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Happy New Year to all of you and I am wishing you all an understandable and digital future. This year I hope to entertain you again with a mix of future trends related to PLM combined with old PLM basics. This time, one of the topics that are popping up in almost every PLM implementation – numbering schemes – do we use numbers with a meaning, so-called intelligent numbers or can we work with insignificant numbers? And of course, the question what is the impact of changing from meaningful numbers towards unique meaningless numbers.
Why did we create “intelligent” numbers?
Intelligent part numbers were used to help engineers and people on the shop floor for two different reasons. As in the early days, the majority of design work was based on mechanical design. Often companies had a one-to-one relation between the part and the drawing. This implied that the part number was identical to the drawing number. An intelligent part number could have the following format: A4-95-BE33K3-007.A
Of course, I invented this part number as the format of an intelligent part number is only known to local experts. In my case, I was thinking about a part that was created in 1995, drawn on A4. Probably a bearing of the 33K3 standard (another intelligent code) and its index is 007 (checked in a numbering book). The version of the drawing (part) is A
A person, who is working in production, assembling the product and reading the BOM, immediately knows which part to use by its number and drawing. Of course the word “immediately” is only valid for people who have experience with using this part. And this was in the previous century not so painful as it is now. Products were not so sophisticated as they are now and variation in products was limited.
Later, when information became digital, intelligent numbers were also used by engineering to classify their parts. The classification digits would assist the engineer to find similar parts in a drawing directory or drawing list.
And if the world had not changed, there would be still intelligent part numbers.
Why no more intelligent part numbers?
There are several reasons why you would not use intelligent part numbers anymore.
- An intelligent number scheme works in a perfect world where nothing is changing. In real life companies merge with other companies and then the question comes up: Do we introduce a new numbering scheme or is one of the schemes going to be the perfect scheme for the future?If this happened a few times, a company might think: Do we have to through this again and again? As probably topic #2 has also occurred.
- The numbering scheme does not support current products and complexity anymore. Products change from mechanical towards systems, containing electronic components and embedded software. The original numbering system has never catered for that. Is there an overreaching numbering standard? It is getting complicated, perhaps we can change ? And here #3 comes in.
- As we are now able to store information in a digital manner, we are able to link to this complex part number a few descriptive attributes that help us to identify the component. Here the number is becoming less important, still serving as access to the unique metadata. Consider it as a bar code on a product. Nobody reads the bar code without a device anymore and the device connected to an information system will provide the right information. This brings us to the last point #4.
- In a digital enterprise, where data is flowing between systems, we need unique identifiers to connect datasets between systems. The most obvious example is the part master data. Related to a unique ID you will find in the PDM or PLM system the attributes relevant for overall identification (Description, Revision, Status, Classification) and further attributes relevant for engineering (weight, material, volume, dimensions).
In the ERP system, you will find a dataset with the same ID and master attributes. However here they are extended with attributes related to logistics and finance. The unique identifier provides the guarantee that data is connected in the correct manner and that information can flow or connected between systems without human interpretation or human-spent processing time.
What to do now in your company?
There is no business justification just to start renumbering parts just for future purposes. You need a business reason. Otherwise, it will only increase costs and create a potential for migration errors. Moving to meaningless part numbers can be the best done at the moment a change is required. For example, when you implement a new PLM system or when your company merges with another company. At these moments, part numbering should be considered with the future in mind.
And the future is no longer about memorizing part classifications and numbers, even if you are from the generation that used to structure and manage everything inside your brain. Future businesses rely on digitally connected information, where a person based on machine interpretation of a unique ID will get the relevant and meaningful data. Augmented reality (picture above) is becoming more and more available. It is now about human beings that need to get ready for a modern future.
Intelligent part numbers are a best practice from the previous century. Start to think digital and connected and try to reduce the dependency of understanding the part number in all your business activities. Move towards providing the relevant data for a user. This can be an evolution smoothening a future PLM implementation step.
Looking forward to discussing this topic and many other PLM related practices with you face to face during the Product Innovation conference in Munich. I will talk about the PLM identity change and lead a focus group session about PLM and ERP integration. Looking from the high-level and working in the real world. The challenge of every PLM implementation.
- It does not make sense to define the future of PLM
- PLM is not an engineering solution anymore
- Linearity of business is faster becoming a holdback
- The Product in PLM is no longer a mechanical Product
- Planet Lifecycle Management has made a next major step
It does not make sense to define the future of PLM
At the beginning of this year, there was an initiative to define the future of PLM for 2025 to give companies, vendors, implementors a guidance to what is critical and needed for PLM in 2015. Have a read here: The future of PLM resides in Brussels.
I believe it is already hard to agree what has been the recognized scope of PLM in the past 10 years, how can we define the future of PLM for the next 10 years. There are several trends currently happening (see the top 5 above) that all can either be in or out of scope for PLM. It is no longer about the definition of PLM; it is dynamically looking towards how businesses adapt their product strategy to new approaches.
Therefore, I am more curious how Product Innovation platforms or Business Innovation platforms will evolve instead of focusing on a definition of what should be PLM in 2025. Have a further look here, such as, The Next Step in PLM’s Evolution: Its Platformization a CIMdata positioning paper.
Conclusion: The future is bright and challenging, let´s not fence it in by definitions.
PLM is not an engineering solution anymore
More and more in all the discussions I had this year with companies looking into PLM, most of them see now PLM as a product information backbone throughout the lifecycle, providing a closed-loop of information flow and visibility across all discipline.
End-to-end visibility, End-to-end tractability, Real-time visibility were some of the buzz-words dropped in many meetings.
These words really express the change happening. PLM is no longer an engineering front-end towards ERP; PLM interacts at each stage of the product lifecycle with other enterprise systems.
End-to-end means when products are manufactured we still follow them through the manufacturing process (serialization) and their behavior in the field (service lifecycle management/field analytics).
All these concepts require companies to align in a horizontal manner, instead of investing in optimizing their silos. Platformization, as discussed above, is a logic step for extending PLM.
Conclusion: If you implement PLM now, start thinking first about the end-to-end flow of information. Or to be more concrete: Don´t be tempted to start with engineering first. It will lock your new PLM again in an extended PDM silo.
Linearity of business is faster becoming a holdback
Two years ago I started talking about: Did you notice PLM is changing ? This topic was not in the mainstream of PLM discussions two years ago. Now with the introduction of more and more software in products (products become systems), the linear process of bringing a product to the market has become a holdback.
The market /your customers expect faster and incremental innovations/ upgrades preferably without having to invest again in a new product. If you look back, the linear product development approach has not changed since the Second World War. We automated more and more the linear process. Remember the New Product Introduction hype around 2004 -2006, where companies started to extend the engineering process with a governance process to follow a product´s introduction from its early concept phase toward a globally available product. This process is totally linear. I wrote about it in my post: from a linear world to fast and circular, where the word circular is also addressing the change of delivering products as a service instead of deliver once and scrap them.
