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It has been busy recently in the context of the PLM Global Green Alliances (PGGA) series: PLM and Sustainability, where we interview PLM-related software vendors, discussing their sustainability mission and offering.
We talked with SAP, Autodesk, and Dassault Systèmes and last week with Sustaira. Now the discussion was with the team from Aras. Aras is known as a non-traditional PLM player, having the following slogan on their website:
It is a great opening statement for our discussion. Let’s discover more.
Aras
The discussion was with Patrick Willemsen, Director of Technical Community EMEA and Matthias Fohrer, Director of Global Alliances EMEA at Aras. It was an interesting interview; as we discussed, Aras focuses on the digital thread, connecting data from all sources with an infrastructure designed to support a company in its PLM domain.
As I mentioned in a previous blog post, PLM and Sustainability – if we want to work efficiently on Sustainability, we need to have a data-driven and connected infrastructure.
And this made this discussion interesting to follow– please look/listen to the 30 minutes conversation below.
Slides shown during the interview and additional company information can be found HERE.
What we have learned
There were several interesting points in our discussion where we were aligned; first of all, the sustainable value of bringing your solutions to the cloud.
So we discussed the topic of Sustainability and the cloud, and it was interesting to read this week McKinsey’s post The green IT revolution: A blueprint for CIOs to combat climate change containing this quote:
“Moving to the cloud has more impact than optimizing data centers”– the article is quite applicable for Aras.
Next, I liked the message that it is all about collaboration between different parties.
As Matthias mentioned, nobody can do it on their own. According to Aras’ studies, 70% see Sustainability as an important area to improve themselves; nobody can do it on his own. Partnerships are crucial, as well as digital connections between the stakeholders. It is a plea for systems thinking in a connected manner, connecting to existing material libraries.
The third point we were aligned with is that PLM and Sustainability are a learning journey. As Patrick explained, it is about embracing the circular economy and learning step by step.
<– Click on the image to enlarge.
Want to learn more?
Aras has published several white papers and surveys and hosted webinars related to Sustainability. Here are a few of them:
Aras Survey Challenges 2022: From Sustainability to Digitalization
White Paper: The Circular Economy as a Model for the Future
Webinar: Greener Business, PLM, Traceability, and Beyond
Webinar: How PLM Paves the Way for Sustainability
Blog: The Circular Economy as a Model for the Future
Conclusions
It is clear that Aras provides an infrastructure for a connected enterprise. They combine digital PLM capabilities with the option to extend their reach by supporting sustainability-related processes, like systems thinking and lifecycle assessments. And as they mention, no one can do it alone; we depend on collaboration and learning for all stakeholders.
On more week to go – join us if you can – click here
The summer holidays are over, and with the PLM Global Green Alliance, we are glad to continue with our series: PLM and Sustainability, where we interview PLM-related software vendors, talking about their sustainability mission and offering.
We talked with SAP, Autodesk, and Dassault Systèmes. This week we spoke with Sustaira, and soon we will talk with Aras. Sustaira, an independent Siemens partner, is the provider of a sustainability platform based on Mendix.
SUSTAIRA
The interview with Vincent de la Mar, founder and CEO of Sustaira, was quite different from the previous interviews. In the earlier interviews, we talked with people driving sustainability in their company and software portfolio. Now with Sustaira, we were talking with a relatively new company with a single focus on sustainability.
Sustaira provides an open platform targeting purely sustainability by offering relevant apps and infrastructure based on Mendix.
Listen to the interview and discover the differences and the potential for you.
Slides shown during the interview and additional company information: Sustaira Overview 2022.
What we have learned
Using the proven technology of the Mendix platform allows you to build a data-driven platform focused on sustainability for your company.
As I wrote in my post: PLM and Sustainability, there is the need to be data-driven and connected with federated data sources for accurate data.
This is a technology challenge. Sustaira, as a young company, has taken up this challenge and provides various apps related to sustainability topics on its platform. Still, they remain adaptable to your organization.
Secondly, I like the concept that although Mendix is part of the Siemens portfolio, you do not need to have Siemens PLM installed. The openness of the Sustaira platform allows you to implement it in your organization independent of your PLM infrastructure.
The final observation – the rule of people, process, and technology – is still valid. To implement Sustaira in an efficient and valuable manner, you need to be clear in your objectives and sustainability targets within the organization. And these targets should be more detailed than the corporate statement in the annual report.
Want to Learn more
To learn more about Sustaira and the wide variety of offerings, you can explore any of these helpful links:
- First, here is a short video introducing Sustaira
- With this link, anyone can sign up for the free version of the Sustaira platform and begin exploring today!
- Lastly, for additional information, demos, downloadable content, and more, head over to the Sustiara Content Hub.
Conclusion
It was interesting to learn about Sustaira and how they started with a proven technology platform (Mendix) to build their sustainability platform. Being sustainable involves using trusted data and calculations to understand the environmental impact at every lifecycle stage.
Again we can state that the technology is there. Now it is up to companies to act and connect the relevant data sources to underpin and improve their sustainability efforts.
As human beings, we believe in the truth. We claim the truth. During my holiday in Greece, the question was, did the Greek Prime Minister tell the truth about the internal spy scandal?
In general, we can say, politicians never speak the real truth, and some countries are trying to make sure there is only one single source of truth – their truth. The concept of a Single Source Of Truth (SSOT) is difficult to maintain in politics.
On social media, Twitter and Facebook, people are claiming their truth. But unfortunately, without any scientific background, people know better than professionals by cherry-picking messages, statistics or even claiming non-existing facts.
Nicely described in The Dunning-Kruger effect. Unfortunately, this trend will not disappear.
If you want to learn more about the impact of social media, read this long article from The Atlantic: Why the Past 10 Years of American Life Have Been Uniquely Stupid. Although the article is about the US, the content is valid for all countries where social media are still allowed.
The PLM and CM domain is the only place where people still rely on the truth defined by professionals. Manufacturing companies depend on reliable information to design, validate, manufacture and support their products. Compliance and safe products require an accurate and stable product definition based on approved information. Therefore, the concept of SSOT is crucial along the product lifecycle.
The importance may vary depending on the product type. The difference in complexity between an airplane and a plastic toy, for example. It is all about the risk and impact of a failure caused by the product.
