer term experience with the virtual twin for manufacturing, originally used for cost and manufacturability analysis. Now extended to sustainability and their customers are working on it.

Next week more about the 3DEXPERIENCE conference – did I see you there?

 

 

 

 

 

We are happy to start the year with the next round of the PLM Global Green Alliances (PGGA) series: PLM and Sustainability. This year, we will speak with some new companies, and we will also revisit some of our previous guests to learn about their progress.

Where we talked with Aras,  Autodesk, CIMdata,  Dassault Systèmes, PTC, SAP, Sustaira and Transition Technologies PSC, there are still a lot of software companies with an exciting portfolio related to sustainability.

Therefore, we are happy to talk this time with  Makersite, a company whose AI-powered Product Lifecycle Intelligence software, according to their home page, brings together your cost, environment, compliance, and risk data in one place to make smarter, greener decisions powered by the deepest understanding of your supply chain. Let’s explore

Makersite

We were lucky to have a stimulating discussion with Neil D’Souza, Makersite’s CEO and founder, who was active in the field of sustainability for almost twenty years, even before it became a cool (or disputed) profession.

It was an exciting dialogue where we enjoyed realistic answers without all the buzzwords and marketing terms often used in the new domain of sustainability. Enjoy the 39 minutes of interaction below:

 

Slides shown during the interview combined with additional company information can be found HERE.

 

What we have learned

  • Makersite’s mission, to enable manufacturers to make better products, faster, initially applied to economic parameters, can be easily extended with sustainability parameters.The power of Makersite is that it connects to enterprise systems and sources using AI, Machine Learning and algorithms to support reporting views on compliance, sustainability, costs and risk.
  • Compliance and sustainability are the areas where I see a significant need for companies to invest. It is not a revolutionary business change but an extension of scope.We discussed this in the context of the stage-gate process, where sustainability parameters should be added at each gate.
  • Neil has an exciting podcast, Five Lifes to Fifty, where he discusses the path to sustainable products with co-hosts Shelley Metcalfe and Jim Fava, and recently, they discussed sustainability in the context of the stage-gate process.
  • Again, to move forward with sustainability, it is about creating the base and caring about the data internally to understand what’s happening, and from there, enable value engineering, including your supplier where possible (IP protection remains a topic) – confirming digital transformation (the connected way of working) is needed for business and sustainability.

 

Want to learn more?

Here are some links to the topics discussed in our meeting:

Conclusions

With Makersite, we discovered an experienced company that used its experience in cost, compliance and risk analysis, including supply chains, to extend it to the domain of sustainability. As their technology partners page shows, they can be complementary in many industries and enterprises.

We will see another complementary solution soon in our following interview. Stay tuned.

 

 

 

 

 

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.

 

It might have been silent in the series of PLM and Sustainability …  interviews where we as PLM Green Global Alliance core team members, talk with software vendors, implementers and consultants and their relation to PLM and sustainability. The interviews are still in a stage of exploring what is happening at this moment. More details per vendor or service provider next year.

Our last interview was in April this year when we spoke with Mark Reisig, Green Energy Practice Director & Executive Consultant at CIMdata. You can find the interview here, and at that time, I mentioned the good news is that sustainability is no longer a software discussion.

As companies are planning or pushed by regulations to implement sustainable strategies, it becomes clear that education and guidance are needed beyond the tools.

This trend is also noticeable in our PLM Green Global Alliance community, which has grown significantly in the past half year. While writing this post, we have 862 members, not all as active as we hoped. Still, there is more good news related to dedicated contributors and more to come in the next PGGA update.

This time, we want to share the interview with Erik Rieger and Rafał Witkowski, both working for Transition Technologies PSC, a global IT solution integrator in the PLM world known for their PTC implementation services.

I met them during the LiveWorx conference in Boston in May – you can read more about the conference in my post:  The weekend after LiveWorx 2023. Here we decided to follow-up on GreenPLM/

 GreenPLM

The label “GreenPLM” is always challenging as it could be considered green-washing. However, in this case, GreenPLM is an additional software offering that can be implemented on top of a PLM system, enabling people to make scientifically informed decisions for a more sustainable, greener product.

For GreenPLM, Rafal’s and Erik’s experiences are based on implementing GreenPLM on top of the PTC Windchill suite. Listen for the next 34 minutes to an educative session and learn.

You can download the slides shown in the recording here.

What I learned

  • It was more a general educative session related to the relation PLM and Sustainability, focusing on the importance of design decisions – the 80 % impact number.
  • Erik considers sustainability not a disruption for designers; they already work within cost, quality and time parameters. Now, sustainability is the fourth dimension to consider.
  • Erik’s opinion is also reflected in the pragmatic approach of GreenPLM as an additional extension of Windchill using PTC Navigate and OSLC standards.
  • GreenPLM is more design-oriented than Mendix-based Sustaira, a sustainability platform we discussed in this series – you can find the recording here.