One of my favorite presentations is from Chris Armbruster: Rethinking Business for Exponential Times – enjoy if you haven´t seen this one.
Conclusion: The past two years the discussion related to modern, data-driven dynamic products and services has increased rapidly. Now with IoT, it has become a hype to be formalized soon as life goes faster and faster.
The Product in Product Lifecycle Management is no longer a mechanical Product
When I started to implement PDM systems in the nineties, we tried to keep electrical engineering outside the scope as we had no clue how to manage their information in the context of a mechanical design. It was very rudimentary. Now PLM best practices exist to collaborate and synchronize around the EBOM in an integrated manner.
The upcoming challenge now is due to the software used in products, which turn them into systems. And not only that, software can be upgraded in a minute. So the classical ECR / ECO processes designed for hardware are creating too much overhead. Agile is the motto for software development processes. Now, we (PLM consultants/vendors) are all working on concepts and implementations where these worlds come together. PLM (Product Lifecycle Management), ALM (Asset Lifecycle Management) and SysLM (System Lifecycle Management as introduced by Prof. Martin Eigner – have a read here) are all abbreviations representing particular domains that need to flow together.
Conclusion: For most companies their products become systems with electronics and software. This requires new management and governance concepts. The challenge for all vendors & implementors.
Planet Lifecycle Management has made a next major step
Finally good news came in the beginning of December, where for the first time all countries agreed that our planet needs to have a sustainable lifecycle. Instead of the classical lifecycle from cradle to grave we want to apply a sustainable lifecycle to this planet, when it is still possible. This decision is a major breakthrough pushing us all to leave the unsustainable past behind and to innovate and work on the future. The decisions taken in Paris should be considered as a call for innovative thinking. PLM can learn from that as I wrote earlier this year in my post PLM and Global Warming
Conclusion: 2015 was a year where some new trends became clear. Trends will become commodity faster and faster. A challenge for all of us to stay connected and understand what is happening. Never has the human brain challenged before to adapt to change with such an impact.
Closing 2015 means for me a week of quietness and stepping out of the fast lane. I wish you all a healthy 2016 with a lot of respect, compromises and changing viewpoints. The current world is too complex to solve issues by one-liners.
Take your time to think and reflect – it works!
SEE AND HEAR YOU BACK IN 2016
Topics discussed in 2014-2015
- The importance of a PLM data model: EBOM – MBOM
- EBOM and (CAD) Documents
- Some more EBOM methodology
- Products, BOMs, and Parts
- The Importance of a PLM data model
PLM and Business Change
- Modern PLM brings Power to the People
- The Innovator’s dilemma and Generation change
- The importance of change management with PLM
- PLM and Global warming
- Breaking down the silos with data
- From a linear world to fast and circular ?
From a linear world to a circular and fast-blog
PLM and Business
The past weeks I have discussed at various events two topics that appeared to be different:
- The change from an analogue, document-driven enterprise towards a digital, data-driven enterprise with all its effects. E.g. see From a linear world to fast and circular?
- The change in generations upcoming. The behavior and the attitude of the analogue generation(s) and the difference in behavior from the digital generation(s).
During PDT2015 (a review of the conference here), we discussed all the visible trends that business in exponential changing in some industries due to digitalization and every cheaper technology. The question not answered during that conference was: How are we going to make this happen in your company?
Last week I spoke at a PLM forum in Athens and shared with the audience the opportunities for Greece to catch-up and become a digital service economy like Singapore. Here I pictured an idealistic path how this could happen (based on an ideal world where people think long-term).
A mission impossible, perhaps.
The primary challenge to move from analogue towards digital is to my opinion the difference in behavior of the analogue and digital generations (and I am generalizing of course)
The analogue generation has been educated that knowledge is power. Store all you know in your head or keep it in books close to you. Your job was depending on people needing you. Those who migrated to the digital world most of the time continued the same behavior. Keep information on your hard disk or mailbox. A job was designed for life and do not plan to share as your job might come at risk. Continuous education was not part of their work pattern. And it is this generation that is in power in most of the traditional businesses.
The digital generation has been educated (I hope so – not sure for every country) to gather information, digest and process it and come with a result. There is no need to store information in your head as there is already an information overflow. Store in your head methodology and practices to find and interpret data. The digital generation for sure wants a stable work environment but they already grew up with the mindset that there is no job for life, having seen several crises. It is all about being flexible and keep your skills up-to-date.
So we have the dilemma here that business is moving from analogue towards digital, where the analogue business represents the linear processes that the old generation was used to. Digital business is much more an iterative approach, acting and adapting on what happens around you. A perfect match for the digital generations.
A dilemma ?
Currently the old generation is leading and they will not easy step aside due to their classical education and behavior. We cannot expect behavior to change, just because it is logically explained. In that case, everyone would stop smoking or adopt other healthy standards.
The dilemma reminded me of the Innovators Dilemma, a famous theory from Clayton Christensen, which also could apply to analogue and digital businesses. Read more about the Innovators Dilemma here in one of my older blog posts: The Innovator´s dilemma and PLM. You can replace the incumbent with the old analogue generation and the disruptive innovation comes from using digital platforms and information understood by the digital generation. If you follow this theory, it would mean old businesses would disappear and new businesses would pop-up and overtake the old companies. Interesting conclusion, however, will there be disruption everywhere?
Recently I saw Peter Sondergaard from Gartner presenting at Gartner Symposium/ITxpo 2015 in Orlando. In his keynote speech, he talked about the value of algorithms introducing first how companies should move from their traditional analogue business towards digital business in a bimodal approach. Have a read of the press release here.
If you have the chance to view his slick and impressive keynote video (approx. 30 minutes) you will understand it better. Great presentation. In the beginning Peter talks about the bimodal approach sustaining old, slowly dying analogue businesses and meanwhile building teams developing a digital business approach. The graph below says it all.
Interesting from this approach is that a company can evolve without being disrupted. Still my main question remains: Who will lead this change from the old analogue business towards modern digital business approach. Will it be the old generation coaching the new generation or will there be a natural evolution at the board level required before this process starts?
I have no conclusion this time as I am curious to your opinion. A shift in business is imminent, but HOW will companies / countries pick-up this shift?
Your thoughts or experiences ?
Image and article related to the article “The Onrushing Wave” in the Economist Jan 18th, 2014
When PLM is discussed at management level, often the goal is to increase efficiency, which translates into doing the same with fewer people. And it is the translation that is creating worries inside the company. The PLM system is going to cut down the amount of jobs in our company.
The result: People, who fear their job is at risk, will make sure PLM will fail and become blockers. These people will be the ones defending the “good old way of working” and create a mood of complexity for the new PLM system.
I wrote some time ago a post about PLM and Blockers
At the end there is frustration at all levels in the company and PLM systems are to blame.
How to address the fear for disappearing jobs block a PLM implementation?