During my holiday, the SSOT discussion was sparked on LinkedIn by Adam Keating, and the article starts with:
The “Single Source of Truth (SSOT)” wasn’t built for you. It was built for software vendors to get rich. Not a single company in the world has a proper SSOT.
A bit provocative, as there is nothing wrong with software vendors being profitable. Profitability guarantees the long-time support of the software solution. Remember the PLM consolidation around 2006, when SmarTeam, Matrix One (Dassault), Agile and Eigner & Partner (Oracle) were acquired, disappeared or switched to maintenance mode.
Therefore it makes sense to have a profitable business model or perhaps a real open source business model.
Still, the rest of the discussion was interesting, particularly in the LinkedIn comments. Adam mentioned the Authoritative Source of Truth (ASOT) as the new future. And although this concept becomes more and more visible in the PLM domain, I believe we need both. So, let’s have a look at these concepts.
Truth 1.0 – SSOT
Historically, manufacturing companies stored the truth in documents, first paper-based, later in electronic file formats and databases.
The truth consists of drawings, part lists, specifications, and other types of information.
Moreover, the information is labeled with revisions and versions to identify the information.
By keeping track of the related information through documents or part lists with significant numbers, a person in the company could find the correct corresponding information at any stage of the lifecycle.
Later, by storing all the information in a central (PLM) system, the impression might be created that this system is the Single Source Of Truth. The system Adam Keating agitated against in his LinkedIn post.
Although for many companies, the ERP has been the SSOT (and still is). All relevant engineering information was copied into the ERP system as attached files. Documents are the authoritative, legal pieces of information that a company shares with suppliers, authorities, or customers. They can reside in PLM but also in ERP. Therefore, you need an infrastructure to manage the “truth.”
Note: The Truth 1.0 story is very much a hardware story.
Even for hardware, ensuring a consistent single version of the truth for each product remains difficult. In theory, its design specifications should match the manufacturing definition. The reality, however, shows that often this is not the case. Issues discovered during the manufacturing process are fixed in the plant – redlining the drawing – is not always processed by engineering.
As a result, Engineering and Manufacturing might have a different version of what they consider the truth.
The challenge for a service engineer in the field is often to discover the real truth. So the “truth” might not always be in the expected place – no guaranteed Single Source Of Truth.
Configuration Management is a discipline connected to PLM to ensure that the truth is managed so that as-specified, as-manufactured, and as-delivered information has been labeled and documented unambiguously. In other words, you could say Configuration Management(CM) is aiming for the Single Source Of Truth for a product.
If you want to read more about the relation between PLM and CM – read this post: PLM and Configuration Management (CM), where I speak with Martijn Dullaart about the association between PLM and CM.
Martijn has his blog mdux.net and is the Lead Architect for Enterprise Configuration Management at our Dutch pride ASML. Martijn is also Chairperson I4.0 Committee IPX Congress.
Summarizing: The Single Source Of Truth 1.0 concept is document-based and should rely on CM practices, which require skilled people and the right methodology. In addition, some industries require Truth 1.0.
Others take the risk of working without solid CM practices, and the PLM system might create the impression of the SSOT; it will not be the case, even for only hardware.
Truth 2.0 – ASOT
Products have become more complex, mainly due to the combination of electronics and software. Their different lifecycles and the speed of change are hard to maintain using the traditional PLM approach of SSOT.
It will be impossible to maintain an SSOT, particularly if it is based on documents.
As CM is the discipline to ensure data consistency, it is important to look into the future of CM. At the end of last year, I discussed this topic with 3 CM thought leaders. Martijn Dullaart, Maxime Gravel and Lisa Fenwick discussed with me what they believe the change would be. Read and listen here: The future of Configuration Management.
From the discussion, it became clear that managing all the details is impossible; still, you need an overreaching baseline to identify the severity and impact of a change along the product lifecycle.
New methodologies can be developed for this, as reliable data can be used in algorithms to analyze a change impact. This brings us to the digital thread. According to the CIMdata definition used in the A&D digital twin phase 2 position paper:
The digital thread provides the ability for a business to have an Authoritative Source of Truth(ASOT), which is information available and connected in a core set of the enterprise systems across the lifecycle and supplier networks
The definition implies that, in the end, a decision is made on data from the most reliable, connected source. There might be different data in other locations. However, this information is less reliable. Updating or fixing this information does not make sense as the effort and cost of fixing will be too expensive and give no benefit.
Obviously, we need reliable data to implement the various types of digital twins.
As I am intrigued by the power of the brain – its strengths and weaknesses – the concept of ASOT can also be found in our brains. Daniel Kahneman’s book, Thinking Fast and Slow talks about the two systems/modes our brain uses. The Fast one (System 1 – low energy usage) could be the imaginary SSOT, whereas the Slow one (System 2 – high energy required) is the ASOT. The brain needs both, and I believe this is the same in our PLM domain.
A new PLM Paradigm
In this context, there is a vivid discussion about the System of Record and Systems of Engagement. I wrote about it in June (post: A new PLM paradigm); other authors name it differently, but all express a similar concept. Have a look at these recent articles and statements from:
| Author | Link to content |
|
Authentise
|
The challenge of cross-discipline collaboration ……. |
|
Beyond PLM
|
When is the right time to change your PLM system + discussion |
|
Colab
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The Single Source Of Truth wasn’t built for you ……. |
|
Fraunhofer institute
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Killing the PLM Monolith – the Emergence of cloud-native System Lifecycle Management (SysLM) |
|
SAAB Group
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Don’t mix the tenses. Managing the Present and the Future in an MBSE context |
|
Yousef Hooshmand
|
From a Monolithic PLM Landscape to a Federated Domain and Data Mesh |
If you want to learn more about these concepts and discuss them with some of the experts in this domain, come to the upcoming PLM Roadmap PTD Europe conference on 18-19 October in Gothenburg, Sweden. Have a look at the final agenda here
Register before September 12 to benefit from a 15 % Early Bird discount, which you can spend for the dinner after day 1. I look forward to discussing the SSOT/ASOT topics there.
Conclusion
The Single Source Of Truth (SSOT) and the Authoritative Source of Truth (ASOT) are terms that illustrate the traditional PLM paradigm is changing thanks to digitization and connected stakeholders. The change is in the air. Now, the experience has to come. So be part of the change and discuss with us.
