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In this post, I want to explain why Model-Based Systems Engineering (MBSE) and Sustainability are closely connected. I would claim sustainability in our PLM domain will depend on MBSE.
Can we achieve Sustainability without MBSE? Yes, but it will be costly and slow. And as all businesses want to be efficient and agile, they should consider MBSE.
What is MBSE?
The abbreviation MBSE stands for Model-Based Systems Engineering, a specialized manner to perform Systems Engineering. Look at the Wikipedia definition in short:
MBSE is a technical approach to systems engineering that focuses on creating and exploiting domain models as the primary means of information exchange rather than on document-based information exchange.
Model-Based fits in the digital transformation scope of PLM – from a document-based approach to a data-driven, model-based one. In 2018, I focused on facets of the model-based enterprise and related to MBSE in this post: Model-Based: System Engineering (MBSE).
My conclusion in that post was:
Model-Based Systems Engineering might have been considered as a discipline for the automotive and aerospace industry only. As products become more and more complex, thanks to IoT-based applications and software, companies should consider evaluating the value of model-based systems engineering for their products/systems.
I drew this conclusion before I focused on sustainability and systems thinking. Implementing sustainability concepts, like the Circular Economy, require more complex engineering efforts, justifying a Model-Based Systems Engineering approach. Let’s have a look.
If you want to learn more about why we need MBSE, look at this excellent keynote speech lecture from Zhang Xin Guo at the Incose 2018 conference below:
The Mission / the stakeholders
A company might deliver products to the market with the best price/quality ratio and regulatory compliance, perceived and checked by the market. This approach is purely focusing on economic parameters.
There is no need for a system engineering approach as the complexity is manageable. The mission is more linear, a “job to do,” and a limited number of stakeholders are involved in this process.
… with sustainability
Once we start to include sustainability in our product’s mission, we need a systems engineering approach, as several factors will push for different considerations. The most obvious considerations are the choice of materials and the optimizing the production process (reducing carbon emissions).
However, the repairability/serviceability of the product should be considered with a more extended lifetime vision.
What about upgradeability and reusing components? Will the customer pay for these extra sustainable benefits?
Probably Yes, when your customer has a long-term vision, as the overall lifecycle costs of the product will be lower.
Probably No if none of your competitors delivers non-sustainable products much cheaper.
As long as regulations will not hurt traditional business models, there might be no significant change.
However, the change has already started. Higher energy prices will impact the production of specific resources and raise costs. In addition, energy-intensive manufacturing processes will lead to more expensive materials. Combined with raising carbon taxes, this will be a significant driver for companies to reconsider their product offering and manufacturing processes.
The more expensive it becomes to create new products, the more attractive repairable and upgradable products will become. And this brings us to the concept of the circular economy, which is one of the pillars of sustainability.
In short, looking at the diagram – the vertical flow from renewables and finite materials from part to product to product in service leads ultimately to wasted resources if there are no feedback loops. This is the traditional product delivery process that most companies are using.
You can click on the image to the left to zoom in on the details.
The renewable loop on the left side of the diagram is the usage of renewables during production and the use of the product. The more we use renewables instead of fossil fuels, the more sustainable this loop will be. This is the area where engineers should use simulations to find the optimal manufacturing processes and product behavior. Again click on the image to zoom in on the details.
The right side of the loop, related to the materials, is where we see the options for repairable, serviceable, upgradeable, and even further refurbishment and recycling to avoid leakage of precious materials. This is where mechanical engineers should dominate the activities. Focussing on each of the loops and how to enable them in the product. Click on the image to see the relevant loops.
Looking at the circular economy diagram, it is clear that we are no longer talking about a linear process – it has become the implementation of a system. Systems Engineering or MBSE?
The benefits of MBSE
Developing products with the circular economy in mind is no longer a “job to do,” a simple linear exercise. Instead, if we walk down the systems engineering V-shape, there are a lot of modeling exercises to perform before we reach the final solution.
To illustrate the benefits of MBSE, let’s walk through the following scenario.
A well-known company sells lighting projects for stadiums and public infrastructure. Their current business model is based on reliable lighting equipment with a competitive price and range of products.
Most of the time, their contracts have clauses about performance/cost and maintenance. The company sells the products when they win the deal and deliver spare parts when needed.