First of all if you implement PLM now, do not target efficiency only. There is a digital revolution ongoing, radically changing standard businesses and markets. The picture at the top says it all. If you are still not convinced, read the “old” article from the Economist or more related to PLM, I just read this article from Accenture consulting talking about Digital PLM. I liked the opening sentence from that article:
“It’s time to adopt a digital model for product lifecycle management – or get left behind.”
The digital revolution forces companies to become extremely flexible and agile. Business models can rapidly change. Where perhaps your company was the market leader, a few years you can be in trouble, due to the decoupling of products and services in a different business model. There are a few places where you do not have to worry (yet). If you are in a governmental type of business (no competition – you are the only preferred supplier) the less worried you might be for the upcoming digital revolution. Other types of companies need to make a strategic plan.
Making a strategic plan
The strategic plan starts at the board level and has, of course, elements of efficiency. However, the major strategic discussion should be: “How will we differentiate our company in the future and stay in business and profitable”. This cannot be by competing on price only. It requires you can excite your future customers and who these customers are might not be clear yet either.
Different business models can give the company a better position in the market. The current trend in competitive markets is that the value does not come from selling products. Selling services or operation capacity (OPEX instead of CAPEX) are currently upcoming new business models and they need constant anticipation to what happens in the market or at your potential customer base.
Digitalization of information and being able to work with real-time information, instead of information hidden in documents, handled by document controllers, creates the opportunity to change. For example the potential of “The Internet of Everything” is huge.
At the board level, you need the vision where the company should be in the next 5 to 10 years. It will not bubble up automatically in an organization. And when talking about PLM, it should be digital PLM.
It is not easy to communicate the above if you have not lived through the whole process in your mind. Management needs to be able to explain the vision and its impact on the organization in such a way that it empowers people instead of making them afraid of change. We all know the examples of charismatic CEOs, like Steve Jobs, who could energize a company and its customers. However, it is clear that not every CEO is like Steve Jobs.
Once you are able to communicate the vision, it will be logical that the organization needs new processes and in modern digital processes create different responsibilities and need different management styles.
When you start implementing PLM in a modern approach (digital PLM according to Accenture) there will be jobs disappearing. There is no need to be secretive about that; it is a result of the vision that should be known to everyone in the company.
Disappearing jobs are:
- jobs where people are processing data (from one format to the other) and checking follow-up processes (from on Excel to the other). If your daily job is collecting data and filling spreadsheets with data your job is at risk. In a digital environment, the data will be real-time available and can be filtered and presented in automatic reports or dashboards.
- Jobs where team managers have the major task to decide on priorities for the team and fight with other discipline team managers on priorities. In a digital environment, empowered employees will understand conflicting activities and they will be able to discuss and decide immediately with the relevant people. No need for an intermediate layer of people handling escalations only. It is true that this modern approach requires a different management style and people who can deal with being empowered. In general, empowered people feel more motivated that employees who are just doing what their managers tell them to do. The business change from hierarchical and siloed organizations towards networked organizations is critical and challenging – all depending on trust and the right change management.
- The classical fire-fighters. At first glance they are considered as crucial as they solve all the issues with great energy, do not run away when work needs to be done and make it happen. From the management perspective, these people are blocking change as they flourish from the chaos and do not fix or prevent new issues coming up.
For all other people in the company, digital PLM should bring relief – see the Gartner quote below.
Digital business jobs imply spending less time in searching for information. Less work in a reactive mode as information in the right context in real-time will be available. End to end visibility of information combined with transparency will lead to higher performance and motivation. It requires changing behaviors, motivation must come from the inspiration of the management and the understanding that your company is becoming more flexible and more competitive than before. And for that reasons keeping you in business and providing you an interesting place to work.
Conclusion: Do not use PLM to improve efficiency only and ROI discussions. There is a strategic need to be ready and stay in business for the future. Modern PLM is an enabler, however, requires a vision, inspiring communication and a path for employees to be empowered.
I am curious about your opinion – will this happen to your company / industry?
As a genuine Dutchman, I was able to spend time last month in the Netherlands, and I attended two interesting events: BIMOpen2015, where I was invited to speak about what BIM could learn from PLM (see Dutch review here) and the second event: Where engineering meets supply chain organized by two startup companies located in Yes!Delft an incubator place working close to the technical university of Delft (Dutch announcement here)
Two different worlds and I realized later, they potential have the same future. So let’s see what happened.
BIMopen 2015 had the theme: From Design to Operations and the idea of the conference was to bring together construction companies (the builders) and the facility managers (the operators) and discuss the business value they see from BIM.
First I have to mention that BIM is a confusing TLA like PLM. So many interpretations of what BIM means. For me, when I talk about BIM I mean Building Information Management. In a narrower meaning, BIM is often considered as a Building Information Model – a model that contains all multidisciplinary information. The last definition does not deal with typical lifecycle operations, like change management, planning, and execution.
The BIMopen conference started with Ellen Joyce Dijkema from BDO consultants who addressed the cost of failure and the concepts of lean. Thinking. The high cost of failure is known and accepted in the construction industry, where at the end of the year profitability can be 1 % of turnover (with a margin of +/- 3 % – so being profitable is hard).
Lean thinking requires a cultural change, which according to Ellen Joyce is an enormous challenge, where according to a study done by Prof Dr. A. Cozijnsen there is only 19 % of chance this will be successful, compared to 40 % chance of success for new technology and 30 % of chance for new work processes.
It is clear changing culture is difficult and in the construction industry it might be even harder. I had the feeling a large part of the audience did not grasp the opportunity or could find a way to apply it to their own world.
My presentation about what BIM could learn from PLM was similar. Construction companies have to spend more time on upfront thinking instead of fixing it later (costly). In addition thinking about the whole lifecycle of a construction, also in operations can bring substantial revenue for the owner or operator of a construction. Where traditional manufacturing companies take the entire lifecycle into account, this is still not understood in the construction industry.
This point was illustrated by the fact that there was only one person in the audience with the primary interest to learn what BIM could contribute to his job as facility manager and half-way the conference he still was not convinced BIM had any value for him.
A significant challenge for the construction industry is that there is no end-to-end ownership of data, therefore having a single company responsible for all the relevant and needed data does not exist. Ownership of data can result in legal responsibility at the end (if you know what to ask for) and in a risk shifting business like the construction industry companies try to avoid responsibility for anything that is not directly related to the primary activities.
Some larger companies during the conference like Ballast Nedam and HFB talked about the need to have a centralized database to collect all the data related to a construction (project). They were building these systems themselves, probably because they were not aware of PLM systems or did not see through the first complexity of a PLM system, therefore deciding a standard system will not be enough.
I believe this is short-term thinking as with a custom system you can get quick results and user acceptance (it works the way the user is asking for) however custom systems have always been a blockage for the future after 10-15 years as they are developed with a mindset from that time.
If you want to know, learn more about my thoughts have a look at 2014 the year the construction industry did not discover PLM. I will write a new post at the end of the year with some positive trends. Construction companies start to realize the benefits of a centralized data-driven environment instead of shifting documents and risks.
