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Business is changing and becoming digital as you might have noticed. If you haven´t noticed it, you might be disconnected from the world or work in a stable silo. A little bit simplified and provocative otherwise you would not read further.
The change towards digital also has its effect on how PLM is evolving. Initially considered as an extension of PDM, managing engineering data, slowly evolving to an infrastructure to support the whole product lifecycle.
The benefits from a real PLM infrastructure are extremely high as it allows people to work smarter, identify issues earlier and change from being reactive towards proactive. In some industries, this change in working is they only way to stay in business. Others with still enough margin will not act.
Note: I am talking about a PLM infrastructure as I do not believe in a single PLM system anymore. For me PLM is supported through a collection of services across the whole product lifecycle, many potentially in one system or platform.
Changing from an engineering-centric system towards an infrastructure across the departmental silos is the biggest challenge for PLM. PLM vendors and ERP vendors with a PLM offering are trying provide this infrastructure and mainly fight against Excel. As an Excel file can easy pass the border from one department to the other. No vision needed for Excel.
A PLM infrastructure however requires a vision. A company has to look at its core business processes and decide on which information flows through the organization or even better their whole value chain.
Building this vision, understanding this vision and then being able to explain the vision is a challenge for all companies. Where sometime even management says
“Why do we need to have a vision, just fix the problem”
also people working in departments are not looking forward to change their daily routines because they need to share information. Here you here statements like
“Why people feel the need to look at the big picture. I want to have my work done.”
So if current businesses do not change, will there be a change?
Here I see the digital world combined with search-based applications coming up. Search based applications allow companies to index their silos and external sources and get an understanding of the amount of data there exists. And from these results learn that there is a lot of duplicated data or invalid information at different places.
This awareness might create the understanding that if instead of having hundred thousands of Excels in the organization, it would be better to have the data inside a database, uniquely stored and connected to other relevant information.
Next if you want to understand it in a more down-to-earth manner it is important to listen and talk with your peers from other companies, other industries. This is currently happening all around the world and I invite you to participate.
Here is a list of events that I am attending or planned to attend but too far away:
Here I will participate as a panel member in the discussion around the concept of zero files. Here we want to explain and discuss to the audience what a data-centric approach means for an organization. Also, customers will share their experiences. This conference is focusing on the ENOVIA community – you can still register here
Here I will speak about the PLM future (based on data) and what PLM should deliver for the future generations. This conference is much broader and addresses all PLM related topics in a broader perspective
Relative new in the Nordics Infuseit, a PLM consultancy company, is able to attract an audience that wants to work on understanding the PLM future. Instead of listening to presenters, here you are challenged to to discuss and contribute to build a common opinion. I will be there too.
Conclusion: It is time to prepare yourself for the change – it is happening and be educated an investment that will be rewarding for your company
What do you think – Is data-centric a dream ?
In my previous post, I talked about the unstoppable trend towards digital information and knowledge based on data becoming the new business paradigm.
Building knowledge based on information extracted from data, instead of working with documents and people, who need to manipulate these documents.
Moreover, the reasons to move towards a digital data-oriented approach are the immense business benefits it can bring to an organization. Having online visibility on information in context of other information from different stakeholders allows companies to be more proactive.
A proactive company will react faster to the market or customer. This will reduce waste and resources (materials / people) and therefore in the end be more competitive. This is all described in my first post, with relevant links to various global references.
In this post, I want to describe in an example what the differences are between a document-oriented and a data-oriented approach and how it affects people and business. This might give you an impression of the expected business benefits.
The ultimate goal behind a data-oriented approach is to have a single version of the truth for a product, project or plant. This can be realized by treating information as data elements in various connected database, where on demand reports or dashboards can be created based on actual information, instead of documents generated by duplicating data in new systems and locations. Digital data will provide paperless processes accessible almost anywhere around the world.
As an example, I will explain the difference between document-centric and data-centric when dealing with specifications.
Everyone knows the challenge with specifications. Most of the time in printed documents describing how a product or service should work from the client point of view. There are two principles behind specifications:
- Complexity. The more complex product or service is, the bigger chance that specifications are not complete or hundred percent understood, leading to an iterative change process. The challenge here is to manage the change and the consistency of the full specifications.
- Industry and margins. In a repetitive business, for example, the automotive or other mass consumer products, products can be quiet complex and once sold hard to maintain and repair. In a competitive business, an error in the field can consume a lot of the expected profit. In the construction industry, where most of the time single projects are executed by a chain of disciplines, the industry (still) accepts the costs overrun and the high costs of fixing issues in the field, instead of being clearer upfront during the design and planning.
Let’s stay with the example in the middle of complexity and industry volume. In color the various stages of the process.