Their current product design is quite linear – without systems engineering.
Now this company has decided to change its business model towards Product As A Service, or in their terminology LaaS (Lightening as a Service). For a certain amount per month, they will provide lighting to their customers, a stadium, a city, and a road infrastructure.
To implement this business model, this is how they used a Model-Based Systems Engineering approach.
Modeling the Mission
Example of a business model
Before even delivering any products, the process starts with describing and analyzing the business model needed for Lightening as a Service.
Then, with modeling estimates about the material costs, there are exercises about the resources required to maintain the service, the potential market, and the possible price range.
It is the first step of using a model to define the mission of the service. After that, the model can be updated, adjusted, and used for a better go-to-market approach when the solution becomes more mature.
Part of the business modeling is also the intention to deliver serviceable and upgradeable products. As the company now owns the entire lifecycle, this is the cheapest way to guarantee a continuous or improved service over time.
Modeling the Functions
Example of a function diagram
Providing Lighting as a Service also means you must be in touch with your installations in real time. Power consumption needs to be measured and analyzed in real-time for (predictive) maintenance, and the light-providing service should be as cheap as possible during operation.
Therefore LED technology is the most reliable, and connectivity functions need to be implemented in the solution. The functional design ensures installation, maintenance and service can be done in a connected manner (cheapest in operation – beneficial for the business).
Modeling the Logical components
As an owner of the solution, the design of the logical components of the lighting solution is also crucial. How to address various lighting demands efficiently? Modularity is one of the first topics to address. With modular components, it is possible to build customer-specific solutions with a reduced engineering effort. However, the work needs to be done by generically designing the solutions and focusing on the interfaces.
Example of a logical diagram
Such a design starts with a logical process and flow diagrams combined with behavior modeling. Without already having a physical definition, we can analyze the components’ behavior within an electrical scheme. Decisions on whether specific scenarios will be covered by hardware or software can be analyzed here. The company can define the lower-level requirements for the physical component by using virtual trade-offs on the logical models.
At this stage, we have used business modeling, functional modeling and logical modeling to understand our solution’s behavior.
Modeling the Physical product
The final stage of the solution design is to implement the logical components into a physical solution. The placement of components and interfaces between the components becomes essential. For the physical design, there are still a lot of sustainability requirements to verify:
- Repairability and serviceability – are the components reachable and replaceable? Reducing the lifecycle costs of the solution
- Upgradeability – are there components that can behave differently due to software choices, or are there components that can be replaced with improved functionality. Reducing the cost of creating entirely new solutions.
- Reuse & recyclable – are the materials used in the solution recyclable or reusable, reducing the cost of new materials or reducing the cost of dumping waste.
- RoHS/ REACH compliance
The image below from Zhang Xin Guo’s presentation nicely demonstrates the iterative steps before reaching a physical product
Before committing to a hardware implementation, the virtual product can be analyzed, behavior can be simulated, and it carbon impact can be calculated for the various potential variants.
The manufacturing process and energy usage during operation are also a part of the carbon impact calculation. The best performing virtual solution, including its simulations models, can be chosen for the realization to ensure the most environmentally friendly solution.
The digital twin for follow-up
Once the solution has been realized, the company still has a virtual model of the solution. By connecting the physical product’s observed and measured behavior, the virtual side’s modeling can be improved or used to identify improvement candidates – maintenance or upgrades. At this stage, the virtual twin is the actual twin of the physical solution. Without going deeper into the digital twin at this stage, I hope you also realize MBSE is a starting point for implementing digital twins serving sustainability outcomes.
The image below, published by Boeing, illustrates the power of the connected virtual and physical world and the various types of modeling that help to assess the optimal solution.
Conclusion
For sustainability, it all starts with the design. The design decisions for the product contribute for 80 % to the carbon footprint of the solution. Afterward, optimization is possible within smaller margins. MBSE is the recommended approach to get a trustworthy understanding and follow-up of the product’s environmental impact.
What do you think can we create sustainable products without MBSE?
We are happy to close the year with the first round of the PLM Global Green Alliances (PGGA) series: PLM and Sustainability.
We interviewed PLM-related software vendors in this series, discussing their sustainability mission and offering.