As I promised I would be enjoying my holidays in the upcoming month there as still a few points I want to share with you.
Not a real blog post, more an agenda and a set of questions for potential follow-up.
Here are five topics for the upcoming months, potentially also relevant and interesting for you. Have a look.
Peer Check
This week the discussion I had with Adam Keating, Colab’s CEO and founder, was published on their podcast channel, Peer Check. As I slowly discovered the content, I mentioned their podcast in my last blog post. I was impressed by the first episodes I could listen to and listened to all of them last week.
Digesting the content from these episodes, I have the impression that we are following Adam’s or Collab’s lifecycle. From understanding the market, the people, and the industry towards the real collaboration topics, like MBD, their product offering and ultimately the connection with PLM. I am curious about what is next.
For me discovering their podcast and being able to participate was an exciting and learning moment. I am still waiting for the readers of this blog to mention their favorite podcasts.
Let us know in the comments.
PLM Global Green Alliance
With the PLM Global Green Alliance (PGGA), we plan to have monthly ZOOM discussions with our LinkedIn members, moderated by one of the PGGA core team members.
The idea of these sessions is that we pick a topic, the moderator sets the scene and then it is up to the members to discuss.
Participants can ask questions and bring in their points. In our understanding, many companies believe they have to do something about sustainability beyond writing it in their mission, but where and how to start?
So the PGGA discussion will be a place to get inspired and act.
Potential topics for the discussion are: What technologies must I master to become more sustainable? How can I motivate my company to become real sustainable? What is a lifecycle assessment (LCA), and how to introduce it in my company? What is the circular economy, and what is needed to become more circular in the context of PLM?
If you like one of the topics, let us know in the comments or add your favorite discussion topic. More on the agenda in early September
PGGA meets ….
In this series with PLM vendors and solution providers, we try to understand their sustainability drivers, their solutions, their roadmap and their perception of what is happening in the field. So far, SAP, Autodesk and Dassault Systèmes have contributed to these series. After the summer, we continue with two interviews:
Early in September, the PGGA will discuss sustainability with Sustaira. Sustaira is a Siemens partner, and they offer an all-in-one Sustainability platform, domain-specific Sustainability app templates, and custom Sustainability web and mobile initiatives. Expect the interview to be published early in September.
In the last week of September, the PGGA will have a meeting with Aras in our series related to sustainability. Aras is one of the main PLM providers and we will discuss sustainability even more with them as you can read further on in this agenda. Expect the interview to be released by the end of September.
No actions here for you, just stay tuned in September with the PGGA.
CIMdata PLM Roadmap and PDT
On 18 and 19 October, the CIMdata PLM Road Map and PDT 2022 Conference is scheduled as an in-person event in Gothenburg.
The agenda is almost secured and can be found here.
It will be a conference with guidance from CIMdata and Eurostep completed with major Aerospace, Defense and Automotive companies sharing their experience towards a model-based and digital enterprise.
So no marketing but real content; however, there will also be forward-looking presentations related to new PLM paradigms and the relation to data and sustainability.
So if you are curious, come to his conference as you will be triply rewarded: by the content, the keynotes and discussions with your peers.
Register before September 12 to benefit from a 15 % Early Bird discount, which you can spend for the dinner after day 1. The conference dinner has always been a good moment for networking and discussion.
A Sustainable Future – Seize Opportunities When Someone Else Sees Costs
Last part of this agenda.
On October 25th, I will participate as a PGGA member in a webinar with Aras, discussing sustainability in more depth compared to our earlier mentioned standard PGGA interview.
Here I will be joined by Patrick Willemsen from Aras. Patrick is the technical director of the Aras EMEA community, and together we will explore how companies aiming to deliver profitable products and solutions also can contribute to a more sustainable future for our planet.
Feel free to subscribe to this free webinar and discuss your thoughts with us in the Q&A session – here is the registration link.
Conclusion
No conclusion this time – all thinking is in progress and I hope to see your feedback or contribution to one of these events in person or through social media.
July and August are the quiet summer months here in Europe when companies slow down to allow people to recharge themselves.
However, the speed and hectic are not the same overall, nor is the recharging time. I will be entering a six-week thinking break, assembling thoughts to explore after the summer break. Here are some topics – and you may note – they are all connected.
The MBOM discussion
Although my German is not as good as my English, I got intrigued by a post from Prof. Dr. Jörg W. Fischer.
He claims there is no meaning to the MBOM and, therefore, the “expensive” PLM concept of the MBOM has to disappear – read the original post here.
Jörg claims there are three reasons why the MBOM why we should not speak about the MBOM – here are the google translated quotes – and I left out some details to keep a place for the thoughts – not the answer yet:
- The MBOM as the structure for deriving the assembly drawings. No BOM! (here, I fully agree)
- The structure that comes out as a result when planning the assembly. Again, no BOM. (here, I tend to agree – however, we could extend this structure to an MBOM)
- The MBOM as the classic parts list in the ERP, the one with which the MRP run is performed. Is that an MBOM? Until recently, I thought so. But it isn’t. So again, no MBOM. (here, I tend to agree – however, we could extend this structure to an MBOM)
The topic on LinkedIn here initiated an interesting sharing of viewpoints. I am quite aligned with Martin Eigner’s comment. It is a pity that this type of discussion is hidden in a LinkedIn environment and in the German language. It would be great to discuss such a topic at a PLM conference. For example, the CIMdata PLM roadmap conference had several Multiview BOM discussions coming from Aerospace and Defense action groups.
Perhaps comparing these two viewpoints – preferably in English – could lead to a better understanding for all of us. Now communication language and system dependencies might blur the methodology discussion.
Cheryl Peck (CIMdata PLM Roadmap organizer)/ Jörg W. Fischer, are you open to this suggestion? BOM discussions have always been popular.
PLM Roadmap & PDT 2022
The good news is the upcoming PLM Roadmap & PDT 2022 event is scheduled as an in-person event on the 18th and 19th of October in Gothenburg, Sweden. Let’s hope no new corona-variant will destroy this plan. I am confident to be there as the Swedish COVID-19 approach has kept society open as much as possible.
Therefore, I am collecting my topics to discuss and preparing my luggage and presentation to be there.