Want to learn more?

Here are some links related to the topics discussed in our meeting:

Conclusions

With GreenPLM, it is clear that the focus of design for sustainability is changing from a vision (led by software vendors and environmental regulations) towards implementations in the field. Pragmatic and an extension of the current PLM infrastructure. System integrators like Transition Technologies are the required bridge between vision and realization. We are looking for more examples from the field.

Two more weeks to go – don’t miss this opportunity when you are in Europe
Click on the image to see the full and interesting agenda/

 

During May and June, I wrote a guest chapter for the next edition of  John Stark’s book Product Lifecycle Management (Volume 2): The Devil is in the Details.

The book is considered a standard in the academic world when studying aspects of PLM.

Looking into the table of contents through the above link, it shows that understanding PLM in its full scope is broad. I wrote about it recently: PLM is Complex (and we have to accept it?), and Roger Tempest and others are still fighting to get the job as PLM Professional recognized Associate Yourself With Professional PLM.

To make the scope broader, John invited me to write a chapter about PLM and Sustainability, which is an actual topic in many organizations. As sustainability is my dedicated topic in the PLM Global Green Alliance (PGGA) core team, I was happy to accept this challenge.

This activity is challenging because writing a chapter on a current topic might make it outdated soon. For the same reason, I never wanted to write a PLM book as I wrote in my 2014 post: Did you notice PLM is changing?

The book, with the additional chapter, will be available later this year. I want to share with you in this post the topics I addressed in this chapter. Perhaps relevant for your organization or personal interests. Also, I am looking forward to learning if I missed any topics.

 

Introduction

The chapter starts with defining the context. PLM is considered a strategy supported by a connected IT infrastructure, and for the definition of sustainability, I refer to the relevant SDGs as described on our PGGA theme page: PLM and Sustainability

Next, I discuss two major concepts indissoluble connected with sustainability.

 

The Circular Economy

On a planet with limited resources and still a growing consumption of raw materials, we need to follow the concepts of the circular economy in our businesses and lives. The circular economy section addresses mainly the hardware side of the butterfly as, here, PLM practices have the most significant impact.

The circular economy requires collaboration among various stakeholders, including businesses, governments and consumers. It involves rethinking production processes and establishing new consumption patterns. Policies and regulations will push for circular economy patterns, as seen in the following paragraphs.

 

Systems Thinking

A significant change in bringing products to the market will be the need to change how we look at our development processes. Historically, many of these processes were linear and only focused on time to market, cost and quality. Now, we have to look into other dimensions, like environmental impact, usage and impact on the planet. As I wrote in the past Systems Thinking – a must-have skill in the 21st century?

Systems Thinking is a cognitive approach that emphasizes understanding complex problems by considering interconnections, feedback loops, and emergent properties. It provides a holistic perspective and explores multiple viewpoints.

Systems Thinking guides problem-solving and decision-making and requires you to treat a solution with a mindset of a system interacting with other systems.

 

Regulations

More sustainable products and services will be driven primarily by existing and upcoming regulations. In this section, I refer to the success of the CFC (ChloroFluorCarbon) emission reduction, leading to slowly fixing the hole in the Ozon layer. Current regulations like WEEE, RoHS and REACH are already relevant for many companies, and compliance with these regulations is a good exercise for more stringent regulations related to Carbon emissions and upcoming related to the Digital Product Passport.

Making regulatory compliance a part of the concept phase ensures no late changes are needed to become compliant, saving time and costs. In addition, making regulatory compliance as much as possible with a data-driven approach reduces the overhead required to prove regulatory compliance. Both topics are part of a PLM strategy.

In this context, see Lionel Grealou’s article 5 Brand Value Benefits at the Intersection of Sustainability and Product Compliance. The article has also been shared in our PGGA LinkedIn group.

 

Business

On the business side, the Greenhouse Gas Protocol is explained. How companies will have to report their Scope 1 and Scope 2 emissions and, ultimately, Scope 3 – see the image below for the details.

GHG reporting will support companies, investors and consumers to decide where to prioritize and put their money.

Ultimately, companies have to be profitable to survive in their business. The ESG framework is relevant in this context as it will allow investors to put their money not only based on short-term gains (as expected) but also on Environmental or Social parameters. There are a lot of discussions related to the ESG framework, as you might have read in Vincent de la Mar’s monthly newsletter, Sustainability & ESG Insights, which is also published in our PGGA group – a link below..

Besides ESG guidelines, there is also the drive by governments and consumers to push for a Product as a Service economy. Instead of owning products, consumers would pay for the usage of these products.

