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Meanwhile, two weeks of a partial lockdown have passed here in the Netherlands, and we have at least another 3 weeks to go according to the Dutch government. The good thing in our country, decisions, and measures are made based on the advice of experts as we cannot rely on politicians as experts.

I realize that despite the discomfort for me, for many other people in other countries, it is a tragedy. My mental support to all of you, wherever you are.

So what has happened since Time to Think (and act differently)?

All Hands On Deck

In the past two weeks, it has become clear that a global pandemic as this one requires an “All Hands On Deck” mentality to support the need for medical supplies and in particular respiration devices, so-called ventilators. Devices needed to save the lives of profoundly affected people. I have great respect for the “hands” that are doing the work in infectious environments.

Due to time pressure, innovative thinking is required to reach quick results in many countries. Companies and governmental organizations have created consortia to address the urgent need for ventilators. You will not see so much PR from these consortia as they are too busy doing the real work.

Still, you see from many of the commercial participants their marketing messages, why, and how they contribute to these activities.

One of the most promoted capabilities is PLM collaboration on the cloud as there is a need for real-time collaboration between people that are under lockdown. They have no time setting-up environments and learning new tools to use for collaboration.

For me, these are grand experiments, can a group of almost untrained people corporate fast in a new environment.

For sure, offering free cloud software, PLM, online CAD or 3D Printing, seems like a positive and compassionate gesture from these vendors. However, this is precisely the wrong perception in our PLM-world – the difficulty with PLM does not lie necessary in the tools.

 

It is about learning to collaborate outside your silo.

Instead of “wait till I am done” it should become “this is what I have so far – use it for your progress”. This is a behavior change.

Do we have time for behavioral changes at this moment? Time will tell if the myth will become a reality so fast.

A lot of thinking

The past two weeks were weeks of thinking and talking a lot with PLM-interested persons along the globe using virtual meetings.

As long as the lockdowns will be there I keep on offering free of charge PLM coaching for individuals who want to understand the future of PLM.

Through all these calls, I really became THE VirtualDutchman in many of these meetings (thanks Jagan for the awareness).

I realized that there is a lot of value in virtual meetings, in particular with the video option on. Although I believe video works well when you had met before as most of my current meetings were with people, I have met before face-to-face. Hence, you know each other facial expressions already.

I am a big fan of face-to-face meetings as I learned in the past 20 years that despite all the technology and methodology issues, the human factor is essential. We are not rational people; we live and decide by emotions.

Still, I conclude that in the future, I could do with less travel, as I see the benefits from current virtual meetings.

Less face-to-face meetings will help me to work on a more sustainable future as I am aware of the impact flying has on the environment. Also, talking with other people, there is the notion that after the lockdowns, virtual conferencing might become more and more a best practice. Good for the climate, the environment, and time savings – bad for traditional industries like aircraft carriers, taxis, and hotels. I will not say 100 % goodbye but reduce.

A Virtual PLM conference!

I was extremely excited to participate in the upcoming PLM Innovation Forum (PLMIF) starting on April 28th, organized by TECHNIA. I have been visiting the event in the past a few times in Stockholm. It was a great place to meet many of the people from my network.

This time I am even more excited as the upcoming PLMIF will be a VIRTUAL conference with all the aspects of a real conference – read more about the conference here.

There will be an auditorium where lectures will be given, there are virtual booths, and it will be a place to network virtually. In my next post, I hope to zoom in on the conference.

Sustainability, a circular economy, and modern PLM should go together. Since 2014, these topics have been on the agenda of the joint CIMdata Roadmap/PDT conferences. Speakers like Amir Rashid KTH Sweden, Ken Webster Ellen MacArthur Foundation, and many others have been talking about the circular economy.

The Scandinavian mindset for an inclusive society for people and the environment for sure, has influenced the agenda. The links above lead to some better understanding of what is meant by a circular economy and a sustainable future, as also the short YouTube movie below:

The circular economy is crucial for a sustainable future. Therefore, I am looking forward to participating in the upcoming PLM Innovation Forum on April 28th, where it will be all about digitalization for sustainable product development and manufacturing. Hopefully, with the right balance towards the WHY-side of our brain, not so much about WHAT.

You are welcomed to register for free here: the virtual PLM Innovation Forum – we might meet there (virtually).

The PLM Green Alliance

The PLM Green Alliance had been announced some months ago, started by Rich McFall and supported by  Bjorn Fidjeland,  Oleg Shilovitsky, and me.

It was the first step to proactively bringing people together to discuss topics like reducing our carbon footprint, sharing and brainstorming about innovations that will lead to a sustainable future for ourselves and our children, grand-grand-children. The idea behind the PLM Green Alliance is that a proactive approach is much cheaper in the long term as we can still evaluate and discuss options.

This brings me back to the All hands On Deck approach we currently use for fighting the COVID-19 virus.

In a crisis mode, the damage to the people and the economy is severe. Besides, in a crisis mode, a lot of errors will be made, but don’t blame or joke about these people that are trying. Without failure, there is no learning.

We are in a potential time of disruption as the image shows below, but we do not have the complete answers for the future

Think about how you could pro-actively work on a sustainable future for all of us. This will be my personal target, combined with explaining and coaching companies related to topics of modern PLM, during the current lockdown and hopefully long after. The PLM Green Alliance is eager to learn from you and your companies where they are contributing to a more sustainable and greener future.

Do not feel your contribution is not needed, as according to research done by the Carr Center’s Erica Chenoweth: The ‘3.5% rule’: How a small minority can change the world. It could be an encouragement to act instead of watching who will determine your future.

Conclusion

While learning to live in a virtual world, we might be realizing that the current crisis is an opportunity to switch faster to a more sustainable and inclusive society. For PLM moving to data-driven, cloud-based environments, using a Model-Based approach along the whole lifecycle, is a path to reduce friction when delivering innovations. From years to weeks? Something we wished to have today already. Stay safe!

People, wherever you are, we are in a kind of lockdown. Some countries more restricted than others. Still, the challenge will be for most of us how to survive in two perhaps three months of being locked in your home and make the best of it. As I am not a virus expert, I will not give you any recommendations on this topic. As a PLM geek, I want to share with you the opportunities I see for the upcoming months.

A crisis is an opportunity

Most of us should be lucky that we do not live in the same situation as twenty years ago. At that time, internet connectivity was expensive and slow. Meaning working from home would mean isolation from the rest of the world. The positive point now is that we can be connected virtually without travel, without face-to-face meetings, and we are pushed to do so. This external push is an interesting point for me.

The traditional attitude for my PLM engagements was that face-to-face meetings are crucial for creating a human connection and trust. Now I ask myself is this a behavior of the past that should become obsolete in the future. Probably we cannot afford this approach anymore in the future if we take sustainability and the environment into consideration. We live now in a globally connected world, but should we act still in the old way?

Perhaps not. Let’s look at some of the examples that it is time to shift behaviors.

We might think in the Western world we know it all due to our dominance in the past hundred years. However, when you study history, you will see civilizations come to power and after hundreds of years, they lose power because they kill themselves internally. Apparently, a typical human property that will not disappear – still interesting to analyze when considering a globally connected world. Where is the point of gravity today?

Interestingly, the ancient Chinese population already knew that a crisis was an opportunity, as I am being told. The Chinese characters for crisis mean danger and opportunity, respectively, according to Wiki – see the image above. Joe Barkai was one of the first in my network that took action to explain that instead of focusing on the loss of what is happening now, we should take the opportunity to be better prepared for the future. You can read his post here: The Corona virus and your company’s brand. And these kinds of messages are popping up more frequently now. Let’s stay safe while thinking and preparing for the future.

Now a PLM related example.

Remember what the FFF is happening?

Two-three weeks ago, we had a vivid discussion in our PLM and CM community based on the famous FFF mnemonic.  What the FFF is happening was a post sharing my point of view, and there were a lot of reactions from different people.

The purpose of my post was to explain that the whole discussion was based on paradigms that drawings are defining the part. Because of that, we have a methodology to decide if YES or NO we need a new part number or revision. To me, this practice should no longer be a discussion.

A part has a unique identifier, and a document has a unique identifier. In PLM-systems, the information is managed by relations, no longer by identifiers – who knows the exact unique identifier? In a PLM-system information is connected, and the attributes of the part and document will tell you the details of the type of information. “Intelligent or meaningful” identifiers are in such an environment no longer relevant. Think about that…..