The theme of the conference: Digital Transformation and PLM – a call for PLM Professionals to redefine and re-position the benefits and value of PLM, is close to my experience.
New PLM paradigms are coming up, while at the same time, we are working on solidifying existing concepts, like the Multiview BOM. The PDT part of the conference always brought interesting sessions related to sustainability and, often, the circular economy.
I am curious to see the final agenda. Hakan Karden already gave us some insights into why it is good to be curious – read it here.
Sustainability
Talking and learning about sustainability at PDT Europe is not a luxury. In particular, we experienced an unforeseen heatwave in western Europe, reminding us that the climate is not slowing down. More the contrary, rapid climate change caused by human influence becomes more and more visible.
Unfortunately, the people that suffer from droughts, bushfires, and famine are not the ones that can be held responsible for these effects. It is a global crisis, and the strongest shoulders must carry the weight to address these issues.
In that context, we had an internal meeting with the PLM Global Green Alliance core team members to plan our activities for the rest of the year.
Besides interviews with PLM vendors and technology solution providers, we want to create opportunities for PGGA members to discuss PLM technology, methodology or change topics of interest, moderated by one of our core team members.
One of our observations is that awareness of the need for a more sustainable society exists. In polls all around the world, the majority of people mention their concerns.
However, where to start? What does matter, and how to influence companies as individuals? We also need to learn what is real and what is greenwashing. Therefore we want to schedule open discussions with PGGA members (are you already a member?) to share knowledge and thoughts about a topic. More about the agenda after the summer break.
Discussions & Podcasts
While I remain open for discussions and those who contacted me with a direct message on LinkedIn will acknowledge there is always a follow-up.
Whenever I have time – most of the time, I target Fridays for ad-hoc discussions – I am happy to schedule a zoom session to learn and discuss a particular topic without obligations. It will be a discussion, not a consult.
During Covid-lockdowns, I learned to appreciate podcasts. While making the daily walk through the same environment, the entertainment came from listening to an interesting podcast.
I learned a lot about history, mysteries, and human behavior. Of course, I was also looking for PLM-related podcasts. Of course, the major vendors found their way to podcasts too. However, I think they are often too slick, only highlighting a vision and not enough discussing what really happens in the field.
Starting a PLM-related podcast, and I want to highlight three of them
The Share PLM podcast, with 11 episodes, started promising in 2020. After a first start, it becomes difficult to deliver continuous new content.
Currently, I am talking with the Share PLM team to see how we can build this continuity and extend the content. There are so many interesting persons in our network that have valuable opinions about PLM to share. More after the summer
The Peer Check podcast from CoLab is not a typical PLM podcast. More a focus on what engineering leaders should know. They started in 2022 and have already published ten episodes. I am in the process of listening to all of them, and I found them very refreshing.
This week I was happy to join Adam Keating, founder of CoLab, in a discussion related to Systems of Record and Systems of Engagement. More new after the summer.
The Change Troubleshooter podcast from Nina Dar, with already 34 episodes, is a podcast not focusing on PLM purely. Although Nina has a background in coaching PLM implementations, her episodes are around A Human Approach to Innovation and Change. You can imagine it is quite aligned with my area of interest.
In particular, Nina and I are having some side discussions about sustainability and (the lack of) human behavior to address climate change. You might hear more from Nina through our PGGA community.
More podcasts?
I am curious to learn if similar podcasts exist to the topics I mentioned in this post. If so, provide a link in the comments. With enough feedback, I will publish a top-ten list this year’s end.
Conclusion
In a society that seems to behave as if everything is black and white, to be solved by a tweet, we need people that can build a colorful opinion. Conferences, discussions and podcasts can help you remain curious and learn. As it must be extremely boring if you know already everything.
Have a great summertime.
In the last weeks, I had several discussions related to sustainability. What can companies do to become sustainable and prove it? But, unfortunately, there is so much greenwashing at this moment.
Look at this post: 10 Companies and Corporations Called Out For Greenwashing.
Therefore I thought about which practical steps a company should take to prepare for a sustainable future, as the change will not happen overnight. It reminds me of the path towards a digital, model-based enterprise (my other passion). In my post Why Model-Based definition is important for all, I mentioned that MBD (Model-Based Definition) could be considered the first stepping-stone toward a Model-Based enterprise.
The analogy for Material Compliance came after an Aras seminar I watched a month ago. The webinar How PLM Paves the Way for Sustainability with Insensia (an Aras implementer) demonstrates how material compliance is the first step toward sustainable product development.
Let’s understand why
The first steps
Companies that currently deliver solutions mostly only focus on economic gains. The projects or products they sell need to be profitable and competitive, which makes sense if you want a future.
And this would not have changed if the awareness of climate impact has not become apparent.
First, CFKs and hazardous materials lead to new regulations. Next global agreements to fight climate change – the Paris agreement and more to come – have led and will lead to regulations that will change how products will be developed. All companies will have to change their product development and delivery models when it becomes a global mandate.
A required change is likely going to happen. In Europe, the Green Deal is making stable progress. However, what will happen in the US will be a mystery as even their supreme court becomes a political entity against sustainability (money first).
Still, compliance with regulations will be required if a company wants to operate in a global market.
What is Material Compliance?
In 2002, the European Union published a directive to restrict hazardous substances in materials. The directive, known as RoHS (Restriction of Hazardous Substances), was mainly related to electronic components. In the first directive, six hazardous materials were restricted.
The most infamous are Cadmium(Cd), Lead(Pb), and Mercury (Hg). In 2006 all products on the EU market must pass RoHS compliance, and in 2011 was now connected the CE marking of products sold in the European market was.
In 2015 four additional chemical substances were added, most softening PVC but also affecting the immune system. Meanwhile, other countries have introduced similar RoHS regulations; therefore, we can see it as a global restricting. Read more here: The RoHS guide.
Consumers buying RoHS-compliant products now can be assured that none of the threshold values of the substances is reached in the product. The challenge for the manufacturer is to go through each of the components of the MBOM. To understand if it contains one of the ten restricted substances and, if yes, in which quantity.
Therefore, they need to get that information from each relevant supplier a RoHS declaration.