The cloud might be an option they are looking for. Which brings me to the second event.
Engineering meets Supply Chain
This was more an interactive workshop / conference where two startups KE-Works and TradeCloud illustrated the individual value of their solution and how it could work in an integrated way. I had been in touch with KE-Works before because they are an example of the future trend, platform-thinking. Instead of having one (or two) large enterprise system(s), the future is about connecting data-centric services, where most of them can run in the cloud for scalability and performance.
KE-Works provides a real-time workflow for engineering teams based on knowledge rules. Their solution runs in the cloud but connects to systems used by their customers. One of their clients Fokker Elmo explained how they want to speed up their delivery process by investing in a knowledge library using KE-works knowledge rules (an approach the construction industry could apply too)
In general if you look at what KE-works does, it is complementary to what PLM-systems or platforms do. They add the rules for the flow of data, where PLM-systems are more static and depend on predefined processes.
TradeCloud provides a real-time platform for the supply chain connecting purchasing and vendors through a data-driven approach instead of exchanging files and emails. TradeCloud again is another example of a collection of dedicated services, targeting, in this case, the bottom of the market. TradeCloud connects to the purchaser’s ERP and can also connect to the vendor’s system through web services.
The CADAC group, a large Dutch Autodesk solution provided also showed their web-services based solution connecting Autodesk Vault with TradeCloud to make sure the right drawings are available. The name of their solution, the “Cadac Organice Vault TradeCloud Adapter” is more complicated than the solution itself.
What I saw that afternoon was three solutions providers connected using the cloud and web services to support a part of a company’s business flow. I could imagine that adding services from other companies like OnShape (CAD in the cloud), Kimonex (BOM Management for product design in the cloud) and probably 20 more candidates can already build and deliver a simplified business flow in an organization without having a single, large enterprise system in place that connects all.
I believe this is the future and potential a breakthrough for the construction industry. As the connections between the stakeholders can vary per project, having a configurable combination of business services supported by a cloud infrastructure enables an efficient flow of data.
As a PLM expert, you might think all these startups with their solutions are not good enough for the real world of PLM. And currently they are not – I agree. However disruption always comes unnoticed. I wrote about it in 2012 (The Innovators Dilemma and PLM)
Innovation happens when you meet people, observe and associate in areas outside your day-to-day business. For me, these two events connected some of the dots for the future. What do you think? Will a business process based on connected services become the future?
Sometimes we have to study careful to see patterns have a look here what is possible according to some scientists (click on the picture for the article)
The conference was hosted by Eurostep supported by CIMdata, Airbus, Siemens Energy and Volvo AB.
For me, the PDT conference is interesting because there is a focus on architecture and standards flavored with complementary inspiring presentations. This year there were approximate 110 participants from 12 countries coming from different industries listening to 25 presentations spread over two days.
Peter Bilello from CIMdata kicked off the conference with his presentation: The Product Innovation Platform: What’s Missing.
Peter explained how the joined vision from CIMdata, Gartner and IDC related to a product innovation platform is growing.
The platform concept is bringing PLM to the enterprise level as a critical component to support innovation. The main challenge is to make the complex simple – easier said than done, but I agree this is the real problem of all the software vendors.
Peter showed an interesting graph based on a survey done by CIMdata, showing two trends.
- The software and technology capabilities are closing more and more the gap with the vision (a dream can come true)
- The gap between the implemented capabilities and the technical possible capabilities is growing too. Of course, there is a difference between the leaders and followers.
Peter described the three success factors determining if a platform can be successful:
- Connection: how easy is it for others to connect and plug into the platform to participate as part of the platform. Translated to capabilities this requires the platform to support open standards to connect external data sources as you do not want to build new interfaces for every external source. Also, the platform provider should provide an integration API with a low entry level to get the gravity (next point)
- Gravity: how well does the platform attract participants, both producers, and consumers. Besides a flexible and targeted user interfaces, there must be an infrastructure that allows companies to model the environment in such a manner that it supports experts creating the data, but also support consumers in data, who are not able to navigate through details and want a consumer-friendly environment.
- Flow: how well does the platform support the exchange and co-creation of value. The smartphone platforms are extremely simple compared to a business platform as the dimension of lifecycle status and versioning is not there. A business platform needs to have support for versioning and status combined with relating the information in the right context. Here I would say only the classical PLM vendors have in-depth experience with that.
Having read these three bullet points and taking existing enterprise software vendors for PLM, ERP, and other “platforms” in mind, you see there is still a way to go before we have a “real” platform available.
According to Peter, companies should start with anchoring the vision for a business innovation platform in their strategic roadmap. It will be an incremental journey anyway. How clear the vision is connected to business execution in reality differentiates leaders and followers.
Next Marc Halpern from Gartner elaborated on enabling Product Innovation Platforms. Marc started to say that the platform concept is still the process of optimizing PLM.
Marc explained the functional layers making up a product innovation platform, see below
According to Marc, in 2017 the major design, PLM and business suite vendors will all offer product innovation platforms, where certain industries are more likely to implement product innovation platforms faster than others.
Marc stressed that moving to a business innovation platform is a long, but staged, journey. Each stage of the journey can bring significant value.
Gartner has a 5-step maturity model based on the readiness of the organization. Moving from reactive, repeatable, integrating towards collaborating and ultimately orchestrating companies become business ready for PDM first, next PLM and the Product Innovation Platform at the end. You cannot skip one of these steps according to Marc. I agree, PLM implementations in the past failed because the company was dreaming that the PLM system would solve the business readiness of the organization.
Marc ended with a case study and the conclusions were not rocket science.
The importance of change management, management understanding and commitment, and business and IT joined involvement. A known best practice, still we fail in many situations to act accordingly, due to underestimation of the effort. See also my recent blog post: The importance of change management for PLM.
She described how Anders Wilhemson, original a professor in architecture, focused on solving a global, big problem addressing 2.5 billion people in the world. These 2.5 billion persons, the poorest of the world, lack sanitation, which results in a high death rate for children (every 15 seconds a child dies because of contaminated water). Also the lack of safe places for sanitation lead to girls dropping out of school and women and children being at risk for rape when going to toilet places.
The solution is a bag, made of high-performance biodegradable plastics combined with chemicals, already in the bag, processing the feces to kill potential diseases and make the content available as fertilizer for the agricultural industry.
The plastic bag might not be new, but adding the circular possibilities to it, make it a unique approach to creating a business model providing collection and selling of the content again. For the poorest every cent they can earn makes a different.
Currently in initial projects the Peepoo system has proven its value: over 95 % user acceptance. It is the establishment that does not want to introduce Peepoo on a larger scale. Apparently they never realized themselves the problems with sanitation.
Peepoo is scaling up and helping the bottom of our society. And the crazy fact is that it was not invented by engineers but by an architect. This is challenging everyone to see where you can contribute to a better world. Have a look at peepoople.com – innovation with an enormous impact!