In the comments of my post, Jesse Leal was confirming this statement:

This in contrary to Joe Brouwer, who you might have noticed, always is spitting his opinion that the good old days of the draftsman are gone, Boeing made a tremendous mistake and that PLM is fake. This all combined with hyperlinks to his products and opinions. The comment below says it all:

Two points to observe in this response:

Hey, Bob, send me the new digital identifier”.

This statement assumes that if a person needs to retrieve information from someone else, they need to contact this person (Bob).

Bob then needs to drop his current work and answer to the response and send the latest version of a drawing?  This is old school. In a PLM-system,  information should be connected, and if Bob has released his latest drawing (no matter if it is FFF), any user could find the latest approved version, not even having to look at the identifier (which could be meaningless) but by following the relations between products, parts, and documents.

This is PLM!

One of the benefits, Bob does not get disturbed during the day by these kinds of questions and can focus on his critical work as an expert.

Second, if you need to sit with a designer to understand PLM, then you are probably talking with the wrong person. Designers work in the context of PDM. When we speak about PLM, we are talking about a broader scope beyond engineering and design.

This is a common mistake in a lot of marketing stories. Companies that focus on the design space only, some EBOM-integrations with CAD-systems, are most of the time focusing on PDM.  When Agile PLM came out (later Oracle E9) and later Aras without CAD-integrations, these companies were focusing on the flow of information inside the company, not necessarily driven by CAD. Of course, the traditional PLM companies combine CAD integration with other capabilities. Dassault Systèmes, Siemens, and PTC all have a strong relationship with their native CAD-systems. However, their offerings go way beyond CAD-integrations e.g. end-to-end governance, change processes and an item-centric backbone.

The diagram above explains the basics for the future. In a push-mode, the person in the middle has the responsibility to distribute information and ensure it remains accurate for all stakeholders. This makes this person crucial (good job security) but extremely inefficient compared to people working in the pull-mode, being responsible for getting the accurate data themselves. It may be clear the pull-mode is the model of a digital enterprise.

So if you have the time now, take this time to rethink how well your company is ready for a digital future. Companies that currently rely on Bob are in trouble as Bob is currently sitting at home. Companies that have learned to shift from the push-mode to the pull-mode could continue working as planned, as they do not need Bob. And don’t worry about your job. If you are in Bob’s position you will lose your job over time. However, when you keep on evolving, learning and adding value to your company, you will be always needed – don’t lock yourself in.

If you want to be inspired more in this area, read Jan Bosch’s post: This is not the end . Here Jan mentions the opportunity to move to digital practices (and more) – get out of our traditional patterns

 

What can you do?

Even though COVID-19 has, and will have, a dramatic impact on our society, this is also the moment to rewire some of our processes.  Because there was never time to think and act due to the running business. It reminded me of the financial crisis in 2008, when the market for PLM vendors was terrible, no significant sales for them as companies could not invest.

However, for me, 2008 was an extremely busy year,  thanks to all kinds of regulations from governments. There was time and budget to support employees to raise their skills and PLM was one of these domains. That year I conducted many workshops. It was also the year that I started my blog virtualdutchman.com.

Now we are in a similar situation and probably worse as now we are locked to our homes. However, we are also better connected. Imagine this situation without the internet. Now we can learn even better.

So let’s benefit from this connectivity and use the lockdown time to learn, think, and discuss with peers. Challenge and involve the management of your company how they see and lead to the future.


In that context, I am happy to spend on average one day per week on free conference calls if you need clarification or support for your PLM-related ideas.

Contact me through a personal message on LinkedIn, and we will find a way to connect.

 

Conclusion

This decade will be decisive for many of us. At the beginning of this year, I wrote PLM 2020- The next decade (4 challenges). With my narrow PLM-mind, I overlooked viruses. Bill Gates did not do that, as you can see from his 2015 TED talk: The next outbreak? We’re not ready.  Bill also explains that our traditional thinking patterns should change in a globally connected world.

I wish you all the time to think and educate yourself and prepare for a changed future. Stay safe inside, stay healthy, knowing for some of you it will be a big challenge.

At the beginning of this week, I was attending the 9th edition of the PI conference in London. Where it started as a popular conference with 300 – 400 attendees at its best, we were now back to a smaller number of approximately 100 attendees.

It illustrates that PLM as a standalone topic is no longer attracts a broad audience as Marketkey (the organization of the conference) confirms. The intention is that future conferences will be focusing on the broader scope of PLM, where business transformation will be one of the main streams.

In this post, I will share my highlights of the conference, knowing that other sessions might have been valuable too, but I had to make a choice.

It is about people

Armin Prommersberger, CTO from DIRAC and the chairman of the conference, made a great point: “What we will discuss in the upcoming two days, it is all about people not about technology.”

I am not sure if this opening has influenced the mood of the conference, as when I look back to what was the central theme: It is all about how we deal with people when explaining, implementing and justifying PLM.

AI at the Forefront of a Digital Transformation

Muhannad Alomari from R2 Data Labs as a separate unit within Rolls Royce to explore and provide data innovation started with his keynote speech sharing the AI initiatives within his team.

He talked about several projects where AI will become crucial.

For example, the EHM program related to engine behavior. How to detect anomalies, how to establish predictive maintenance and maximize the time an airplane engine is in operation. Interesting to mention is that Muhannad explained that most simulation models are based on simplified simulation models, not accurate enough to discover anomalies.

Modeling in the PLM world with feedback from reality

Machine learning and feedback loops are crucial to optimize the models both for the discovery of irregularities and, of course, to improve understanding of the engine behavior and predict maintenance. Currently, maintenance is defined based on the worst-case scenario for the engine, which in reality, of course, will not be the case for most engines. There is a lot (millions) to gain here for a company.

Interesting to mention is that Muhannad gave a realistic view of the current status of Artificial Intelligence (AI). AI is currently still dumb – it is a set of algorithms that need to be adapted whenever new patterns are discovered. Deep learning is still not there – currently, we still need human beings for that.

This was in contrast with the session from Kalypso later with the title: Supercharge your PLM with advanced analytics. It was a typical example of where a realistic story (R2 Data Labs) shows such a big difference with what is sold by PLM vendors or implementers. Kalypso introduced Product Lifecycle Intelligence (PLI) – you can see the dream on the left (click on the image to enlarge).

Combine PLM with Analytics, and you have Intelligence.  My main comment is, knowing from the field the first three phases in most companies have a lack of data quality and consistency. Therefore any “Intelligence” probably will be based on unreliable sources. Not an issue if you are working in the domain of politics, however when it comes to direct cost and quality implications, it can be a significant risk. We still have a way to go before we have a reliable PLM data backbone for analytics.

 

Keeping PLM Momentum after a Successful Campaign

Susanna Mäentausta from Kemira in Finland gave an exciting update of their PLM project. Where in 2019, she shared with us their PLM roadmap (see my 2019 post: The weekend after PI PLMx London 2019); this time, Susanna shared with us how they are keeping the PLM momentum.

Often PLM implementations are started based on a hypothetical business case (I talked about this in my post The PLM ROI Myth). But then, when you implement PLM, you need to take care you provide proof points to motivate the management. And this is exactly what the PLM team in Kemira has been doing. Often management believes that after the first investment, the project is done (“We bought the software – so we are done”) however the business and process change that will deliver the value is not reported.

Susanna shared with us how they defined measurable KPIs for two reasons.  First, to motivate the management that there are business progress and benefits, however, it is a journey. And secondary the facts are used to kill the legends that “Before PLM we were much faster or efficient.” These types of legends are often expressed loudly by persons who consider PLM as an overhead (killing their freedom) instead of a way to be more efficient in business. In the end, for a company, the business is more important than the person’s belief.

On the question for Susanna, what she would have done better with hindsight, she answered: “Communicate, communicate, communicate.” A response I fully support as often PLM teams are too busy completing their day-to-day work, that there is no spare time for communication. Crucial to achieving a business change.

My agreement: PLM needs facts based during implementation and support combined with the understanding we are dealing with people and their emotions too. Both need full attention.

Acceleration Digitalization at Stora Enso

Samuli Savo, Chief Digital Officer at Stora Enso, explained the principles of innovation, related to digitalization at his company. Stora Enso, a Swedish/Finish company, historically one of the largest forestry companies in the world as well as one of the most significant paper and packaging producers, is working on a transformation to become the renewable materials company. For me, he made two vital points on how Stora Enso’s digitalization’s journey is organized.