Besides RoHS, additional regulations protect the environment and the consumer. For example, REACH (Registration, Evaluation, Authorization and Restriction of Chemicals) compliance deals with the regulations created to improve the environment and protect human health. In addition, REACH addresses the risks associated with chemicals and promotes alternative methods for the hazard assessment of substances.
The compliance process in four steps
Material compliance is most of all the job of engineers. Therefore around 2005, some of my customers started to add RoHS support to their PLM environment.
Step 1
The image below shows the simple implementation – the PDF-from from the supplier was linked to the (M)BOM part.
An employee had to manually add the substances into a table and ensure the threshold values were not reached. But, of course, there was already a selection of preferred manufacturer parts during the engineering phase. Therefore RoHS compliance was almost guaranteed when releasing the EBOM.
But this process could be done more cleverly.
Step 2
So the next step was that manufacturers started to extend their PLM data model with the additional attributes for RoHS compliance. Again, this could be done cleverly or extremely generic, adding the attributes to all parts.
So now, when receiving the material declaration, a person just has to add the substance values to the part attributes. Then, through either standard functionality or customization, a compliance report could be generated for the (M)BOM. So this already saves some work.
Step 3
The next step was to provide direct access to these attributes to the supplier and push the supplier to do the work.
Now the overhead for the manufacturer has been reduced again. This is because only the supplier needs to do the job for his customer.
Step 4
In step 4, we see a real connected environment, where information is stored only once, referenced by manufacturers, and kept actual by the part suppliers.
Who will host the RoHS databank? From some of my customer projects, I recall IHS as a data provider – it seems they are into this business when you look at their website HERE.
Where is your company at this moment?
Having seen the four stepping-stones leading towards efficient RoHS compliance, you see the challenge of moving from a document-driven approach to a data-driven approach.
Now let’s look into the future. Concepts like Life Cycle Assessment (LCA) or a Digital Product Passport (DPP) will require a fully connected approach.
Where is your company at this moment – have you reached RoHS compliance step 3 or 4? A first step to learn and work connected and data-driven.
Life Cycle Assessment – the ultimate target
A lifecycle assessment, or lifecycle analysis (two times LCA again), is a methodology to assess the environmental impact of a product (or solution) through its whole lifecycle. From materials sourcing, manufacturing, transportation, usage, service, and decommissioning. And by assessing, we mean a clear, verifiable, and shareable manner, not just guessing.
Traditional engineering education is not bringing these skills, although LCA is not new, as this 10-years old YouTube movie from Autodesk illustrates:
What is new is that due to global understanding, we are reaching the limits of what our planet can endure; we must act now. Upcoming international regulations will enforce life cycle analysis reporting for manufacturers or service providers. This will happen gradually.
Meanwhile, we all should work on a circular economy, the major framework for a sustainable planet- click on the image on the left.
In my post, I wrote about these combined topics: SYSTEMS THINKING – a must-have skill in the 21st century.
Life Cycle Analysis – Digital Twin – Digitization
The big elephant in the room is that when we talk about introducing LCA in your company, it has a lot to do with the digitization of your company. Assessment data in a document can require too much human effort to maintain the data at the right quality. The costs are not affordable if your competitor is more efficient.
When coming to the Analysis part, here, a model-based, data-driven infrastructure is the most efficient way to run virtual analysis, using digital twin concepts at each stage of the product lifecycle.
Virtual models for design, manufacturing and operations allow your company to make trade-off studies with low cost before committing to the physical world. 80 % of the environmental impact of a product comes from decisions in the virtual world.
Once you have your digital twins for each phase of the product lifecycle, you can benchmark your models with data reported from the physical world. All these interactions can be found in the beautiful Boeing diamond below, which I discussed before – Read A digital twin for everybody.
Conclusion
Efficient and sustainable life cycle assessment and analysis will come from connected information sources. The old document-driven paradigm is too costly and too slow to maintain. In particular, when the scope is not only a subset of your product, it is your full product and its full lifecycle with LCA. Another stepping stone towards the near future. Where are you?
Stepping-stone 1: From Model-Based Definition to an efficient Model-Based, Data-driven Enterprise
Stepping-stone 2: For RoHS compliance to an efficient and sustainable Model-Based, data-driven enterprise.
A 
month ago, I wrote: It is time for BLM – PLM is not dead, which created an anticipated discussion. It is practically impossible to change a framed acronym. Like CRM and ERP, the term PLM is there to stay.
However, it was also interesting to see that people acknowledge that PLM should have a business scope and deserves a place at the board level.
The importance of PLM at business level is well illustrated by the discussion related to this LinkedIn post from Matthias Ahrens referring to the CIMdata roadmap conference CEO discussion.
My favorite quote:
Now it’s ‘lifecycle management,’ not just EDM or PDM or whatever they call it. Lifecycle management is no longer just about coming up with new stuff. We’re seeing more excitement and passion in our customers, and I think this is why.”
But it is not that simple
This is a perfect message for PLM vendors to justify their broad portfolio. However, as they do not focus so much on new methodologies and organizational change, their messages remain at the marketing level.
In the field, there is more and more awareness that PLM has a dual role. Just when I planned to write a post on this topic, Adam Keating, CEO en founder of CoLab, wrote the post System of Record meet System of Engagement.
Read the post and the comments on LinkedIn. Adam points to PLM as a System of Engagement, meaning an environment where the actual work is done all the time. The challenge I see for CoLab, like other modern platforms, e.g., OpenBOM, is how it can become an established solution within an organization. Their challenge is they are positioned in the engineering scope.
I believe for these solutions to become established in a broader customer base, we must realize that there is a need for a System of Record AND System(s) of Engagement.
In my discussions related to digital transformation in the PLM domain, I addressed them as separate, incompatible environments.
See the image below:
Now let’s have a closer look at both of them
What is a System of Record?
For me, PLM has always been the System of Record for product information. In the coordinated manner, engineers were working in their own systems. At a certain moment in the process, they needed to publish shareable information, a document(e.g., PDF) or BOM-table (e.g., Excel). The PLM system would support New Product Introduction processes, Release and Change Processes and the PLM system would be the single point of reference for product data.
The reason I use the bin-image is that companies, most of the time, do not have an advanced information-sharing policy. If the information is in the bin, the experts will find it. Others might recreate the same information elsewhere, due to a lack of awareness.