We talked with SAP, Autodesk, Dassault Systèmes, Sustaira and Aras and now with PTC. It was an exciting discussion, looking back at their Lifecycle Analysis (LCA) history and ending with a cliffhanger about what’s coming next year.
PTC
The discussion was with Dave Duncan, VP Sustainability at PTC, focusing on industrial Sustainability as well as PTC’s internal footprint reduction programs, joined by James Norman, who globally leads PTC’s Community of Practice for PLM and Design-for-Sustainability.
Interesting to notice from this discussion, listen to the introduction of Dave and James and their history with Sustainability long before it became a buzzword and then notice how long it takes till digital thread and digital twin are mentioned – enjoy the 38 minutes of interaction below
Slides shown during the interview combined with additional company information can be found HERE.
What we have learned
- It was interesting to learn that just before the financial crisis in 2008, PTC invested (together with James Norman) in lifecycle analysis. But, unfortunately, a focus on restoring the economy silenced this activity until (as Dave Duncan says) a little more than six months ago, when Sustainability is almost in the top 3 of every company’s agenda.
- Regulation and financial reporting are the current drivers for companies to act related to Sustainability.
- The digital thread combined with the notion of relying on data quality are transformational aspects.
- Another transformational aspect is connecting sustainability as an integrated part of product development instead of a separate marketing discipline.
- Early next year, we will learn more about the realization of the PTC Digital Twin.
Want to learn more
Here are some links to the topics discussed in our meeting:
- The Innovators Program
- The Cummins Case Study
- The PTC Digital Twin description
- The PTC ServiceMax announcement
Conclusions
It was great to conclude with PTC this year. I hope readers following this series: “The PLM Global Green Alliance meets …” has given a good first impression of where PLM-related vendors are heading regarding their support for a sustainable future.
We touched base with them, the leaders, and the experts in their organizations. We discussed the need for data-driven infrastructures, the relation with the circular economy and compliance.
Next year we plan to follow up with them, now looking more into the customer experiences, tools, and methodology used.
In the last few weeks, I thought I had a writer’s block, as I usually write about PLM-related topics close to my engagements.
Where are the always popular discussions related to EBOM or MBOM? Where is the Form-Fit-Function discussion or the traditional “meaningful numbers” discussions?
These topics always create a lot of interaction and discussion, as many of us have mature opinions.
However, last month I spent most of the time discussing the connection between digital PLM strategies and sustainability. With the Russian invasion of Ukraine, leading to high energy prices, combined with several climate disasters this year, people are aware that 2022 is not a year as usual. A year full of events that force us to rethink our current ways of living.
The notion of urgency
Sustainability for the planet and its people has all the focus currently. COP27 gives you the impression that governments are really serious. Are they? Read this post from Kimberley R. Miner, Climate Scientist at NASA, Polar Explorer& Professor.
She doubts if we really grasp the urgency needed to address climate change. Or are we just playing to be on stage? I agree with her doubts.
So what to do with my favorite EBOM-MBOM discussions?
Last week I attended an event organized by Dassault Systems in the Netherlands for their Dutch/Belgium customers.
The title of the event was: Sustainable innovation for a digital future. I expected a techy event. Click on the image to see the details.
Asking my grandson, who had just started to his study Aerospace Engineering in Delft (NL), learning to work with CAD and PLM-tools, to join me – he replied:
“Too many software demos”
It turned out that my grandson was wrong. The keynote speech from Ruud Veltenaar made most of the audience feel uncomfortable. He really pointed to the fact that we are aware of climate change and our impact on the planet, but in a way, we are paralyzed. Nothing new, but confronting and unexpected when going to a customer event.
Ruud’s message: Accept that we are at the end of an existing world order, and we should prepare for a new world order with the right moral leadership. It starts within yourself. Reflect on who you really are, where you are in your life path, and finally, what you want.
It sounds simple, and I can see it helps to step aside and reflect on these points.
Otherwise, you might feel we are in a rat race as shown below (recommend to watch).
The keynote was the foundation for a day of group and panel discussions on sustainability. Learning from their customers their sustainability plans and experiences.
It showed Dassault Systems, with its 2012 purpose (click on the link to see its history), Harmonizing Products, Nature and Life is ahead of the curve (at least they were for me).
The event was energizing, and my grandson was wrong:
“No software – next time?”