The document based specification – 1
When the document based specification arrives, the company has to get an understanding of the content. The project manager has a first read through the document (100+ pages) and decides to send the document (it is a pdf) to sales, engineering, legal and planning. Engineering decides to distribute the document internally to mechanical, electrical and quality (for compliance).
The project manager stresses everyone on a weekly base to deliver the responses and tries to understand if the answers will come in time. There are some meetings needed with the stakeholders as the whole understanding needs to be consistent. Based on several iterations a response is compiled.
The data-oriented approach – 1
When the document based specification arrives, the project leader first stores the document as a reference in the PLM system and extracts all the customer requirements as data elements in the system. While extracting the requirements, the projects manager groups them into digital folders (functional / non-functional, contractual, regulations, etc.) and assigns them to the relevant stakeholders, who get notified by the system. Each of the persons assigned, again the engineering manager has distributed the discipline specific requirements internally.
The project manager watches the progress of the requirements analyses which are around a virtual model. There is still a need for meetings with the stakeholders to agree on the solution approach. Everything is stored and visible online in the system. This visibility has helped some of the stakeholders to be better-aligned upfront. In the end, the response is generated and converted to the customer’s format.
Not much benefit for step 1
If you compare the two approaches, there is mainly one person happy: the project manager. Instead of spending time to collect the status of all information, direct visibility on the response helps him/her to prioritize of focus where attention is needed, instead of discovering it on a weekly base.
There is some small benefit from the virtual model as other stakeholders can have a better understanding of the actual progress.
However, for the rest, all stakeholders are complaining. It is difficult to work. (Fl)Excel was much easier. Moreover, thinking about a virtual model takes time as we are not used working in this way. Typically something for aerospace you might think.
And now the benefits come – step 2
The customer has placed the order, and the project has started. The design has started, and people start to discover discrepancies or ambiguous demands that need to be negotiated with the customer. Is it part of the project and if not, should it become part of the project and at which costs (for whom)
The document oriented approach – 2
Several engineers are now discussing with the counterparts at the customer the detailed interpretation of the requirements, either through face-to-face meetings or emails. Changes are collected and sent to the project manager, who tries to understand what has changed and how to merge it in an on-going specification document. To avoid many revisions, he/she tries to update the document on a bi-weekly base, send it to the internal stakeholders for review and with their feedback generates a specification document for the customer that supposed to cover the latest agreements.
Unfortunate not all changes have reached the document as some of the stakeholders were busy and forgot to include some of the changes agreed with the customer as they were in a lost email. Also, a previous change of a requirement was overwritten as an update from quality used the old data. Finally, some design solutions were changed, which raised the costs. And not sure if the product with all its changes will be compliant after delivery. However, luckily nobody noticed so far, not even the customer
The data-oriented approach – 2
Thanks to the virtual model and the relations between all the requirements, any change in a requirement gets notified in the system. When a requirement is further clarified, it is updated in the system. When a requirement needs to be changed, it is clear what the impact of this change is. A change workflow assures that decisions are made visible and approved. Potentially changes that lead to more work were quoted to the customer for acceptance. Luckily the compliancy engineer noted that the change of materials used would lead to a compliancy issue. On a bi-weekly base, the project manager generates an agreed specification for the customer based on the data in the system.
Benefits are growing.
The project manager remains the happiest person and is even happier as less discussion is needed about who changed what and why. Alternatively, discussions about changes that should exist and cannot be found. The time saved by the project manager could be used to collaborate even better with the teams (without annoying them) or perhaps a second project to manage in parallel.
Other stakeholders start to enjoy the data-oriented approach too. Less ambiguity on their side too, fewer iterations because changes were not apparent. As all information is related to the virtual model online, the actual status is clear when making a decision. Less fixing afterwards and luckily still project meeting between the stakeholders to synchronize. The PLM system does not eliminate communication; it provides a reliable baseline of the truth. No need (and option) to look in your archives.
At this stage, benefits start to become clear. Fewer iterations and better decisions will have an impact on the costs and project stress. Still a complaint from the engineers might be that they need to do too much upfront thinking although some years later they might discover that this will be their main job. Fixing issues from the past have diminished.
And then the ultimate benefits
Now the project has reached the physical state. It is manufactured or under commissioning.
The document oriented approach – 3
In the document oriented approach, many issues might pop-up because they have not been considered in the early phase, or they got lost during document exchanges. Does the product work as specified? Is the building certified as specified?
The customer is king and for manufacturing companies this might lead to product recalls or launch delays. In the construction world, people in the field, will fix the issues by using skilled resources and creating a waste of materials and/or resources.
Data handover to the owner is a nightmare for a the project-centric delivery. Several people have been searching for documents, specifications and emails to build and compile the required documents for handover.