Most of the time, engineers did not like PLM systems caused by integrations with their tools. Suddenly they were losing a lot of freedom due to check-in / check-out / naming conventions/attributes and more. Current PLM systems are good for a relatively stable product, but what happens when the product has a lot of parallel iterations (hardware & software, for example). How to deal with Work In Progress?
Last week I visited the startup company PAL-V in the context of the Dutch PDM Platform. As you can see from the image, PAL-V is working on the world’s first Flying Car Production Model. Their challenge is to be certified for flying (here, the focus is on the design) and to be certified for driving (here, the focus is on manufacturing reliability/quality).
During the PDM platform session, they showed their current Windchill implementation, which focused on managing and providing evidence for certification. For this type of company, the System of Record is crucial.
Their (mainly) SolidWorks users are trained to work in a controlled environment. The Aerospace and Automotive industries have started this way, which we can see reflected in current PLM systems.
Image: Aras impression of the digital thread
And to finish with a PLM buzzword: modern systems of record provide a digital thread.
What is a System of Engagement?
The characteristic of a system of engagement is that it supports the user in real-time. This could be an environment for work in progress. Still, more importantly, all future concepts from MBSE, Industry 4.0 and Digital Twins rely on connected and real-time data.
As I previously mentioned, Digital Twins do not run on documents; they run on reliable data.
A system of engagement is an environment where different disciplines work together, using models and datasets. I described such an environment in my series The road to model-based and connected PLM. The System of Engagement environment must be user-friendly enough for these experts to work.
Due to the different targets of a system engagement, I believe we have to talk about Systems of Engagement as there will be several engagement models on a connected (federated) set of data.
Yousef Hooshmand shared the Daimler paper: “From a Monolithic PLM Landscape to a Federated Domain and Data Mesh” in that context. Highly recommended to read if you are interested in a potential PLM future infrastructure.
Let’s look at two typical Systems of Engagement without going into depth.
The MBSE System of Engagement
In this environment, systems engineering is performed in a connected manner, building connected artifacts that should be available in real-time, allowing engineers to perform analysis and simulations to construct the optimal virtual solution before committing to physical solutions.
It is an iterative environment. Click on the image for an impression.
The MBSE space will also be the place where sustainability needs to start. Environmental impact, the planet as a stakeholder, should be added to the engineering process. Life Cycle Assessment (LCA) defining the process and material choices will be fed by external data sources, for example, managed by ecoinvent, Higg and others to come. It is a new emergent market.
The Digital Twin
In any phase of the product lifecycle, we can consider a digital twin, a virtual data-driven environment to analyze, define and optimize a product or a process. For example, we can have a digital twin for manufacturing, fulfilling the Industry 4.0 dreams.
We can have a digital twin for operation, analyzing, monitoring and optimizing a physical product in the field. These digital twins will only work if they use connected and federated data from multiple sources. Otherwise, the operating costs for such a digital twin will be too high (due to the inefficiency of accurate data)
In the end, you would like to have these digital twins running in a connected manner. To visualize the high-level concept, I like Boeing’s diamond presented by Don Farr at the PDT conference in 2018 – Image below:
Combined with the Daimler paper “From a Monolithic PLM Landscape to a Federated Domain and Data Mesh.” or the latest post from Oleg Shilovistky How PLM Can Build Ontologies? we can start to imagine a Systems of Engagement infrastructure.
You need both
And now the unwanted message for companies – you need both: a system of record and potential one or more systems of engagement. A System of Record will remain as long as we are not all connected in a blockchain manner. So we will keep producing reports, certificates and baselines to share information with others.
It looks like the Gartner bimodal approach.
An example: If you manage your product requirements in your PLM system as connected objects to your product portfolio, you will and still can generate a product specification document to share with a supplier, a development partner or a certification company.
So do not throw away your current System of Record. Instead, imagine which types of Systems of Engagement your company needs. Most Systems of Engagement might look like a siloed solution; however, remember they are designed for the real-time collaboration of a certain community – designers, engineers, operators, etc.
The real challenge will be connecting them efficiently with your System of Record backbone, which is preferable to using standard interface protocols and standards.
The Hybrid Approach
For those of you following my digital transformation story related to PLM, this is the point where the McKinsey report from 2017 becomes actual again.
Conclusion
The concepts are evolving and maturing for a digital enterprise using a System of Record and one or more Systems of Engagement. Early adopters are now needed to demonstrate these concepts to agree on standards and solution-specific needs. It is time to experiment (fast). Where are you in this process of learning?
While preparing my presentation for the Dutch Model-Based Definition solutions event, I had some reflections and experiences discussing Model-Based Definition. Particularly in traditional industries. In the Aerospace & Defense, and Automotive industry, Model-Based Definition has become the standard. However, other industries have big challenges in adopting this approach. In this post, I want to share my observations and bring clarifications about the importance.
What is a Model-Based Definition?
The Wiki-definition for Model-Based Definition is not bad:
Model-based definition (MBD), sometimes called digital product definition (DPD), is the practice of using 3D models (such as solid models, 3D PMI and associated metadata) within 3D CAD software to define (provide specifications for) individual components and product assemblies. The types of information included are geometric dimensioning and tolerancing (GD&T), component level materials, assembly level bills of materials, engineering configurations, design intent, etc.
By contrast, other methodologies have historically required the accompanying use of 2D engineering drawings to provide such details.
When I started to write about Model-Based definition in 2016, the concept of a connected enterprise was not discussed. MBD mainly enhanced data sharing between engineering, manufacturing, and suppliers at that time. The 3D PMI is a data package for information exchange between these stakeholders.
The main difference is that the 3D Model is the main information carrier, connected to 2D manufacturing views and other relevant data, all connected in this package.
MBD – the benefits
There is no need to write a blog post related to the benefits of MBD. With some research, you find enough reasons. The most important benefits of MBD are:
- the information is and human-readable and machine-readable. Allowing the implementation of Smart Manufacturing / Industry 4.0 concepts
- the information relies on processes and data and is no longer dependent on human interpretation. This leads to better quality and error-fixing late in the process.
- MBD information is a building block for the digital enterprise. If you cannot master this concept, forget the benefits of MBSE and Virtual Twins. These concepts don’t run on documents.
To help you discover the benefits of MBD described by others – have a look here:
- What is MBD, and what are its benefits?