The impact of legacies – data, processes & people
For those who haven’t read my previous post, The week after PLM Roadmap / PDT Europe 2022, I wrote about the importance of Heterogeneous and federated PLM, one of the discussions related to data-driven PLM.
Looking back, I have been writing about data-driven PLM since 2014, and few companies have made progress here. Understandable, first of all, due to legacy data, which is not in the right format or quality to support data-driven processes.
However, also here, legacy processes and legacy people are blocking the change. There is no blame here; it is difficult to change. You might have a visionary management team, but then it comes down to the execution of the strategy. The organizational structure and the existing people skills are creating more resistance than progress.
For that reason, I wrote this post in 2015: PLM and Global Warming, where I compared the progress we made within our PLM community with the lack of progress we are making in solving global warming. We know the problem, but we are unable to act due to the lack of feeling the urgency.
This blog post triggered Rich McFall to start together in 2018 the PLM Global Green Alliance.
In my PLM Roadmap / PDT Europe session Sustainability and Data-driven PLM – the perfect storm, I raised the awareness that we need to speed up. We have 10 perhaps 15 years to implement radical changes, according to scientists, before we reach irreversible tipping points.
Why PLM and Sustainability?
Sustainability starts with the business strategy. How does your company want to contribute to a more sustainable future? The strategy to follow with probably the most impact is the concept of a circular economy – image below and more info here.
The idea behind the circular economy is to minimize the need for new finite materials (the right side) and to use for energy delivery only renewables. Implementing these principles clearly requires a more holistic design of products and services. Each loop should be analyzed and considered when delivering solutions to the market.
Therefore, a logical outcome of the circular economy would be transforming from selling products to the market towards a product-as-a-service model. In this case, the product manufacturer becomes responsible for the full product lifecycle and its environmental impact.
And here comes the importance of PLM. You can measure and tune your environmental impact during production in your ERP or MES environment. However, 80 % of the environmental impact is defined during the design phase, the domain of PLM. All these analysis together are called Life Cycle Analysis or Life Cycle Assessment (LCA). A practice that starts at the moment you start to think about a product or solution – a specialized systems thinking approach.
So how to define and select the right options for future products?
Virtual products / Digital Twins
This is where sustainability is pushing for digitization of the product lifecycle. Building and analyzing products in the virtual world is much cheaper than working with physical prototypes.
The importance of a model-based approach here allows companies efficiently deal with trade-off studies for each solution.
In addition, the choice and the behavior of materials also have an impact. These material properties will come from various databases, some based on hazardous substances, others on environmental parameters. Connecting these databases to the virtual model is crucial to remain efficient.
Imagine you need manually collect and process in these properties whenever studying an alternative. The manual process will be too costly (fewer trade-offs and not finding the optimum) and too slow (time-to-market impact).
That’s why I am greatly interested in all the developments related to a federated PLM infrastructure. A monolithic system cannot be the solution for such a model-based environment. In my terminology, here we need an architecture with systems of engagement combined with system(s) of record.
I will publish more on this topic in the future.
In the previous paragraphs, I wrote about the virtual product environment, which some companies call the virtual twin. However, besides the virtual twin, we also need several digital twins. These digital models allow us to monitor and optimize the production process, which can lead to design changes.
Also, monitoring the product in operation using a digital twin allows us to optimize the performance and execution of the solutions in the field.
The feedback from these digital twins will then help the company to improve the design and calibrate their simulation models. It should be a closed loop. You can find a more recent discussion related to the above image here.
Our mission
At this moment, sustainability is at the top of my personal agenda, and I hope for many of you. However, besides the choices we can make in our personal lives, there is also an area where we, as PLM interested parties, should contribute: The digitization of the product lifecycle as an enabler for a sustainable business.
Without mature concepts for a connected enterprise, implementing sustainable products and business processes will be a wish, not a strategy. So add digitization to your skillset and use it in the context of sustainability.
Conclusion
It might look like this PLM blog has become an environmental blog. This might be right, as the environmental impact of products and solutions is directly related to product lifecycle management. However, do not worry. In the upcoming time, I will focus on the aspects and experiences of a connected enterprise. I will leave the easier discussions (EBOM/MBOM/FFF/Smart Numbers) from a coordinated enterprise as they are. There is work to do shortly. Your thoughts?
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.
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.
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