Next Volvo Cars and Volvo Trucks presented similar challenges: How to share product data based on external collaboration. The challenge of Volvo Cars is that it has gone through different ownerships and they require a more and more flexible infrastructure to share data. It is not about data pushing to a supplier anymore, it is about integrating partners where you have to share a particular part of your IP with the partner. And where the homegrown KPD system is working well for internal execution, it was never designed for partner sharing and collaboration. Volvo Cars implemented a Shared Technology Control application outside the firewall based on Share-A-space, where inside and outside data is mapped and connected. See their summary below. A pragmatic approach which is bringing direct benefits.
Concluding from the Volvo sessions: Apparently it ‘s hard to extend an existing system or infrastructure for secure collaboration with an external partner. The complexity of access right, different naming conventions, etc. Instead of that it is more pragmatic to have an intermediate system in the middle, like Share-A-space, that connects both worlds. The big advantage of Share-A-space is that the platform is based on the ISO 10303 (PLCS) standard and, therefore, has one of the characteristics of a real platform: openness based on standards.
Jonas Hammerberg from the Awesome Group closed day one with an inspiring and eye-opening presentation: Make PLM – The Why and How with Gamification FUN.
Jonas started to describe the behavioral drivers new generations have based on immediate feedback for the feeling of achievement, pride and status and being in a leading environment combined with the feelings of being in a group feeling friendship, trust, and love.
Current organizations are not addressing these different behaviors, it leads to disengagement at the office / work floor as Jonas showed from a survey held in Sweden – see figure. The intrinsic motivation is missing. One of the topics that concerns me the most when seeing current PLM implementations.
The Awesome group has developed apps and plug-ins for existing software, office and PLM bring in the feelings of autonomy, mastery and purpose to the individual performing in teams. Direct feedback and stimulating team and individual performance as part of the job.
By doing so the organization also gets feedback on the behavior, activity, collaboration and knowledge sharing of individuals and how this related to their performance. An interesting concept to be implemented in situations where gamification makes sense.
Owe Lind and Magnus Lidström from Scania talked about their Remote Diagnostics approach where diagnostic readings can be received from a car through a mobile phone network either to support preventive maintenance or actual diagnostics on the road and provide support.
Interesting Owe and Magnus were not using the word IoT (Internet of Things) at all, a hype related to these capabilities. Have a look here on YouTube
There was no chance to fall asleep after lunch, where Robin Teigland from the Stockholm School of Economics took us in a whirlwind through several trends under the title: The Third Revolution – exploring new forms of value creation through doing more with less.
The decomposition of traditional business into smaller and must faster communities undermine traditional markets. Also concepts like Uber, Bitcoin becoming a serious threat. The business change as a result of connectivity and communities leading to more and more networks of skills bringing together knowledge to design a car (Local Motors), funding (Kickstarter) – and it is all about sharing knowledge instead of keeping it inside – sharing creates the momentum in the world. You can look at Robin’s presentation(s) at Slideshare here.
All very positive trends for the future, however, a big threat to the currently established companies. Robin named it the Third Revolution which is in line with what we are discussing in our PLM world, although some of us call it even the Fourth Revolution (Industry 4.0).
Professor Martin Eigner from the Technical University of Kaiserslautern brought us back to reality in his presentation: Industry 4.0 or Industrial Internet: What is the impact for PLM?
Martin stood at the base for what we call PLM and already for several years he is explaining to us that the classical definition for PLM is too narrow. More and more we are developing systems instead of products. Therefore, he prefers the abbreviation SysLM, which is more than 3 characters and therefore probably hard to accept by the industry.
System development and, therefore, multidisciplinary development of systems introduces a new complexity. Traditional change management for Mechanical CAD (ECO/ECR) is entirely different from how software change management is handled (baselines / branches related to features). The way systems are designed, require a different methodology where systems engineering is an integral part of the development process, see Model-Based Systems Engineering (MBSE).
Next Martin discussed 4 potential IT-architectures where, based on the “products” and business needs, a different balance of PLM, ALM or ERP activities is required.
Martin’s final point was about the need for standards support these architectures, bringing together OSLC, PCLS, etc.
Standards are necessary for fast and affordable integrations and data exchange.
The first topic is related to big data and analytics. Many are trying to get a grip on big data with analytics. However, the real benefit of big data comes when you are able to apply algorithms to it. Gartner just made an interesting statement related to big data (below) and Marc Halpern added to this quote that there is an intrinsic need for data standards in order to apply algorithms.
When algorithms can be used, classical processes like ECO, ECR or managers might become obsolete and even a jobs like an accountant is at risk. This as predicted in article in the Economist in February 2014 – the onrushing Wave
The second topic, where I believe we are still hesitating too long at management level, is making decisions, to anticipate the upcoming digital wave and all of its side effects. We see a huge wave coming. If we do not mobilize the people, this wave might be a tsunami for those still at the seaside
Conclusion: PDT2015 was an inspiring, well-balanced conference with excellent opportunity to network with all people attending. For those interested in the details of the PLM future and standards an ideal opportunity to get up to date. And next the challenge: Make it happen at your company!
.. if you reach this point, my compliments for your persistency to read it all. Too long for a blog post and even here I had to strip
This is a post I published on LinkedIn on July 28th related to a discussion around Excel and PLM usage and usability.
Reposted for my blog subscribers.
This post is written in the context of two posts that recently caught my attention. One post from Lionel Grealou – comparing PLM and Excel collaboration and reaction on this post and its comments by Oleg Shilovitsky – PLM Need for speed.
Both posts discuss the difference between Excel (easy to use / easy to deploy ) and a PLM system (complex to use / complicated deployment). And when you read both posts you would believe that it is mainly deployment and usability that are blocking PLM systems to be used instead of Excel.
Then I realized this cannot be the case. If usability and deployment were blocking issues for an enterprise system, how would it be possible that the most infamous system for usability, SAP, it one of the top-selling enterprise applications. Probably SAP is the best-selling enterprise application. In addition, I have never heard about any company mentioning SAP is easy to deploy. So what is the difference?
I assume if Excel had existed in its current state in the early days of MRP, people might be tempted to use Excel for some ERP functions. However they would soon realize that Excel is error prone and when you buy the wrong materials or when make errors in your resource scheduling, soon you would try to solve it in a more secure way. Using an ERP system.
ERP systems have never been sold to the users for their usability. It is more that the management is looking for guarantees that the execution process is under control. Minimize the potential for errors and try to automate all activities as much as possible. As the production process is directly linked to finance, it is crucial to have it under control. Goodbye usability, safety first.
Why is this approach not accepted for PLM?
Why do we talk about usability?
First of all, the roots for PLM come from the engineering department (PDM) and, therefore, their primary data management system was not considered an enterprise system. And when you implement a system for a department, discussions will be at the user level. So user acceptance became necessary for PDM and PLM.