He pleads for experimentation funded by corporate as in the experimental stage, as it does not make sense to have a business case. First DO and then ANALYZE, where many companies have to policy first to ANALYZE and then DO, killing innovative thinking.

The second point was the active process to challenge startups to solve business challenges they foresee and, combined with a governance process for startups, allow these companies to be supported and become embedded within member companies of the Combient Foundry, like Stora Enso. By doing such in a structured way, the outcome must lead to innovation.

I was thinking about the hybrid enterprise model that I have been explaining in the past. Great story.

Cyber-security and Future Mobility

Out of interest, I followed the session from Madeline Cheah, Cybersecurity Innovation Lead at HORIBA MIRA. She gave an excellent and well-structured overview. Madeline leads the cybersecurity research program. Part of this job is investigating ways to prevent vehicles from being attacked.  In particular, when it comes to connected and autonomous vehicles. How to keep them secure.

She discussed the known gaps are and the cybersecurity implications of future mobility so extensive that I even doubted will there ever be an autonomous vehicle on the road. So much to define and explore. She looked at it from the perspective of the Internet of Everything, where Everything is divided into Things, Data, Processes, and People. Still, a lot of work to do, see image below

Good Times Ahead: Delay Mitigation Through a Plan for Every Part

Ian Quest, director at Quick Release, gave an overview of what their company aims to be. You could translate it as the plumbers of the automotive industry Where in the ideal world information should be flowing from design to release, there are many bottlenecks, leakages, hiccups that need to be resolved as the image shows.

Where their customers often do not have the time and expertise to fix these issues, Quick Release brings in various skillsets and common sense. For example, how to deal with the Bill of Materials, Configuration Management, and many other areas that you need to address with methodology first instead of (vendor-based) technology. I believe there is a significant need for this type of company in the PLM-domain.

The second part, presented by Nick Solly, with a focus on their QRonos tool, was perhaps a little too much a focus on the capabilities of the tool. Ian Quest, in his introduction,  already made the correct statement:

The QRonos tool, which is more or less a reporting tool, illustrates again that when people care about reliable data (planning, tasks, parts, deliverables, …..), you can improve your business significantly by creating visibility to delays or bottlenecks. The value lies in measurable activities and from there, learn to predict or enhance – see R2 Labs, Kemira and the PLI dream.

Conclusion

It is clear that a typical PLM conference is no longer a technology festival – it is about people. People are trying to change or improve their business. Trying to learn from each other, knowing that the technical concepts and technology are there.

I am looking forward to the upcoming PI events where this change will become more apparent.

 

It’s the beginning of the year. Companies are starting new initiatives, and one of them is potentially the next PLM-project. There is a common understanding that implementing PLM requires a business case with ROI and measurable results. Let me explain why this understanding is a myth and requires a myth.

I was triggered by a re-post from Lionel Grealou, titled: Defining the PLM Business Case.  Knowing Lionel is quite active in PLM and digital transformation, I was a little surprised by the content of the post. Then I noticed the post was from January 2015, already 5 years old. Clearly, the world has changed (perhaps the leadership has not changed).

So I took this post as a starting point to make my case.

In 2015, we were in the early days of digital transformation. Many PLM-projects were considered as traditional linear projects. There is the AS-IS situation, there is the TO-BE situation. Next, we know the  (linear) path to the solution and we can describe the project and its expected benefits.

It works if you understand and measure exactly the AS-IS situation and know almost entirely the TO-BE situation (misperception #1).

However,  implementing PLM is not about installing a new transactional system. PLM implementations deal with changing ways-of-working and therefore implementing PLM takes time as it is not just a switch of systems. Lionel was addressing this point:

“The inherent risks associated with any long term business benefit driven projects include the capability of the organization to maintain a valid business case with a benefit realization forecast that remains above the initial baseline. The more rework is required or if the program delivery slips, the more the business case gets eroded and the longer the payback period.”

Interestingly here is the mentioning ..the business case gets eroded – this is most of the time the case. Lionel proposes to track business benefits. Also, he mentions the justification of the PLM-project could be done by considering PLM as a business transformation tool (misperception #2) or a way to mitigate risk,s due to unsupported IT-solutions (misperception #3).

Let’s dive into these misperceptions

#1 Compare the TO-BE and the AS-IS situation

Two points here.

  1. Does your company measure the AS-IS situation? Do you know how your company performs when it comes to PLM related processes? The percentage of time spent by engineers for searching for data has been investigated – however, PLM goes beyond engineering. What about product management, marketing, manufacturing, and service?  Typical performance indicators mentioned are:
    • Time To Market (can you measure?)
    • Developing the right product – better market responsiveness (can you measure?)
    • Multidisciplinary collaboration (can you measure?)
  2. Do you know the exact TO-BE situation? In particular, when you implement PLM, it is likely to be in the scope of a digital transformation. If you implement to automate and consolidate existing processes, you might be able to calculate the expected benefits. However, you do not want to freeze your organization’s processes. You need to implement a reliable product data infrastructure that allows you to enhance, change, or add new processes when required. In particular, for PLM, digital transformation does not have a clear target picture and scope yet. We are all learning.

#2 PLM is a business transformation tool

Imagine you install the best product innovation platform relevant for your business and selected by your favorite consultancy firm. It might be a serious investment; however, we are talking about the future of the company, and the future is in digital platforms. So nothing can go wrong now.

Does this read like a joke? Yes, it is, however, this is how many companies have justified their PLM investment. First, they select the best tool (according to their criteria, according to their perception), and then business transformation can start. Later in time, the implementation might not be so successful; the vendor and/or implementer will be blamed. Read: The PLM blame game

When you go to PLM conferences, you will often hear the same mantras: Have a vision, Have C-level sponsoring/involved, No Big Bang, it is a business project, not an IT-project, and more. And vendor-sponsored sessions always talk about amazing fast implementations (or did they mean installing the POC ?)

However, most of the time, C-level approves the budget without understanding the full implications (expecting the tool will do the work); business is too busy or does not get enough allocated time to supporting implementation (expecting the tool will do the work). So often the PLM-project becomes an IT-project executed mainly by the cheapest implementation partner (expecting the tool will do the work). Again this is not a joke!

A business transformation can only be successful if you agree on a vision and a learning path. The learning path will expose the fact that future value streams require horizontal thinking and reallocation of responsibilities – breaking the silos, creating streams.

Small teams can demonstrate these benefits without disrupting the current organization. However, over time the new ways of working should become the standard, therefore requiring different types of skills (people), different ways of working (different KPIs and P&L for departments), and ultimate different tools.

As mentioned before, many PLM-projects start from the tools – a guarantee for discomfort and/or failure.

#3 – mitigate risks due to unsupported IT-solutions

Often PLM-projects are started because the legacy environment becomes outdated. Either because the hardware infrastructure is no longer supported/affordable or the software code dependencies on the latest operating systems are no longer guaranteed.

A typical approach to solve this is a big-bang project – the new PLM system needs to contain all the old data and meanwhile, to justify the project, the new PLM system needs to bring additional business value. The latter part is most of the time not difficult to identify as traditional PLM implementations most of the time were in reality cPDM environments with a focus on engineering only.

However, the legacy migration can have such a significant impact on the new PLM-system that it destroys the potential for the future. I wrote about this issue in The PLM Migration Dilemma

How to approach PLM ROI?

A PLM-project never will get a budget or approval from the board when there is no financial business case. Building the right financial business case for PLM is a skill that is often overlooked. During the upcoming PI PLMx London conference (3 – 4 February), I will moderate a Focus Group where we will discuss how to get PLM on the Exec’s agenda.

Two of my main experiences:

  • Connect your PLM-project to the business strategy. As mentioned before, isolated PLM fails most of the time because business transformation, organizational change and the targeted outcome are not included. If PLM is not linked to an actual business strategy, it will be considered as a costly IT-project with all its bad connotations. Have a look at my older post: PLM, ROI and disappearing jobs
  • Create a Myth. Perhaps the word Myth is exaggerated – it is about an understandable vision. Myth connects nicely to the observations from behavioral experts that our brain does not decide on numbers but by emotion. Big decisions and big themes in the world or in a company need a myth: “Make our company great again” could be the tagline. In such a case people get aligned without a deep understanding of what is the impact or business case; the myth will do the work – no need for a detailed business case. A typical human behavior, see also my post: PLM as a myth.