The concept is not new when considering lease cars, EV scooters, or streaming services like Spotify and Netflix. In the CIMdata PLM Roadmap/PDT Fall 2021 conference, we heard Kenn Webster explaining: In the future, you will own nothing & you will be happy.

Changing the business to a Product as a Service is not something done overnight. It requires repairable, upgradeable products. And business related, it requires a connected ecosystem of all stakeholders – the manufacturer, the finance company, and the operating entities.

 

Digital Transformation

All the subjects discussed before require real-time reporting and analysis combined with data access to compliance-related databases. More in the section related to Life Cycle Assessment. As I discussed last year in several conferences, a sustainability initiative starts with data-driven and model-based approaches during the concept phase, but when manufacturing and operating (connected) products in the field. You can read the entire story here: Sustainability and Data-Driven PLM – the Perfect Storm.

Life Cycle Analysis

Special attention is given in this chapter to Life Cycle Analysis, which seems to be a popular topic among PLM vendors. Here, they can provide tools to make a lifecycle assessment, and you can read an impression of these tools in a guest blog from Roger L. Franz titled PLM Tools to Design for Sustainability – PLM Green Global Alliance.

However, Lifecycle Analysis is not as simple. Looking at the ISO 14040 framework, which describes – having the right goals and scope in mind, allows you to do an LCA where the Product Category Rules (PCS) will enable companies to compare their products with others.

PCRs include the description of the product category, the goal of the LCA, functional units, system boundaries, cut-off criteria, allocation rules, impact categories, information on the use phase, units, calculation procedures, requirements for data quality, and other information on the lifecycle Inventory Phase.

So be aware there is more to do than installing a tool.

 

Digital Twin

This section describes the importance of implementing a digital twin for the design phase, allowing companies to develop, test and analyze their products and services first virtually. Trade-off studies on virtual products are much cheaper, and when they are done in a data-driven, model-based environment, it will be the most efficient environment. In my terminology, setting up such a collaboration environment might be considered a System of Engagement.

The second crucial digital twin mentioned is the digital twin from a product in operation where performance can be monitored and usage can be optimized for a minimal environmental impact. Suppose a company is able to create a feedback loop between its products in the field and its product innovation platform. In that case, it can benchmark its design models and update the product behavior for better performance.

The manufacturing digital twin is also discussed in the context of environmental impact, as choosing the right processes and resources can significantly affect scope 3 emissions.

The chapter finishes with the story of a fictive company, WePack, where we can follow the impact and implementations of the topics described in this chapter.

 

Conclusion

As I described in the introduction, the topic of PLM and Sustainability is relatively new and constantly evolving. What do you think? Did I miss any dimensions?

Feel free to contribute to our PLM Global Green Alliance LinkedIn group.

Looking forward to meet you here

 

 

Last week I enjoyed visiting LiveWorx 2023 on behalf of the PLM Global Green Alliance. PTC had invited us to understand their sustainability ambitions and meet with the relevant people from PTC, partners, customers and several of my analyst friends. It felt like a reunion.

In addition, I used the opportunity to understand better their Velocity SaaS offering with OnShape and Arena. The almost 4-days event, with approximately 5000 attendees, was massive and well-organized.

So many people were excited that this was again an in-person event after four years.

With PTC’s broad product portfolio, you could easily have a full agenda for the whole event, depending on your interests.

I was personally motivated that I had a relatively full schedule focusing purely on Sustainability, leaving all these other beautiful end-to-end concepts for another time.

Here are some of my observations

Jim Heppelman’s keynote

The primary presentation of such an event is the keynote from PTC’s CEO. This session allows you to understand the company’s key focus areas.

My takeaways:

  • Need for Speed: Software-driven innovation, or as Jim said, Software is eating the BOM, reminding me of my recent blog post: The Rise and Fall of the BOM. Here Jim was referring to the integration with ALM (CodeBeamer) and IoT to have full traceability of products. However, including Software also requires agile ways of working.
  • Need for Speed: Agile ways of working – the OnShape and Arena offerings are examples of agile working methods. A SaaS solution is easy to extend with suppliers or other stakeholders. PTC calls this their Velocity offering, typical Systems of Engagement, and I spoke later with people working on this topic. More in the future.
  • Need for Speed: Model-based digital continuity – a theme I have discussed in my blog post too. Here Jim explains the interaction between Windchill and ServiceMax, both Systems of Record for product definition and Operation.
  • Environmental Sustainability: introducing Catherine Kniker, PTC’s Chief Strategy and Sustainability Officer, announcing that PTC has committed to Science Based Targets, pledging near-term emissions reductions and long-term net-zero targets – see image below and more on Sustainability in the next section.
  • A further investment in a SaaS architecture, announcing CREO+ as a SaaS solution supporting dynamic multi-user collaboration (a System of Engagement)
  • A further investment in the partnership with Ansys fits the needs of a model-based future where modeling and simulation go hand in hand.