But this is not the main reason. Innovation, Product Development, Sales Engineering, Engineering are all iterative activities. In contrary to ERP, there is no linear process defined how to develop the ultimate product the first time right. Although this believe existed in the nineties by an ERP country manager that I met that time. He told me
“Engineers are resources that do not want to be managed, but we will get them.”
An absurd statement I hope you agree. However, the thoughts behind this statement are correct. How do you make sure product development is done in the most efficient manner?
If you look at large enterprises in the aerospace or automotive industry, they implemented PLM, which for sure was not user-friendly. Why did they implement PLM? As they did not want to fix the errors, an Excel-like implementation would bring.
Using Excel has a lot of hidden costs. How to make sure you work with the right version as multiple copies exist? How do you know if the Excel does not contain any type indicating wrong parts? You will learn this only once it is too late. How do you understand the related information to the Excel (CAD files, specifications, etc., etc.)? All lead to a lot of extra manual work depending on the accuracy and discipline of every employee in the company. Large enterprises do not want to be dependent on individual skills.
Large enterprise have shown that it is not about usability in the first place if you wish to control the data. Like for ERP systems, they are aware of the need for PLM with reduced usability above being (fl)Exel with all its related inconvenience.
I believe when there is a discussion about PLM or Excel, we have not reached the needed conceptual level to implement PLM. PLM is about sharing data and breaking down silos. Sharing allows better and faster collaboration, maintaining quality, and this is what companies want to achieve. Therefore the title: How do you measure collaboration. This is the process you wish to optimize, and I suspect that when you would compare user-friendly collaboration with Excel with less user-friendly PLM, you might discover PLM is more efficient.
Therefore stop comparing Excel and PLM. It is all about enabling collaboration and changing people to work together (the biggest challenge – more than usability).
Conclusion: Once we have agreed on that concept, PLM value is about collaboration, there is always to hope to enhance usability. Even SAP is working on that – it is an enterprise software issue.
Two weeks ago I got this message from WordPress, reminding me that I started blogging about PLM on May 22nd in 2008. During some of my spare time during weekends, I began to read my old posts again and started to fix links that have been disappearing.
Initially when I started blogging, I wanted to educate mid-market companies about PLM. A sentence with a lot of ambiguities. How do you define the mid-market and how do you define PLM are already a good start for a boring discussion. And as I do not want to go into a discussion, here are my “definitions”
Warning: This is a long post, full of generalizations and a conclusion.
PLM and Mid-market
The mid-market companies can be characterized as having a low-level of staff for IT and strategic thinking. Mid-market companies are do-ers and most of the time they are good in their domain based on their IP and flexibility to deliver this to their customer base. I did not meet mid-market companies with a 5-year and beyond business vision. Mid-market companies buy systems. They bought an ERP system 25-30 years ago (the biggest trauma at that time). They renewed their ERP system for the Y2K problem/fear and they switched from drawing board towards a 2D CAD system. Later they bought a 3D CAD system, introducing the need for a PDM system to manage all data.
PLM is for me a vision, a business approach supported by an IT-infrastructure that allows companies to share and discover and connect product related information through the whole lifecycle. PLM enables companies to react earlier and better in the go-to-market process. Better by involving customer inputs and experience from the start in the concept and design phases. Earlier thanks to sharing and involving other disciplines/suppliers before crucial decisions are made, reducing the amount of iterations and the higher costs of late changes.
Seven years ago I believed that a packaged solution, combined with a pre-configured environment and standard processes would be the answer for mid-market companies. The same thought currently PLM vendors have with a cloud-based solution. Take it, us it as it is and enjoy.
Here I have changed my opinion in the past seven years. Mid-market companies consider PLM as a more complex extension of PDM and still consider ERP (and what comes with that system) as the primary system in the enterprise. PLM in mid-market companies is often seen as an engineering tool.
LESSON 1 for me:
The benefits of PLM are not well-understood by the mid-market
To read more:
Globalization and Education
In the past seven years, globalization became an important factor for all type of companies. Companies started offshoring labor intensive work to low-labor-cost countries introducing the need for sharing product data outside their local and controlled premises. Also, acquisitions by larger enterprises and by some of the dominant mid-market companies, these acquisitions introduced a new area of rethinking. Acquisitions introduced discussions about: what are real best practices for our organization? How can we remain flexible, meanwhile adapt and converge our business processes to be future ready?
Here I saw two major trends in the mid-market:
Lack of (PLM) Education
To understand and implement the value of PLM, you need to have skills and understanding of more than just a vendor-specific PLM system. You need to understand the basics of change processes (Engineering Change Request, Engineering Change Order, Manufacturing Change Order and more). And you need to understand the characteristics of a CAD document structure, a (multidisciplinary) EBOM, the MBOM (generic and/or plant specific) and the related Bill of Processes. This education does not exist in many countries and people are (mis-)guided by their PLM/ERP vendor, explaining why their system is the only system that can do the job.
Interesting enough the most read posts on my blog are about the MBOM, the ETO, BTO and CTO processes. This illustrates there is a need for a proper, vendor-independent and global accepted terminology for PLM
Some educational posts:
Bill of Materials for Dummies – ETO ranked #1
ECR/ECO for Dummies ranked #2
BOM for Dummies – CTO ranked #4
BOM for Dummies: BOM and CAD ranked #7
The dominance of ERP
As ERP systems were introduced long before PLM (and PDM), these systems are often considered by the management of a mid-market company as the core. All the other tools should be (preferably) seen as an extension of ERP and if possible, let´s implement ERP vendor´s functionality to support PLM – the Swiss knife approach – one tool for everything. This approach is understandable as at the board level there are no PLM discussions. Companies want to keep their “Let´s do it”-spirit and not reshuffle or reorganize their company, according to modern insights of sharing. Strangely enough, you see in many businesses the initiative to standardize on a single ERP system first, instead of standardizing on a single PLM approach first. PLM can bring the global benefits of product portfolio management and IP-sharing, where ERP is much more about local execution.
PLM is not understood at the board level, still considered as a tool
Some post related to PLM and ERP
Where is the MBOM ? ranked #3
The human factor
A lot of the reasons why PLM has the challenge to become successful have to do with its broad scope. PLM has an unclear definition and most important, PLM forces people to share data and work outside their comfort zones. Nobody likes to share by default. Sharing makes day-to-day life more complicated, sharing might create visibility on what you actually contribute or fix. In many of my posts, I described these issues from various viewpoints: the human brain, the innovators dilemma, the way the older generation (my generation) is raised and used to work. Combined with the fact that many initial PLM/PDM implementations have created so many legacies, the need to change has become a risk. In the discussion and selection of PLM I have seen many times that in the end a company decides to keep the old status quo (with new tools) instead of really having the guts to move toward the future. Often this was a result of investors not understanding (and willing to see) the long term benefits of PLM.