Conclusion

There should never be a business case uniquely for PLM – it should always be in the context of a business strategy requiring new ways of working and new tools. In business, we believe that having a solid business case is the foundation for success. Sometimes an overwhelming set of details and numbers can give the impression that the business case is solid.  Consultancy firms are experts in this area to build a business case based on emotion. They know how to combine numbers with a myth. Therefore look at their approach – don’t be too technical / too financial. If the myth will hold, at the end depends on the people and organization, not on the investments in tools and services.

Last week I read Verdi Ogewell’ s article:  PTC puts the Needle to the Digital Thread on Engineering.com where Verdi raised the question (and concluded) who is the most visionary PLM CEO – Bernard Charles from Dassault Systemes or Jim Heppelman from PTC. Unfortunate again, an advertorial creating more haziness around modern PLM than adding value.

People need education and Engineering.com is/was a respected site for me, as they state in their Engineering.com/about statement:

Valuable Content for Busy Engineers. Engineering.com was founded on the simple mission to help engineers be better.

Unfortunate this is not the case in the PLM domain anymore. In June, we saw an article related to the failing PLM migration at Ericsson – see The PLM migration dilemma. Besides the fact that a big-bang migration had failed at Ericsson, the majority of the article was based on rumors and suggestions, putting the sponsor of this article in a better perspective.

Of course, Engineering.com needs sponsoring to host their content, and vendors are willing to spend marketing money on that. However, it would be fairer to mention in a footnote who sponsored the article – although per article you can guess. Some more sincere editors or bloggers mention their sponsoring that might have influenced their opinion.

Now, why did the article PTC puts the Needle to the Digital Thread made me react ?

Does a visionary CEO pay off?

It can be great to have a visionary CEO however, do they make the company and their products/services more successful? For every successful visionary CEO, there are perhaps ten failing visionary CEOs as the stock market or their customers did not catch their vision.

There is no lack of PLM vision as Peter Bilello mapped in 2014 when imagining the gaps between vision, available technology, and implementations at companies (leaders and followers). See below:

The tremendous gap between vision and implementations is the topic that concerns me the most. Modern PLM is about making data available across the enterprise or even across the company’s ecosystem. It is about data democratization that allows information to flow and to be presented in context, without the need to recreate this information again.

And here the marketing starts. Verdi writes:

PTC’s Internet of Things (IoT), Industrial Internet of Things (IIoT), digital twin and augmented reality (AR) investments, as well as the collaboration with Rockwell Automation in the factory automation arena, have definitely placed the company in a leading position in digital product realization, distribution and aftermarket services

With this marketing sentence, we are eager to learn why

“With AR, for example, we can improve the quality control of the engines,” added Volvo Group’s Bertrand Felix, during an on-stage interview by Jim Heppelmann. Heppelmann then went down to a Volvo truck with the engine lifted out of its compartment. Using a tablet, he was able to show how the software identified the individual engine, the parts that were included, and he could also pick up the 3D models of each component and at the same time check that everything was included and in the right place.

Impressive – is it real?

The point is that this is the whole chain for digital product realization–development and manufacturing–that the Volvo Group has chosen to focus on. Sub-components have been set up that will build the chain, much is still in the pilot stage, and a lot remains to be done. But there is a plan, and the steps forward are imminent.

OK, so it is a pilot, and a lot remains to be done – but there is a plan. I am curious about the details of that plan, as a little later, we learn from the CAD story:

The Pro/ENGINEER “inheritor” Creo (engine, chassis) is mainly used for CAD and creation of digital twins, but as previously noted, Dassault Systémes’ CATIA is also still used. Just as in many other large industrial organizations, Autodesk’s AutoCAD is also represented for simpler design solutions.

There goes the efficient digital dream. Design data coming from CATIA needs to be recreated in Creo for digital twin support. Data conversion or recreation is an expensive exercise and needs to be reliable and affordable as the value of the digital twin is gone once the data is incorrect.

In a digital enterprise, you do not want silos to work with their own formats, you want a digital thread based on (neutral) models that share metadata/parameters from design to service.

So I dropped the article and noticed Oleg had already commented faster than me in his post: Does PLM industry need a visionary pageant? Oleg refers also to CIMdata, as they confirmed in 2018 that the concept of a platform for product innovation (PIP), or the beyond PLM is far from reality in companies. Most of the time, a PLM-implementation is mainly a beyond PDM environment, not really delivering product data downstream.

I am wholly aligned with Oleg’s  technical conclusion:

What is my(Oleg’s) conclusion? PLM industry doesn’t need another round of visionary pageants. I’d call democratization, downstream usage and openness as biggest challenges and opportunities in PLM applications. Recent decades of platform development demonstrated the important role network platforms played in the development of global systems and services. PLM paradigm change from isolated vertical platforms to open network services required to bring PLM to the next level. Just my thoughts..

My comments to Oleg’s post:

(Jos) I fully agree we do not need more visionary PLM pageants. It is not about technology and therefore I have to disagree with your point about Aras. You call it democratization and openness of data a crucial point – and here I agree – be it that we probably disagree about how to reach this – through standards or through more technology. My main point to be made (this post ) is that we need visionary companies that implement and rethink their processes and are willing to invest resources in that effort. Most digital transformation projects related to PLM fail because the existing status quo/ middle management has no incentive to change. More thoughts to come

And this the central part of my argumentation – it is not about technology (only).

Organizational structures are blocking digital transformation

Since 2014 I have been following several larger manufacturing companies on their path from pushing products to the market in a linear mode towards a customer-driven, more agile, fast responding enterprise. As this is done by taking benefit of digital technologies, we call this process: digital transformation.

(image depicting GE’s digital thread)

What I have learned from these larger enterprises, and both Volvo Trucks and GE as examples, that there is a vision for an end result. For GE, it is the virtual twin of their engines monitored and improved by their Predix platform. For Volvo Trucks, we saw the vision in the quote from Verdi’s article before.

However, these companies are failing in creating a horizontal mindset inside their companies. Data can only be efficient used downstream if there is a willingness to work on collecting the relevant data upstream and delivering this information in an accessible format, preferably data-driven.

The Middle Management Dilemma

And this leads to my reference to middle management. Middle managers learn about the C-level vision and are pushed to make this vision happen. However, they are measured and driven to solve these demands, mainly within their own division or discipline. Yes, they might create goodwill for others, but when it comes to money spent or changing people responsibilities, the status quo will remain.

I wrote about this challenge in The Middle Management dilemma. Digital transformation, of course, is enabled by digital technologies, but it does not mean the technology is creating the transformation. The crucial fact lies in making companies more flexible in their operations, yet establishing better and new contacts with customers.

It is interesting to see that the future of businesses is looking into agile, multidisciplinary teams that can deliver incremental innovations to the company’s portfolio. Somehow going back to the startup culture inside a more significant enterprise. Having worked with several startups, you see the outcome-focus as a whole in the beginning – everyone contributes. Then when the size of the company grows, middle-management is introduced, and most likely silos are created as the middle management gets their own profit & loss targets.

Digital Transformation myths debunked

This week Helmut Romer (thanks Helmut) pointed me to the following HBR-article: Digital does not need to be disruptive where the following myths are debunked:

  1. Myth: Digital requires radical disruption of the value proposition.
    Reality: It usually means using digital tools to better serve the known customer need.
  2. Myth: Digital will replace physical
    Reality: It is a “both/and.”
  3. Myth: Digital involves buying start-ups.
    Reality: It involves protecting start-ups.
  4. Myth: Digital is about technology.
    Reality: It’s about the customer
  5. Myth: Digital requires overhauling legacy systems.
    Reality: It’s more often about incremental bridging.

If you want to understand these five debunked myths, take your time to read the full article, very much aligned with my argumentation, albeit it that my focus is more on the PLM domain.

Conclusions

Vendor sponsoring at Engineering.com has not improved the quality of their PLM articles and creates misleading messages. Especially as the sponsor is not mentioned, and the sponsor is selling technology – the vision gap is too big with reality to compete around a vision.

Transforming companies to take benefit of new technologies requires an end-to-end vision and mindset based on achievable, incremental learning steps. The way your middle management is managed and measured needs to be reworked as the focus is on horizontal flow and understanding of customer/market-oriented processes.

 

Three weeks ago, I closed my PLM-twisted mind for a short holiday. Meanwhile, some interesting posts appeared about the PLM journey.

  • Is it a journey?
  • Should the journey be measurable?
  • And what kind of journey could you imagine?