- MBD Efficiencies for Small Manufacturers
- 5 reasons to use MBD
- 10 reasons why everyone is moving away from traditional 2D drawings
MBD as a stepping stone to the future
When you are able to implement model-based definition practices in your organization and connect with your eco-system, you are learning what it means to work in a connected matter. Where the scope is limited, you already discover that working in a connected manner is not the same as mandating everyone to work with the same systems or tools. Instead, it is about new ways of working (skills & people), combined with exchange standards (which to follow).
Where MBD is part of the bigger model-based enterprise, the same principles apply for connecting upstream information (Model-Based Systems Engineering) and downstream information(IoT-based operation and service models).
Oleg Shilovitsky addresses the same need from a data point of view in his recent blog: PLM Strategy For Post COVID Time. He makes an important point about the Digital Thread:
Digital Thread is one of my favorite topics because it is leading directly to the topic of connected data and services in global manufacturing networks.
I agree with that statement as the digital thread is like MBD, another steppingstone to organize information in a connected manner, even beyond the scope of engineering-manufacturing interaction. However, Digital Thread is an intermediate step toward a full data-driven and model-based enterprise.
To master all these new ways is working, it is crucial for the management of manufacturing companies, both OEM and their suppliers, to initiate learning programs. Not as a Proof of Concept but as a real-life, growing activity.
Why MBD is not yet a common practice?
If you look at the success of MBD in Aerospace & Defense and Automotive, one of the main reasons was the push from the OEMs to align their suppliers. They even dictated CAD systems and versions to enable smooth and efficient collaboration.
In other industries, there we not so many giant OEMs that could dictate their supply chain. Often also, the OEM was not even ready for MBD. Therefore, the excuse was often we cannot push our suppliers to work different, let’s remain working as best as possible (the old way and some automation)
Besides the technical changes, MBD also had a business impact. Where the traditional 2D-Drawing was the contractual and leading information carrier, now the annotated 3D Model has to become the contractual agreement. This is much more complex than browsing through (paper) documents; now, you need an application to open up the content and select the right view(s) or datasets.
In the interaction between engineering and manufacturing, you could hear statements like:
you can use the 3D Model for your NC programming, but be aware the 2D drawing is leading. We cannot guarantee consistency between them.
In particular, this is a business change affecting the relationship between an OEM and its suppliers. And we know business changes do not happen overnight.
Smaller suppliers might even refuse to work on a Model-Based definition, as it is considered an extra overhead they do not benefit from.
In particular, when working with various OEMs that might have their own preferred MBD package content based on their preferred usage. There are standards; however, OEMs often push for their preferred proprietary format.
It is about an orchestrated change.
Implementing MBD in your company, like PLM, is challenging because people need to be aligned and trained on new ways of working. In particular, this creates resistance at the end-user level.
Similar to the introduction of mainstream CAD (AutoCAD in the eighties) and mainstream 3D CAD (Solidworks in the late nineties), it requires new processes, trained people, and matching tools.
I am aware of learning materials coming from the US, not so much about European or Asian thought leaders. Feel free to add other relevant resources for the readers in this post’s comments. Have a look and talk with:
Action Engineering with their OSCAR initiative: Bringing MBD Within Reach. I spoke with Jennifer Herron, founder of Action Engineering, a year ago about MBD and OSCAR in my blog post: PLM and Model-Based Definition.
Another interesting company to follow is Capvidia. Read their blog post to start with is MBD model-based definition in the 21st century.
The future
What you will discover from these two companies is that they focus on the connected flow of information between companies while anticipating that each stakeholder might have their preferred (traditional) PLM environment. It is about data federation.
The future of a connected enterprise is even more complex. So I was excited to see and download Yousef Hooshmand’s paper: ”From a Monolithic PLM Landscape to a Federated Domain and Data Mesh”.
Yousef and some of his colleagues report about their PLM modernization project @Mercedes-Benz AG, aiming at transforming a monolithic PLM landscape into a federated Domain and Data Mesh.
This paper provides a lot of structured thinking related to the concepts I try to explain to my audience in everyday language. See my The road to model-based and connected PLM thoughts.
This paper has much more depth and is a must-read and must-discuss writing for those interested – perhaps an opportunity for new startups and a threat to traditional PLM vendors.
Conclusion
Vellum drawings are almost gone now – we have electronic 2D Drawings. The model-based definition has confirmed the benefits of improving the interaction between engineering, manufacturing & suppliers. Still, many industries are struggling with this approach due to process & people changes needed. If you are not able or willing to implement a model-based definition approach, be worried about the future. The eco-systems will only run efficiently (and survive) when their information exchange is based on data and models. Start learning now.
p.s. just out of curiosity:
If you are model-based advocate support this post with a 
Once and a while, the discussion pops up if, given the changes in technology and business scope, we still should talk about PLM. John Stark and others have been making a point that PLM should become a profession.
In a way, I like the vagueness of the definition and the fact that the PLM profession is not written in stone. There is an ongoing change, and who wants to be certified for the past or framed to the past?
However, most people, particularly at the C-level, consider PLM as something complex, costly, and related to engineering. Partly this had to do with the early introduction of PLM, which was a little more advanced than PDM.
The focus and capabilities made engineering teams happy by giving them more access to their data. But unfortunately, that did not work, as engineers are not looking for more control.
Old (current) PLM
Therefore, I would like to suggest that when we talk about PLM, we frame it as Product Lifecycle Data Management (the definition). A PLM infrastructure or system should be considered the System of Record, ensuring product data is archived to be used for manufacturing, service, and proving compliance with regulations.
In a modern way, the digital thread results from building such an infrastructure with related artifacts. The digital thread is somehow a slow-moving environment, connecting the various as-xxx structures (As-Designed, As-Planned, As-Manufactured, etc.). Looking at the different PLM vendor images, Aras example above, I consider the digital thread a fancy name for traceability.
I discussed the topic of Digital Thread in 2018: Document Management or Digital Thread. One of the observations was that few people talk about the quality of the relations when providing traceability between artifacts.
The quality of traceability is relevant for traditional Configuration Management (CM). Traditional CM has been framed, like PLM, to be engineering-centric.
Both PLM and CM need to become enterprise activities – perhaps unified.