PLM requires a long-term vision and understanding, which most of the time does not fit current executive understanding (lack of education/time to educate) and priority (shareholders)
Many recent posts are about the human factor:
The digital transformation
The final and most significant upcoming change is the fact that we are entering a complete new era: From linear and predictable towards fast and iterative, meaning that classical ways we push products to the market will become obsolete. The traditional approach was based on lessons learned from mechanical products after the second world-war. Now through globalization and the importance of embedded software in our products, companies need to deliver and adapt products faster than the classical delivery process as their customers have higher expectations and a much larger range to choose from. The result from this global competitiveness is that companies will change from delivering products towards a more-and-more customer related business model (continuous upgrades/services). This requires companies to revisit their business and organization, which will be extremely difficult. Business wise and human change require new IT concepts – platform? / cloud services? / Big data?
Older enterprises, mid-market and large enterprises will be extremely challenged to make this change in the upcoming 10 years. It will be a matter of survival and I believe the Innovator´s Dilemma applies here the most.
The digital transformation is apparent as a trend for young companies and strategic consultants. This message is not yet understood at the board level of many businesses.
Some recent post related to this fast upcoming trend:
ROI (Return On Investment)
I also wrote about ROI – a difficult topic to address as in most discussions related to ROI, companies are talking about the costs of the implementation, not about the tremendous larger impact a new business approach or model can have, once enabled through PLM. Most PLM ROI discussions are related to efficiency and quality gains, which are significant and relevant. However these benefits are relative small and not comparable with the ability to change your business (model) to become more customer centric and stay in business.
Some of the ROI posts:
A (too) long post this time however perhaps a good post to mark 7 years of blogging and use it as a reference for the topics I briefly touched here. PLM has many aspects. You can do the further reading through the links.
From the statistics it is clear that the education part scores the best – see rankings. For future post, let me know by creating a comment what you are looking for in this blog: PLM Mid-Market, Education, PLM and ERP, Business Change, ROI, Digitalization, or …??
Also I have to remain customer centric – thanks for reading and providing your feedback
I was sitting outside in the garden during Ascension Day, which is (still) a national holiday in the Netherlands (Thanks God). It was again nice and warm, and it made me think about the parallels between Global warming and PLM.
Climate change has always been there if we look at the history of our planet. We started to talk about Global Warming when scientist indicated that this time the climate change is caused by human intervention. As a result of vast amounts of carbon dioxide emissions, a greenhouse effect started to become visible. When the first rumors came that global warming began to come up, environmentalists started preaching we have to act NOW before it is too late. Meanwhile at the other side, people began arguing that it was just a coincidence, an opinion.
There is no scientific proof, so why worry?
In the past ten years, the signs and proofs of global warming have become evident and climate conferences filled with people who want to act and on the other side the blockers, try to create progress in the battle against global warming. In particular in Europe governments and companies are starting to become aware that they can contribute to a more sustainable society.
Not enough according to the environmentalists and scientists. As our brains still operate mostly in a prehistoric mode (day-to-day survival, food, home, social status), slow changes and sustainability for next generations are not part of most people concerns. And those people, who make us aware of this lack of priority for sustainability, are considered annoying as they disrupt our lives.
Companies that have invested (heavily) in sustainable business models often have a challenging path to survive against traditional businesses. As the majority of consumers wants cheap. Some examples:
- Energy: most power plants are heated by burning coal as this is the cheapest option. Shale gas winning became attractive because we need cheap fuel. Alternatives like solar, wind and others cannot compete on price level as long as we do not pay for the damage to nature.
- Food: produced in bio-farms, where animal wellness or health is not part of the plan. The goal is to deliver xx kilos of meat for the lowest price. Alternative like more natural ways of growing meat or even revolutionary ways (the grown hamburger) cannot compete on price currently unless we are willing to pay for it.
- The Fashion industry where down in its supply chains human beings are treated like slaves. When you buy a cheap garment, you know somebody has been suffering.
Governments sometimes subsidize or push sustainable technologies as they realize that something has to happen (most of the time for the public opinion – their voters) but there is no consistent strategy as liberals believe every form of support is against open competition. And as long as we let our prehistoric brain run our choices, the earth gets warmer with the consequences being visible more and more.
We know we have to act, but we do not act seriously
Now let´s switch to PLM. The association started when I saw Chad Jackson’s retweet from Lifecycle insights related to top PLM challenges.
Clearly the message illustrates that costs, time, and technology have priority. Not about what PLM really can establish (even in the context of global warming).
PLM started end of the previous century, initially invented by some of the major CAD vendors, Dassault Systemes, PTC, and Siemens. Five years later it was taken more seriously, as also enterprise software vendors, like SAP and Oracle, started to work on their PLM offering. And some years ago even the most skeptic company related to PLM, Autodesk, began to sell a PLM offering.
So like global warming we can conclude: PLM is recognized, and now we can act.
The early adopters of PLM are also in a challenging situation. Their first PLM implementations were very much focused on an IT-infrastructure, allowing data to flow through a global organization, without disrupting the day-to-day business model too much. These implementations are now a burden to many of them: costly and almost impossible to change. Look at the PLM stories from some of the major automotive companies, like Daimler, JLR, PSA, Renault, , Volvo Cars and more.
They are all somehow kept hostage by their old implementations (as business continues) however due to changing ownership, business models and technology they cannot benefit from modern PLM concepts as it would be a disruption.
Meanwhile, PLM has evolved from an IT-infrastructure into a business-driven approach to support global, more flexible and customer-driven business processes. Younger companies that are now starting in Asia do not suffer from this legacy and are faster established based on the know-how from the early adopters.
And this is not only happing in the automotive industry. In the recent years, I have seen examples in the Oil & Gas industry, the High-Tech industry (which in theory is relative young) and the Manufacturing industry.
Coming back to the 2015 PLM challenges tweeted by Chad Jackson, it looks like they are related to time and costs. Obviously it is not clear what values PLM can bring to a company outside efficiency gains (ERP/Lean thinking). Modern PLM allows companies to change their business model as I wrote recently: From a linear to fast and circular. No longer is the PLM mission to support companies with product information from cradle to grave but from cradle to cradle. Sustainability and becoming connected to customers are new demands: Operational services instead of selling products, linking it with the need for IoT to understand what is happening.
In the 2015 PLM, the discussion with executives is about purchasing technology instead of the need to change our business for long-term survival. Most investors do not like long-term visions as their prehistoric brains are tuned to be satisfied in the short-term.
Therefore, as long as the discussion about PLM is about IT and infrastructure and not about business change, there will be this stall, identical to what happens with addressing global warming. Short term results are expected by the stakeholders, trying to keep up the current model. Strategists and business experts are all talking about the new upcoming digital era, similar to global warming.