Together these posts formed a base for a decent discussion amongst the readers.  I like these discussions. For me, the purpose of blogging is not the same as tweeting. It is not about just making noise so others will chime in or react (tweeting), it is about sharing an opinion, and if more people are interested, the discussion can start. And a discussion is not about right or false, as many conversations happen to be nowadays, it is about learning.

Let’s start with the relevant posts.

How to measure PLM?

The initial discussion started with Oleg Shilovitsky’s post about the need to measure the value of PLM. As Oleg mentions in his comments:

“During the last decades, I learned that every company that measured what they do was winning the business and succeeded (let’s count Google, Amazon, etc ..)”

This is an interesting statement, just measure! The motto people are using for digital businesses. In particular for the fast-moving software business. Sounds great, so let’s measure PLM. What can we measure with PLM? Oleg suggests as an example:

“Let’s say before PLM implemented a specific process, sales needed 2 days to get a quote. After PLM process implementation, it is 15 min.”

So what does this result tell us? Your sales can do 64 times more sales quotes. Do we need fewer salespeople now? We do not know from this KPI what is the real value for the company. This because there are so many other dependencies related to this process, and that makes PLM different from, for example, ERP. We do not talk about optimizing a process as Oleg might suggest below:

“Some of my PLM friends like to say – PLM is a journey and not some kind of software. Well, I’m not sure to agree about “journey,” but I can take PLM as a process. A process, which includes all stages of product development, manufacturing, support, and maintenance.”

Note: I do not want to be picky on Oleg, as he is provoking us all many times with just his thoughts. Moreover, several of them are a good points for discussion. So please dive into his LinkedIn posts and follow the conversation.

In Oleg’s follow-up post on measuring the value, he continued with Can we measure the PLM-journey which summarizes the comments from the previous post with a kind of awkward conclusion:

What is my conclusion? It is a time for PLM get out of old fashion guessing and strategizing and move into digital form of thinking – calculating everything. Modern digital businesses are strongly focused on the calculation and measurement of everything. Performance of websites, metrics of application usage, user experience, efficiency, AB testing of everything. Measurement of PLM related activity sounds like no brainier decision to me. Just my thoughts…

I think all of us agree that there needs to be a kind of indicative measurement in place to justify investments in place. There must be expected benefits that solve current business problems or bottlenecks.

My points that I want to share with you are:

  • It is hard to measure non-comparable ways of working – how do you measure collaboration?
  • Do you know what to measure? – engineering/innovation is not an ERP process
  • People and culture have so much impact on the results – how do you measure your company’s capability to adapt to new ways of working?

Meanwhile, we continue our journey…

Is PLM a never-ending journey?

In the context of the discussion related to the PLM journey, I assume Chad Jackson from Lifecycle Insights added his 3 minutes of thoughts. You can watch the video here:

Vlogging seems to become more prevalent in the US. The issue for me is that vlogs only touch the surface, and they are hard to scan for interesting reusable content. Something you miss when you are an experienced speed-reader. I like written content as it is easier to pick and share relevant pieces, like what I am doing now in this post.

Chad states that as long as PLM delivers quantified value, PLM could be expanding. This sounds like a journey, and I could align here. The only additional thought I would like to add to this point is that it is not necessary expanding all the time, it is also about a continuous change in the world and therefore your organization. So instead of expanding, there might be a need to do things differently: Have you noticed PLM is changing.

Next Chad mentions organizational fatigue. I understand the point – our society and business are currently changing extremely fast, which causes people to long for the past. A typical behavior I observe everywhere: in the past, everything was better. However, if companies would go back and operate like in the past, they would be out of business. We moved from the paper drawing board to 3D CAD, managing it through PDM and PLM to remain significant. So there is always a journey.

Fatigue comes from choosing the wrong directions, having a reactive culture – instead of being inspired and motivated to reach the next stage, the current stage is causing already so much stress. Due to the reactive culture, people cannot imagine a better future – they are too busy. I believe it is about culture and inspiration that makes companies successful – not by just measuring.  For avoiding change, think about the boiling frog metaphor, and you see what I mean

 

Upgrading to PLM when PDM falls short

At the same time, Jim Brown from Tech-Clarity published a PTC-sponsored eBook: Upgrading to PLM when PDM fall short, in which as he states:

This eBook explains how to recognize that you’ve outgrown PDM and offers several options to find the data and process management capabilities your company needs, whether it’s time to find a more capable PDM or upgrade to PLM. It also provides practical advice on what to look for in a PLM solution, to ensure a successful implementation, and in a software partner.

Jim is mentioning various business drivers that can drive this upgrade path. Enlarge the image to the left. I challenge all the believers in measurable digital results to imagine which KPIs they would use and how they can be related to pure PLM.

Here the upgrade process is aiming at replacing PDM by PLM something PLM vendors like. Immediate a significant numbers of licenses for the same basic PDM functionality – for your company hard to justify there is no additional value.

In many situations, I have seen that this type of PDM upgrade projects became advanced PDM projects – not PLM. The new PLM system was introduced in the engineering department and became an even bigger silo than before as other disciplines/departments were not willing to work with this new “monster” and preferred their own system. They believe that PLM is a system to be purchased and implemented, which is killing for a real PLM strategy.

Therefore I liked Oleg Shilovitsky’s post: 3 Reasons for Not Growing Existing PDM Into the Full PLM System.  Where Oleg’s points were probably more technology-driven, the value of this post was extended in the discussion. It became a discussion where various people and different opinions which I would like to have in real-time. The way LinkedIn filters/prioritizes comments makes it hard to have a chronological view of the discussion.

Still, if you are interested and have time for a puzzle, follow this discussion and add your thoughts

Conclusion

During my holidays, there was a vivid discussion related to the PLM value and journey. Looking back, it is clear we are part of a PLM journey. Some do not take part in the journey and keep on hanging to the past, those who understand the journey are all seeing different Points Of Interests – the characteristics of a journey

This is the moment of the year, where at least in my region, most people take some time off to disconnect from their day-to-day business.  For me, it is never a full disconnect as PLM became my passion, and you should never switch off your passion.

On August 1st, 1999, I started my company TacIT, the same year the acronym PLM was born. I wanted to focus on knowledge management, therefore the name TacIT.  Being dragged into the SmarTeam world with a unique position interfacing between R&D, implementers and customers I found the unique sweet spot, helping me to see all aspects from PLM – the vendor position, the implementer’s view, the customer’s end-user, and management view.

It has been, and still, is 20 years of learning and have been sharing most in the past ten years through my blog. What I have learned is that the more you know, the more you understand that situations are not black and white. See one of my favorite blog pictures below.

So there is enough to overthink during the holidays. Some of my upcoming points:

From coordinated to connected

Instead of using the over-hyped term: Digital Transformation, I believe companies should learn to work in a connected mode, which has become the standard in our daily life. Connected means that information needs to be stored in databases somewhere, combined with openness and standards to make data accessible. For more transactional environments, like CRM, MES, and ERP, the connected mode is not new.

In the domain of product development and selling, we have still a long learning path to go as the majority of organizations is relying on documents, be it Excels, Drawings (PDF) and reports. The fact that they are stored in electronic file formats does not mean that they are accessible. There is still manpower needed to create these artifacts or to extract the required information from them.

The challenge for modern PLM is to establish new best practices around a model-based approach for systems engineering (MBSE), for engineering to manufacturing (MBD/MBE) and operations (Digital Twins). All these best practices should be generic and connected ultimately.  I wrote about these topics in the past, have a look at:

PLM Vendors are showing pieces of the puzzle, but it is up to the implementers to establish the puzzle, without knowing in detail what the end result will be. This is the same journey of Columbus. He had a boat and a target towards the unknown. He discovered a country with a small population, nowadays a country full of immigrants who call themselves natives.

However, the result was an impressive transformation.

Reading about transformation

Last year I read several books to get more insight into what motivates us, and how can we motivate people to change. In one way, it is disappointing to learn that we civilized human beings most of the time to not make rational decisions but act based on our per-historic brain.

 

Thinking, Fast and Slow from Daniel Kahneman was one of the first books in that direction as a must-read to understand our personal thinking and decision processes.