Read my blog post and see the discussion with Martijn Dullaart, Lisa Fenwick and Maxim Gravel when discussing the future of Configuration Management.
New digital PLM
In my posts, I talked about modern PLM. I described it as data-driven, often in relation to a model-based approach. And as a result of the data-driven approach, a digital PLM environment could be connected to processes outside the engineering domain. I wrote a series of posts related to the potential of such a new PLM infrastructure (The road to model-based and connected PLM)
Digital PLM, if implemented correctly, could serve people along the full product lifecycle, from marketing/portfolio management until service and, if relevant, decommissioning). The bigger challenge is even connecting eco-systems to the same infrastructure, in particular suppliers & partners but also customers. This is the new platform paradigm.
Some years ago, people stated IoT is the new PLM (IoT is the new PLM – PTC 2017). Or MBSE is the foundation for a new PLM (Will MBSE be the new PLM instead of IoT? A discussion @ PLM Roadmap conference 2018).
Even Digital Transformation was mentioned at that time. I don’t believe Digital Transformation is pointing to a domain, more to an ongoing process that most companies have t go through. And because it is so commonly used, it becomes too vague for the specifics of our domain. I liked Monica Schnitger‘s LinkedIn post: Digital Transformation? Let’s talk. There is enough to talk about; we have to learn and be more specific.
What is the difference?
The challenge is that we need more in-depth thinking about what a “digital transformed” company would look like. What would impact their business, their IT infrastructure, and their organization and people? As I discussed with Oleg Shilovitsky, a data-driven approach does not necessarily mean simplification.
I just finished recording a podcast with Nina Dar while writing this post. She is even more than me, active in the domain of PLM and strategic leadership toward a digital and sustainable future. You can find the pre-announcement of our podcast here (it was great fun to talk), and I will share the result later here too.
What is clear to me is that a new future data-driven environment becomes like a System of Engagement. You can simulate assumptions and verify and qualify trade-offs in real-time in this environment. And not only product behavior, but you can also simulate and analyze behaviors all along the lifecycle, supporting business decisions.
This is where I position the digital twin. Modern PLM infrastructures are in real-time connected to the business. Still, PLM will have its system of record needs; however, the real value will come from the real-time collaboration.
The traditional PLM consultant should transform into a business consultant, understanding technology. Historically this was the opposite, creating friction in companies.
Starting from the business needs
In my interactions with customers, the focus is no longer on traditional PLM; we discuss business scenarios where the company will benefit from a data-driven approach. You will not obtain significant benefits if you just implement your serial processes again in a digital PLM infrastructure.
Efficiency gains are often single digit, where new ways of working can result in double-digit benefits or new opportunities.
Besides traditional pressure on companies to remain competitive, there is now a new additional driver that I have been discussing in my previous post, the Innovation Dilemma. To survive on our planet, we and therefore also companies, need to switch to sustainable products and business models.
This is a push for innovation; however, it requires a coordinated, end-to-end change within companies.
Be the change
Interesting to read is this article from Jan Bosch that I read this morning: Resistance to Change. Read the article as it makes so much sense, but we need more than sense – we need people to get involved. My favorite quote from the article:
“The reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable man”.
Conclusion
PLM consultants should retrain themselves in System Thinking and start from the business. PLM technology alone is no longer enough to support companies in their (digital/sustainable) transformation. Therefore, I would like to introduce BLM (Business Lifecycle Management) as the new TLA.
However, BLM has been already framed as Black Lives Matter. I agree with that, extending it to ALM (All Lives Matter).
What do you think should we leave the comfortable term PLM behind us for a new frame?
In February, the PLM Global Green Alliance published our first interview discussing the relationship between PLM and Sustainability with the main vendors. We talked with Darren West from SAP.
You can find the interview here: PLM and Sustainability: talking with SAP. We spoke with Darren about SAP’s Responsible Design and Production module, allowing companies to understand their environmental and economic impact by calculating fees and taxes and implement measures to reduce regulatory costs. The high reliance on accurate data was one of the topics in our discussion.
In March, we interviewed Zoé Bezpalko and Jon den Hartog from Autodesk. Besides Autodesk’s impressive sustainability program, we discussed Autodesk’s BIM technology helping the construction industry to become greener and their Generative Design solution to support the designer in making better material usage or reuse decisions.
The discussion ended with discussing Life Cycle Assessment tools to support the engineer in making sustainable decisions.
In my last blog post, the Innovation Dilemma, I explored the challenges of a Life Cycle Assessment. As it appears, it is not about just installing a tool. The concepts of a data-driven PLM infrastructure and digital twins are strong transformation prerequisites combined with the Inner Development Goals (IDG).
The IDGs are a human attitude needed besides the Sustainability Development Goals.
Therefore we were happy to discuss last week with Florence Verzelen, Executive Vice President Industry, Marketing & Sustainability and Xavier Adam, Worldwide Sustainability Senior Manager from Dassault Systemes. We discussed Dassault Systemes’ business sustainability goals and product offerings based on the 3DEXPERIENCE platform.
Have a look at the discussion below:
The slides shown in the recording can be found HERE.
What I learned
Dassault Systemes’ purpose has been to help their customers imagine sustainable innovations capable of harmonizing product, nature, and life for many years. A statement that now is slowly bubbling up in other companies too. Dassault Systemes has set a clear and interesting target for themselves in 2025. In that year two/thirds of their sales should come from solutions that make their customers more sustainable.
Their Eco-design solution is one of the first offerings to reach this objective. Their Life Cycle Assessment solution can govern your (virtual) product design on multiple criteria, not only greenhouse gas emissions. It will be interesting to follow up on this topic to see how companies make the change internally by relying on data and virtual twins of a product or a manufacturing process.
Want to learn more?
- Our Sustainability Commitment
- Unleashing Sustainable Innovation (a page full of resources)
- Virtual Twin Experiences
- Life Cycle Assessment Solution on the 3DEXPERIENCE Platform to Transform the Sustainable Innovation Process
Conclusion
80 % of the environmental impact of products is decided during the design phase. A Lifecycle Assessment Solutions combined with a virtual product model, the virtual design twin, allows you to decide on trade-offs in the virtual space before committing to the physical solution. Creating a data-driven, closed-loop between design, engineering, manufacturing and operations based on accurate data is the envisioned infrastructure for a sustainable future.
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