We know we have to act, but we do not act seriously
When I posted a short version of this post on LinkedIn on Ascension Day, I got some excellent feedback which I want to share here:
Dieter de Vroomen (independent advisor, interim manager & neighbor) wrote me an email. Dieter does not have a PLM-twisted brain. Therefore I like his opinion:
PLM and Global Warming are both assumptions, mental constructs that we can make plausible with technology and data. Both mindsets save us from disasters through the use of technology. And that’s what both sell. But is that what they produce, what we want? Apple and associates think vice versa, making what first we want and explain later the underlying technology. I miss that with global warming, but certainly PLM. That’s why it sells so bad CxO’s.
I think the point Dieter is making is interesting as he is a non-PLM guy -showing the way CxO might be thinking. As long as we (PLMers) do not offer a packaged solution, an end-to-end experience, it is hard to convince the C-level. This is one of the significant differences between ERP (its purpose is clearly is tangible) and PLM (see my post PLM at risk! It does not have a clear target).
A more motivating comment came from Ben Muis, consultant and entrepreneur in the fashion industry. We met at the PI Apparel 2013 conference, and I like his passion for bringing innovation to the fashion industry. Read his full comments on my post on LinkedIn as he combined in his career sustainability and PLM. Two quotes from Ben:
As you may know I did quite a bit of work on how the fashion industry could and should be more sustainable in its approach. This was at a time where only a handful of people at best were willing to even think about this. Knowing that in reality the decisions around cost and commercialism were driving the agenda, I drew the conclusion that by improving processes within the industry I could actually cause a sustainability improvement that was driven by commercial desire.
Explaining how you can become involved in the bigger picture and for Ben it is the possibility to keep on working on his passion in a real-time world. And finally:
So there you have it… my reasons for initially thinking your title was very close to the reason I shifted my focus from pure sustainability advice to PLM implementations to begin with. I could drive a real result much quicker. This, as I am sure you will agree, in itself supports the reason for taking PLM seriously
The topics PLM and Global Warming have a lot in common. The awareness exists. However when it comes to action, we are blocked by our prehistoric brain, thinking about short term benefits. This will not change in the next 1000 years. Therefore, we need organizations and individuals that against all odds take the steep path and have a vision of change, breaking the old models and silos. It will cost money, it will require a sacrifice and the reward will only be noticed by next generations. What a shame
A final quote before going back to standard PLM matter in upcoming posts:
“Everything is theoretically impossible, until it is done.”
Robert A. Heinlein
Did I choose the wrong job? Busy times still and the past 15 years I have focused on PLM and every year I had the feeling there was progress in the understanding and acceptance for PLM. Although the definition of PLM is a moving target, there are probably thousands of PLM experts around the world. From my recent blog posts, the past two years you might share my opinion that PLM is changing from an engineering, document-centric system towards a beyond PLM approach where a data-driven, federated platform leads to (yet unknown) benefits.
So where to draw the border of PLM?
Is there a possibility that somewhere a disruptive approach will redefine PLM again? PLM is considered complex (I don´t think so). The complexity lies first of all in the rigidness of PLM systems not being able to excite people. Next the desires from implementers to provide services to satisfy users and, as a result, make it more complicated. Finally and the most important reason the lack of understanding that implementing PLM requires a business change.
Change (don´t mention the word), which does not happen overnight.
Oleg Shilovitsky wrote about PLM and organizational change. He is leaving it for further discussion if the difficulty is related to the PLM technology or the resistance towards change for people in business. Read his conclusion:
Change is hard. We should re-think the way we implement PLM and exclude process alignment from PLM implementation. Stop changing people and stop forcing people to take complicated decisions during PLM sales process. Future PLM products will become a foundation for agile change management that will be done by companies.
Edward Lopategui is even more provocative in his blog post: The PLM Old Fart Paradox. Have a read of his post including the comments. Edward is somehow sharing the same belief, stating PLM has an identity crisis
PLM has an identity crisis. Talking PLM at a random networking event tends to engender one of two reactions. The first is from anyone who recognizes the acronym, spent 5 years consulting for company X, and begins a vigorous head-nod that instills fear their neck may unhinge in agreement. The other reaction is quite the opposite; you can almost sense a capillary dilation of the so-called blush response. Fluctuation of the pupil… Involuntary dilation of the iris… it’s the Voight-Kampff test for interest expiring at the mere utterance of the acronym. You don’t get this kind of reaction when you talk Cloud or Internet of Things, which while overused, tend to at least solicit questions and interest among the uninitiated. There’s public relations work to be done.
Both Oleg and Edward believe that new technology is needed to overcome the old PLM implementation issues: a need for change, a need to break down the silos.
Meanwhile in Europe
Meanwhile in Europe, an international research foundation for PLM (http://www.plm-irf.org/) has been initiated and is making itself heard towards the United States. What is the mission of this research foundation? To define the future of PLM. Read the opening statement:
The PLM International Research Foundation (PLM-IRF) initiative aims to establish a central mechanism to support global research into the most advanced future capabilities of PLM.
This is the first initiative ever to ask the question:
What research does the world need, to achieve the future PLM capabilities that the world wants?”
This simple question highlights that fact that the PLM industry needs coherent view of the future. Without a clear sense of direction, PLM development is likely to fall far short of what it could be.
I consider this as a mission impossible. In May this year I will be blogging for seven years about PLM and looking back to my early posts the world was different. Interesting some of the predictions (PLM in 2050 – predictions done in 2008) I made in the past are still valid however for every right prediction there might be a wrong one too.
And now this International Research Foundation is planning to define what PLM should offer in the future?
What happens if companies do not agree and implement their business approach? It reminded me of a keynote speech given by Thomas Schmidt (Vice President, Head of Operational Excellence and IS – ABB’s Power Products Division) at PLM Innovation 2012 (my review here). Thomas was challenging the audience explaining what ABB needed. Quoting Thomas Schmidt:
“And if you call this PLM, it is OK for me. However, current PLM systems do not satisfy these needs.”
So you can imagine the feeling I got: PLM has an identity crisis.
Or do I have an identity crisis?
I believe we are in a transition state where companies have to redefine their business. I described this change in my earlier post: From Linear to fast and circular. Implementing this approach first of all requires a redefinition of how organizations work. Hierarchical and siloed organizations need to transform towards flat, self-adapting structures in order to become more customer-centric and reactive to ever faster-changing market needs.
For that reason, I was surprised by a presentation shared by Chris Armbruster that same week I read Oleg´s and Edward´s posts. In many ways, Chris and I come from the opposite sides of PLM.
My background European, with a classical start from engineering, a focus on the mid-market. Chris according to his Slideshare info, US-based, Supply Chain Executive and focus on the Fortune 500.
Have a look at Chris´s presentation – rethinking business for Exponential times. It is amazing that two persons not connected at all can come to the same conclusions.
This should be an indication there is a single version of the truth!
You might say PLM has an identity crisis. We do not need a better definition of PLM to solve this. We need to change our business model and then define what we need. PLM, ERP, SLM, MES, SCM, ….. There are enough unused TLAs for the future. And I am still happy with my job.
… and you ? Looking for a new job or changing too ?