 

 

 

I read Idiot Brain: What Your Head Is Really Up To from Dean Burnett, where he explains this how our brain appears to be sabotaging our life, and what on earth it is really up to. Interesting to read but could be a little more comprehensive

 

I got more excited from Dan Ariely”s book: Predictably Irrational: The Hidden Forces That Shape Our Decisions as it was structured around topics where we handle completely irrational but predictable. And this predictability is used by people (sales/politicians/ management) to drive your actions. Useful to realize when you recognize the situation

 

These three books also illustrate the flaws of our modern time – we communicate fast (preferable through tweets) – we decide fast based on our gut feelings – so you realize towards what kind of world we are heading.  Going through a transformation should be considered as a slow, learning process. Like reading a book – it takes time to digest.

Once you are aiming at a business transformation for your company or supporting a company in its transformation, the following books were insightful:

Leading Digital: Turning Technology into Business Transformation by George Westerman, Didier Bonnet and Andrew McAfee is maybe not the most inspiring book, however as it stays close to what we experience in our day-to-day-life it is for sure a book to read to get a foundational understanding of business transformation.

 

The book I liked the most recent was Leading Transformation: How to Take Charge of Your Company’s Future by Nathan Furr, Kyle Nel, Thomas Zoega Ramsoy as it gives examples of transformation addressing parts of the irrational brain to get a transformation story. I believe in storytelling instead of business cases for transformation. I wrote about it in my blog post: PLM Measurable or a myth referring to Yuval Harari’s book Homo Sapiens

Note: I am starting my holidays now with a small basket of e-books. If you have any recommendations for books that I must read – please write them in the comments of this blog

Discussing transformation

After the summer holidays, I plan to have fruitful discussions around topics close to PLM. Working on a post and starting a conversation related to PLM, PIM, and Master Data Management. The borders between these domains are perhaps getting vaguer in a digital enterprise.

Further, I am looking forward to a discussion around the value of PLM assisting companies in developing sustainable products. A sustainable and probably circular economy is required to keep this earth a place to live for everybody. The whole discussion around climate change, however, is worrying as we should be Thinking – not fast and slow – but balanced.

A circular economy has been several times a topic during the joint CIMdata PLM Roadmap and PDT conferences, which bring me to the final point.

On 13th and 14th November this year I will participate again in the upcoming PLM Roadmap and PDT conference. This time in La Defense, Paris, France. I will share my experiences from working with companies trying to understand and implement pieces of a digital transformation related to PLM.

There will be inspiring presentations from other speakers, all working on some of the aspects of moving to facets of a connected enterprise. It is not a marketing event, it is done by professionals, serving professionals. Therefore I hope if you are passioned about the new aspects of PLM, no matter how you name label them, come and join, discuss and most of all, learn.

Conclusion

 

Modern life is about continuous learning  – make it a habit. Even a holiday is again a way to learn to disconnect.

How disconnected I was you will see after the holidays.

 

 

 

In my previous post, the PLM blame game, I briefly mentioned that there are two delivery models for PLM. One approach based on a PLM system, that contains predefined business logic and functionality, promoting to use the system as much as possible out-of-the-box (OOTB) somehow driving toward a certain rigidness or the other approach where the PLM capabilities need to be developed on top of a customizable infrastructure, providing more flexibility. I believe there has been a debate about this topic over more than 15 years without a decisive conclusion. Therefore I will take you through the pros and cons of both approaches illustrated by examples from the field.

PLM started as a toolkit

The initial cPDM/PLM systems were toolkits for several reasons. In the early days, scalable connectivity was not available or way too expensive for a standard collaboration approach. Engineering information, mostly design files, needed to be shared globally in an efficient manner, and the PLM backbone was often a centralized repository for CAD-data. Bill of Materials handling in PLM was often at a basic level, as either the ERP-system (mostly Aerospace/Defense) or home-grown developed BOM-systems(Automotive) were in place for manufacturing.

Depending on the business needs of the company, the target was too connect as much as possible engineering data sources to the PLM backbone – PLM originated from engineering and is still considered by many people as an engineering solution. For connectivity interfaces and integrations needed to be developed in a time that application integration frameworks were primitive and complicated. This made PLM implementations complex and expensive, so only the large automotive and aerospace/defense companies could afford to invest in such systems. And a lot of tuition fees spent to achieve results. Many of these environments are still operational as they became too risky to touch, as I described in my post: The PLM Migration Dilemma.

The birth of OOTB

Around the year 2000, there was the first development of OOTB PLM. There was Agile (later acquired by Oracle) focusing on the high-tech and medical industry. Instead of document management, they focused on the scenario from bringing the BOM from engineering to manufacturing based on a relatively fixed scenario – therefore fast to implement and fast to validate. The last point, in particular, is crucial in regulated medical environments.

At that time, I was working with SmarTeam on the development of templates for various industries, with a similar mindset. A predefined template would lead to faster implementations and therefore reducing the implementation costs. The challenge with SmarTeam, however, was that is was very easy to customize, based on Microsoft technology and wizards for data modeling and UI design.

This was not a benefit for OOTB-delivery as SmarTeam was implemented through Value Added Resellers, and their major revenue came from providing services to their customers. So it was easy to reprogram the concepts of the templates and use them as your unique selling points towards a customer. A similar situation is now happening with Aras – the primary implementation skills are at the implementing companies, and their revenue does not come from software (maintenance).

The result is that each implementer considers another implementer as a competitor and they are not willing to give up their IP to the software company.

SmarTeam resellers were not eager to deliver their IP back to SmarTeam to get it embedded in the product as it would reduce their unique selling points. I assume the same happens currently in the Aras channel – it might be called Open Source however probably it is only high-level infrastructure.

Around 2006 many of the main PLM-vendors had their various mid-market offerings, and I contributed at that time to the SmarTeam Engineering Express – a preconfigured solution that was rapid to implement if you wanted.

Although the SmarTeam Engineering Express was an excellent sales tool, the resellers that started to implement the software began to customize the environment as fast as possible in their own preferred manner. For two reasons: the customer most of the time had different current practices and secondly the money come from services. So why say No to a customer if you can say Yes?

OOTB and modules

Initially, for the leading PLM Vendors, their mid-market templates were not just aiming at the mid-market. All companies wanted to have a standardized PLM-system with as little as possible customizations. This meant for the PLM vendors that they had to package their functionality into modules, sometimes addressing industry-specific capabilities, sometimes areas of interfaces (CAD and ERP integrations) as a module or generic governance capabilities like portfolio management, project management, and change management.

The principles behind the modules were that they need to deliver data model capabilities combined with business logic/behavior. Otherwise, the value of the module would be not relevant. And this causes a challenge. The more business logic a module delivers, the more the company that implements the module needs to adapt to more generic practices. This requires business change management, people need to be motivated to work differently. And who is eager to make people work differently? Almost nobody,  as it is an intensive coaching job that cannot be done by the vendors (they sell software), often cannot be done by the implementers (they do not have the broad set of skills needed) or by the companies (they do not have the free resources for that). Precisely the principles behind the PLM Blame Game.

OOTB modularity advantages

The first advantage of modularity in the PLM software is that you only buy the software pieces that you really need. However, most companies do not see PLM as a journey, so they agree on a budget to start, and then every module that was not identified before becomes a cost issue. Main reason because the implementation teams focus on delivering capabilities at that stage, not at providing value-based metrics.

The second potential advantage of PLM modularity is the fact that these modules supposed to be complementary to the other modules as they should have been developed in the context of each other. In reality, this is not always the case. Yes, the modules fit nicely on a single PowerPoint slide, however, when it comes to reality, there are separate systems with a minimum of integration with the core. However, the advantage is that the PLM software provider now becomes responsible for upgradability or extendibility of the provided functionality, which is a serious point to consider.

The third advantage from the OOTB modular approach is that it forces the PLM vendor to invest in your industry and future needed capabilities, for example, digital twins, AR/VR, and model-based ways of working. Some skeptic people might say PLM vendors create problems to solve that do not exist yet, optimists might say they invest in imagining the future, which can only happen by trial-and-error. In a digital enterprise, it is: think big, start small, fail fast, and scale quickly.

OOTB modularity disadvantages

Most of the OOTB modularity disadvantages will be advantages in the toolkit approach, therefore discussed in the next paragraph. One downside from the OOTB modular approach is the disconnect between the people developing the modules and the implementers in the field. Often modules are developed based on some leading customer experiences (the big ones), where the majority of usage in the field is targeting smaller companies where people have multiple roles, the typical SMB approach. SMB implementations are often not visible at the PLM Vendor R&D level as they are hidden through the Value Added Reseller network and/or usually too small to become apparent.