You can watch the full session  Path to the Future: Products in the Age of Transformation here.

 

Sustainability

The PGGA spoke with Dave Duncan and James Norman last year about PTC’s sustainability initiatives. Remember: PLM and Sustainability: talking with PTC. Therefore, Klaus Brettschneider and I were happy to meet Dave and James in person just before the event and align on understanding what’s coming at PTC.

We agreed there is no “sustainability super app”; it is more about providing an open, digital infrastructure to connect data sources at any time of the product lifecycle, supporting decision-making and analysis. It is all about reliable data.

 

Product Sustainability 101

On Tuesday, Dave Duncan gave a great introductory session, Product Sustainability 101, addressing Business Drivers and Technical Opportunities. Dave started by explaining the business context aiming at greenhouse gas (GHG) reduction based on science-based targets, describing the content of Scope 1, Scope 2 and Scope 3 emissions.

The image above, which came back in several presentations later that week, nicely describes the mapping of lifecycle decisions and operations in the context of the GHG protocol.

 

Design for Sustainability (DfS)

On Wednesday, I started with a session moderated by James Norman titled Design for Sustainability: Harnessing Innovation for a Resilient Future. The panel consisted of Neil D’Souza (CEO Makersite), Tim Greiner (MD Pure Strategies), Francois Lamy (SVP Product Management PTC) and Asheen Phansey (Director ESG & Sustainability at PagerDuty). You can find the topic discussed below:

Some of the notes I took:

  • No specific PLM modules are needed, LCA needs to become an additional practice for companies, and they rely on a connected infrastructure.
  • Where to start? First, understand the current baseline based on data collection – what is your environmental impact? Next, decide where to start
  • The importance of Design for Service – many companies design products for easy delivery, not for service. Being able to service products better will extend their lifetime, therefore reducing their environmental impact (manufacturing/decommissioning)
  • There Is a value chain for carbon data. In addition, suppliers significantly impact reaching net zero, as many OEMs have an Assembly To Order process, and most of the emissions are done during part manufacturing.

 

DfS: an example from Cummins

Next, on Wednesday, I attended the session from David Genter from Cummins, who presented their Design for Sustainability (DfS) project.

Dave started by sharing their 2030 sustainability goals:

  • On Facilities and  Operations: A reduction of 50 % of GHG emissions, reducing water usage by 30 %, reducing waste by 25 % and reducing organic compound emissions by 50%
  • Reducing Scope 3 emissions for new products by 25%
  • In general, reducing Scope 3 emissions by 55M metric tons.

The benefits for products were documented using a standardized scorecard (example below) to ensure the benefits are real and not based on wishful thinking.

Many motivated people wanted to participate in the project, and the ultimate result demonstrated that DfS has both business value for Cummins and the environment.

The project has been very well described in this whitepaper: How Cummins Made Changes to Optimize Product Designs for the Environment – a recommended case study to read.

 

Tangible Strategies for Improving Product Sustainability

The session was a dialogue between Catherine Kniker and Dave Duncan, discussing the strategies to move forward with Sustainability.

They reiterated the three areas where we as a PLM community can improve: Material choice and usage, Addressing Energy Emissions and Reducing Waste. And it is worth addressing them all, as you can see below – it is not only about carbon reduction.

It was an informative dialogue going through the different aspects of where we, as an engineering/ PLM community, can contribute. You can watch their full dialog here: Tangible Strategies for Improving Product Sustainability.

 

Conclusion

It was encouraging to see that at such an event as LiveWorx, you could learn about Sustainability and discuss Sustainability with the audience and PTC partners. And as I mentioned before, we need to learn to measure (data-driven / reliable data), and we need to be able to work in a connected infrastructure (digital thread) to allow design, simulation, validation and feedback to go hand in hand. It requires adapting a business strategy, not just a tactical solution. With the PLM Global Green Alliance, we are looking forward to following up on these.

NOTE: PTC covered the expenses associated with my participation in this event but did not in any way influence the content of this post – I made my tour fully independent through the conference and got encouraged by all the conversations I had.

 

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  1. Oleg Shilovitsky's avatar

    Hi Jos, Knowing your background in methodology and education, I wanted to share a longer article with you: “What is…

  2. Bart Willemsen's avatar

    Interesting reflection, Jos. In my experience, the situation you describe is very recognizable. At the company where I work, sustainability…

  3. Unknown's avatar
  4. Håkan Kårdén's avatar

    Jos, all interesting and relevant. There are additional elements to be mentioned and Ontologies seem to be one of the…