Toolkit advantages

The most significant advantage of a PLM toolkit approach is that the implementation can be a journey. Starting with a clear business need, for example in modern PLM, create a digital thread and then once this is achieved dive deeper in areas of the lifecycle that require improvement. And increased functionality is only linked to the number of users, not to extra costs for a new module.

However, if the development of additional functionality becomes massive, you have the risk that low license costs are nullified by development costs.

The second advantage of a PLM toolkit approach is that the implementer and users will have a better relationship in delivering capabilities and therefore, a higher chance of acceptance. The implementer builds what the customer is asking for.

However, as Henry Ford said, if I would ask my customers what they wanted, they would ask for faster horses.

Toolkit considerations

There are several points where a PLM toolkit can be an advantage but also a disadvantage, very much depending on various characteristics of your company and your implementation team. Let’s review some of them:

Innovative: a toolkit does not provide an innovative way of working immediately. The toolkit can have an infrastructure to deliver innovative capabilities, even as small demonstrations, the implementation, and methodology to implement this innovative way of working needs to come from either your company’s resources or your implementer’s skills.

Uniqueness: with a toolkit approach, you can build a unique PLM infrastructure that makes you more competitive than the other. Don’t share your IP and best practices to be more competitive. This approach can be valid if you truly have a competing plan here. Otherwise, the risk might be you are creating a legacy for your company that will slow you down later in time.

Performance: this is a crucial topic if you want to scale your solution to the enterprise level. I spent a lot of time in the past analyzing and supporting SmarTeam implementers and template developers on their journey to optimize their solutions. Choosing the right algorithms, the right data modeling choices are crucial.

Sometimes I came into a situation where the customer blamed SmarTeam because customizations were possible – you can read about this example in an old LinkedIn post: the importance of a PLM data model

Experience: When you plan to implement PLM “big” with a toolkit approach, experience becomes crucial as initial design decisions and scope are significant for future extensions and maintainability. Beautiful implementations can become a burden after five years as design decisions were not documented or analyzed. Having experience or an experienced partner/coach can help you in these situations. In general, it is sporadic for a company to have internally experienced PLM implementers as it is not their core business to implement PLM. Experienced PLM implementers vary from size and skills – make the right choice.

 

Conclusion

After writing this post, I still cannot write a final verdict from my side what is the best approach. Personally, I like the PLM toolkit approach as I have been working in the PLM domain for twenty years seeing and experiencing good and best practices. The OOTB-box approach represents many of these best practices and therefore are a safe path to follow. The undecisive points are who are the people involved and what is your business model. It needs to be an end-to-end coherent approach, no matter which option you choose.

 

 

 

After my previous post about the PLM migration dilemma, I had several discussions with peers in the field why these PLM bad news are creating so much debate. For every PLM vendor, I can publish a failure story if I want. However, the reality is that the majority of PLM implementations do not fail.

Yes, they can cause discomfort or friction in an organization as implementing the tools often forces people to work differently.  And often working differently is not anticipated by the (middle) management and causes, therefore, a mismatch for the people, process & tools paradigm.

So we love bad news in real life. We talk about terrorism while meanwhile, a large number of people are dying through guns, cars, and even the biggest killer mosquitos. Fear stories sell better than success stories, and in particular, in the world of PLM Vendors, every failure of the competition is enlarged.  However, there are more actors involved in a PLM implementation, and if PLM systems would be that bad, they would not exist anymore and replace by ………?

Who to blame – the vendor?

Of course, it is the easiest way to blame the vendor as their marketing is promising to solve all problems. However, when you look from a distance to the traditional PLM vendor community, you see they are in a rat-race to deliver the latest and greatest technology ahead of their competition, often driven by some significant customers.

Their customers are buying the vision and expect it to be ready and industrialized, which is not the case – look at the digital twin hype or AI (Artificial Intelligence).  Released PLM software is not at the same maturity compared to office applications. Office applications do not innovate so much and have thousands of users during a beta-cycle and no dependency on processes.

Most PLM vendors are happy when a few customers jump on their latest release, combined with the fact that implementations of the most recent version are not yet a push on the button.  This might change in the long term if PLM Vendors can deliver cloud-based solutions.

PLM implementations within the same industry might look the same but often vary a lot due to existing practices, which will not change due to the tool – so there is a need for customization or configuration.

PLM systems with strong business rules inside their core might more and more develop towards configuration, where PLM toolkit-like systems might focus on ease of customization. Both approaches have their pro’s and con’s (in another blog post perhaps).

Another topic to blame the vendor is lack of openness.  You hear it in many discussions. If vendor X were open, they would not lock the data – a typical marketing slogan. If PLM vendors would be completely open, to which standards should they adhere?  Every PLM has its preferred collection of tools together – if you stay within their portfolio you have a minimum of compatibility or interface issues.

This logic started already with SAP in the previous century. For PLM vendors, there is no business model for openness. For example, the SmarTeam APIs for connecting and extracting data are available free of charge, leading to no revenue for the vendor and significant revenue for service providers. Without any license costs, they can build any type of interface/solution. In the end, when the PLM vendor has no sustainable revenue, the vendor will disappear as we have seen between 2000 and 2010, where several stand-alone PLM systems disappeared.

So yes, we can blame PLM vendors for their impossible expectations – coming to realistic expectations related to capabilities and openness is probably the biggest challenge.

Who to blame – the implementer?

The second partner in a PLM implementation is the implementation partner, often a specialized company related to the PLM vendor. There are two types of implementation partners – the strategic partners and the system integrators.

Let’s see where we can blame them.

Strategic partners, the consultancy firms,  often have a good relationship with the management, they help the company to shape the future strategy, including PLM. You can blame this type of company for their lack of connection to the actual business. What is the impact on the organization to implement a specific strategy, and what does this mean for current or future PLM?

Strategic partners should be the partner to support business change management as they are likely to have experience with other companies. Unfortunate, this type of companies does not have significant skills in PLM as the PLM domain is just a small subset of the whole potential business strategy.

You can blame them that they are useful in building a vision/strategy but fail to create a consistent connection to the field.

Implementation partners, the system integrators, are most of the times specialized in one or two PLM vendor’s software suites, although the smaller the implementation partner, the less broad their implementation skills. These implementation partners sometimes have built their own PLM best practices for a specific vendor and use this as a sales argument. Others just follow blindly what the vendor is promoting or what the customer is asking for.

They will do anything you request, as long as they get paid for it. The larger ones have loads of resources for offshore deliveries – the challenge you see here is that it might look cheap; however, it becomes expensive if there is no apparent convergence of the deliverables.

As I mentioned before they will never say No to a customer and claim to fill all the “gaps,” there are in the PLM environment.

You can blame implementation partners that their focus is on making money from services. And they are right, to remain in business your company needs to be profitable. It is like lawyers; they will invoice you based on their efforts. And the less you take on your plate, the more they will do for you.

The challenge for both consultancy partners as system integrators is to find a balance between experienced people, who really make it happen and educating juniors to become experts too. Often the customer pays for the education of these juniors

Who to blame – your company?

If your company is implementing PLM, then probably the perception is that that you made all the effort to make it successful.  You followed the advice of the strategic consultants, you selected the best PLM Vendor and system integrator, you created a budget – so what could go wrong?

This all depends on your company’s ambition and scope for PLM.

Implementing the as-is processes

If your PLM implementation is just there to automate existing practices and store data in a central location, this might work out. And this is most of the time when PLM implementations are successful. You know what to expect, and your system integrator knows what to expect.

This type of project can run close to budget, and some system integrators might be tempted to offer a fixed price. I am not a fan of fixed priced projects as you never know exactly what needs to be done. The system integrator might raise the target price with 20 – 40 % to cover their risk or you as a company might select the cheapest bid – another guarantee for failure. A PLM implementation is not a one-time project, it is an on-going journey. Therefore your choice needs to be sustainable.

My experience with this type of implementations is that it easy to blame the companies here too. Often the implementation becomes an IT-project, as business people are too busy to run their day-to-day jobs, therefore they only incidentally support the PLM project. The result is that at a specific moment, users confronted with the system feel not connected to the new system – it was better in the past. In particular, configuration management and change processes can become waterproof, leaving no freedom for the users. Then the blaming starts – first the software then the implementer.

But what if you have an ambitious PLM project as part of a business transformation?

In that case, the PLM platform is just one of the elements to consider. It will be the enabler for new ways of working, enabling customer-centric processes, multi-discipline collaboration, and more. All related to a digital transformation of the enterprise. Therefore, I mention PLM platform instead of PLM system. Future enterprises run on data through connected platforms. The better you can connect your disciplines, the more efficient and faster your company will operate. This, as opposed to the coordinated approach, which I have been addressing several times in the past.

A business transformation is a combination of end-to-end understanding of what to change – from management vision connected to the execution in the field. And as there is not an out-of-the-box template for business transformation, it is crucial a company experiments, evaluates and when successful, scales up new habits.

Therefore, it is hard to define upfront all the effort for the PLM platform and the implementation resources. What is sure is that your company is responsible for that, not an external part. So if it fails, your company is to blame.

Is everyone to blame?

You might have the feeling that everyone is to blame when a PLM implementation fails. I believe that is indeed the case. If you know in advance where all players have their strengths and weaknesses, a PLM implementation should not fail, but be balanced with the right resources. Depending on the scope of your PLM implementation, is it a consolidation or a transformation, you should take care of all stakeholders are participating in the anti-blame game.

The anti-blame game is an exercise where you make sure that the other parties in the game cannot blame you.

  • If you are a vendor – do not over commit
  • If you are a consultant or system integrator – learn to say NO
  • If you are the customer – make sure enough resources are assigned – you own the project. It is your project/transformation.

This has been several times my job in the past, where I was asked to mediate in a stalling PLM implementation. Most of the time at that time it was a blame game, missing the target to find a solution that makes sense. Here coaching from experienced PLM consultants makes sense.

 

Conclusion

Most of the time, PLM implementations are successful if the scope is well understood and not transformative. You will not hear a lot about these projects in the news as we like bad news.

To avoid bad news challenging PLM implementations should make sure all parties involved are challenging the others to remain realistic and invest enough. The role of an experienced external coach can help here.

 

 

I am writing this post during the Easter weekend in the Netherlands. Easter / Passover / Pascha / are religious festivities that happen around this time, depending on full moons, etc. I am not the expert here, however, what I like about Easter is that is it is an optimistic religious celebration, connecting history, the “dark days,” and the celebration of new life.

Of course, my PLM-twisted brain never stops associating and looking into an analogy, I saw last week a LinkedIn post from Mark Reisig, about Aras ACE 2019 opening with the following statement:

Digital Transformation – it used to be called PLM,” said Aras CEO Peter Schroer, as he opened the conference with some thoughts around attaining sustainable Digital Transformation and owning the lifecycle.

Was this my Easter Egg surprise? I thought we were in the middle of the PLM Renaissance as some other vendors and consultants talk about this era. Have a look at a recent Engineering.com TV-report: Turning PLM on its head

All jokes aside, the speech from Peter Schroer contained some interesting statements and I want to elaborate on them in this post as the space to comment in LinkedIn is not designed for a long answer.

PLM is Digital Transformation?

In the past few years, there has been a discussion if the acronym PLM (Product Lifecycle Management) is perhaps outdated. PTC claimed thanks to IoT (Internet of Things) now PLM equals IoT, as you can read in  Mark Taber’s 2018 guest article in Digital Engineering: IoT Equals PLM.
Note: Mark is PTC’s vice president of marketing and go-to-market marketing according to the bio at the bottom of the article. So a lot of marketing words, which  strengthens the believers of the old world, that everything new is probably marketing.

Also during the PDT conferences, we discussed if PLM should be replaced by a new acronym and I participated in that discussion too – my Nov 2018 postWill MBSE be the new PLM instead of IoT? is a reflection of my thoughts at that time.

For me, Digital Transformation is a metamorphosis from a document-driven, sequential processes towards data-driven, iterative processes. The metamorphosis example used a lot at this moment, is the one from Caterpillar towards the Butterfly. This process is not easy when it comes to PLM-related information, as I described in my PI PLMx 2019 London Presentation and blog post: The Challenges of a Connected Ecosystem for PLM. The question is even: Will there be a full metamorphosis at the end or will we keep on working in two different modes of operations?

However, Digital Transformation does not change the PLM domain. Even after a successful digital transformation, there will be PLM. The only significant difference in the future – PLM boarders will not be so evident anymore when implementing capabilities in a system or a platform. The upcoming of digital platforms will dissolve or fade the traditional PLM-mapped capabilities.

You can see these differences already by taking an in-depth look at how Oracle, SAP or Propel address PLM. Each of them starts from a core platform with different PLM-flavored extensions, sometimes very different from the traditional PLM Vendors. So Digital transformation is not the replacement of PLM.

Back to Peter Schroer’s rebuttal of some myths. Note: DX stands for Digital Transformation

Myth #1: DX leverages disruptive tech

Peter Schroer:

 It’s easy to get excited about AI, AR, and the 3D visual experience. However, let’s be real. The first step is to get rid of your spreadsheets and paper documentation – to get an accurate product data baseline. We’re not just talking a digital CAD model, but data that includes access to performance data, as-built parts, and previous maintenance work history for everyone from technicians to product managers

Here I am fully aligned with Peter. There are a lot of fancy features discussed by marketing teams, however, when working in the field with companies, the main challenge is to get an organization digital aligned, sharing data accessible along the whole lifecycle with the right quality.

This means you need to have a management team, understanding the need for data governance, data quality and understanding the shift from data ownership to data accountability.  This will only happen with the right mix of vision, strategy and the execution of the strategy – marketing does not make it happen

 

Myth #2: DX results in increased market share, revenue, and profit

Peter Schroer:

Though there’s a lot of talk about it – there isn’t yet any compelling data which proves this to be true. Our goal at Aras is to make our products safer and faster. To support a whole suite of industrial applications to extend your DX strategy quite a bit further.

Here I agree and disagree, depending on the context of this statement. Some companies have gone through a digital transformation and therefore increased their market share, revenue, and profit. If you read books like Leading Transformation or Leading Digital, you will find examples of companies that have gone through successful digital transformations. However, you might also discover that most of these companies haven’t transformed their PLM-domain, but other parts of their businesses.

Also, it is interesting to read a 2017 McKinsey post: The case for digital reinvention, where you will get the confirmation that a lot of digital initiatives did not bring more top-line revenue and most of the times lead to extra costs. Interesting to see where companies focus their digital strategies – picture below:

Where only 2 percent of the respondents were focusing on supply chains, this is, according to the authors of the article, one of the areas with the highest potential ROI. And digital supply chains are closely related to modern PLM – so this is an area with enough work to do by all PLM practitioners– connecting ecosystems (in real-time)

Myth #3: Market leaders are the most successful at DX

Peter Schroer:

If your company is hugely profitable at the moment, it’s highly likely that your organization is NOT focused on Digital Transformation. The lifespan of S&P 500 companies continuing to shrink below 20 years.

How to Attain Sustainable Digital Transformation

– Stop buying disposable systems. It’s about an adaptable platform – it needs to change as your company changes.

– Think incremental. Do not lose momentum. Continuous change is a multi-phase journey. If you are in or completed phase I, then that means there is a phase II, a phase III, and so on.

– Align people & processes.  Mistakes will happen, “the tech side is only 50% of DX” – Aras CEO.

Here I agree with Peter on the business side, be it that some of the current market leaders are already digital. Look at Apple, Google, and Amazon. However, the majority of large enterprises have severe problems with various aspects of a digital transformation as the started in the past before digital technologies became affordable..

Digitization allows information to flow without barriers within an organization, leading to rapid insights and almost direct communication with your customers, your supply chain or other divisions within your company. This drives the need to learn and build new, lean processes and get people aligned to them. Learning to work in a different mode.

And this is extremely difficult for a market leader – as market leader fear for the outside changing world is often not felt. Between the C-level vision and people working in the company, there are several layers of middle management. These layers were created to structure and stabilize the old ways of working.

I wrote about the middle management challenge in my last blog post: The Middle Management dilemma. Almost in the same week there was an article from McKinsey: How companies can help midlevel managers navigate agile transformations.
Conclusion: It is not (only) about technology as some of the tech geeks may think.

Conclusion

Behind the myths addressed by Peter Schroer, there is a complex transformation on-going. Probably not a metamorphosis. With the Easter spirit in mind connected to PLM, I believe digital transformations are possible – Not as a miracle but driven by insights into all aspects. I hope this post gave you some more ideas and please read the connected articles – they are quite relevant if you want to discover what’s below the surface.

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