The data-oriented approach – 3
In the data-centric approach, the behavior of the physical product works as expected as most of the issues have been solved in the virtual model. When testing the product it works as specified as the specifying requirements have always been linked to the product. Moreover, they have been agreed and approved by the relevant stakeholders. Where relevant, the customer has paid for the extra work specified.
The handover process was not so stressful as before with the document-oriented approach. As the required information was known and specified upfront related to the requirements, the maturity process of the virtual model assured this data exists in the system. Now the as-built information matches the as-specified information. What a relief.
It is clear that the significant benefits can be found in step 3. I wrote the comparison in an extreme manner, knowing that reality lies in the middle. Excellent people can comprehend and fix more upfront because of their experience. Building the ultimate virtual model is not yet an easy achievement either.
The savings in materials and required resources are significant in a data-oriented approach. The time savings and the quality enhancements might change your company into a market-leader. The cost savings achieved through a pro-active approach will make your margin growing (unless competition does the same) and enable you to innovate.
One final remark on business change
However, if you change to a data-centric approach, it will be a though change process and therefore once implemented you will leave competitors behind that keep on hanging on the past.
My holidays are over. After reading and cycling a lot, it is time to focus again on business and future. Those of you who have followed my blog the past year must have noticed that I have been talking on a regular base about business moving to a data-oriented approach instead of a document / file-based approach. I wrote an introduction to this topic at the beginning of this year: Did you notice PLM has been changing?
This year I have had many discussions around this topic with companies acting in various industries; manufacturing, construction, oil & gas, nuclear and general EPC-driven companies. There was some commonality in all these discussions:
- PLUS: Everyone believes it is a beautiful story and it makes sense
- MINUS: Almost nobody wants to act upon it as it is an enormous business change and to change the way a company works you need C-level understanding
- PLUS: Everyone thinks the concept is clear to them
- MINUS: Few understand what it means to work data-oriented and what the impact on their business would be
Therefore, what I will try to do in the upcoming blog posts (two-three-four ??) is to address the two negative observations and how to make them more precise.
What is data / information / knowledge?
Data for me is a collection of small artifacts (numbers, characters, lines, sound bits, …) which have no meaning at all. This could be bundled together as a book, a paper drawing, a letter but also bundled together as a digital format like an eBook, a CAD file, an email and even transmission bytes of a network / internet provider can be considered as data.
Data becomes significant once provided in the context of each other or in the context of other data. At that time, we start calling it information. For that reason, a book or a drawing provides information as the data has been structured in such a manner to become meaningful. The data sent through the network cable only becomes information when it is filtered and stripped from the irrelevant parts.
Information is used to make decisions based on knowledge. Knowledge is the interpretation of information, which combined in a particular way, helps us to make decisions. And the more decisions we make and the more information we have about the results of these decisions, either by us or other, it will increase our knowledge.
Data and big data
Now we have some feeling about data, information and knowledge. For academics, there is room to discuss and enhance the definition. I will leave it by this simple definition.
Big data is the term for all digital data that is too large to handle in a single data management system, but available and searchable through various technologies. Data can come from any source around the world as through the internet an infrastructure exists to filter and search for particular data.
By analyzing and connecting the data coming from these various sources, you can generate information (placing the data in context) and build knowledge. As it is an IT-driven activity, this can be done in the background and give almost actual data to any person. This is a big difference with information handling in the old way, where people have to collect and connect manual the data.
The power of big data applies to many business areas. If you know how your customers are thinking and associating their needs to your products, you can make them better and more targeted to your potential market. Or, if you know how your products are behaving in the field during operation (Internet of Things) you can provide additional services, instant feedback and be more proactive. Plus the field data once analyzed provide actual knowledge helping you to make better products or offer more accurate services.
Wasn’t there big data before?
Yes, before the big data era there was also a lot of information available. This information could be stored in “analogue” formats ( microfiche, paper, clay tablets, papyrus) or in digital formats, better known as files or collections of files (doc, pdf, CAD-files, ZIP….).
Note the difference. Here I am speaking about information as the data is contained in these formats.
You have to open or be in front of information container first, before seeing the data. In the digital world, this is often called document management, content management. The challenge of these information containers is that you need to change the whole container version once you modify one single piece of data inside it. And each information container holds duplicated information from a data element. Therefore, it is hard to manage a “single version of the truth” approach.
And here comes the data-oriented approach
The future is about storing all these pieces of data inside connected data environments, instead of storing a lot of data inside a (versioned) information container (a file / a document).
Managing these data elements in the context of each other allow people to build information from any viewpoint – project oriented, product oriented, manufacturing oriented, service oriented, etc.
The data remains unique, therefore supporting much closer the single version of the truth approach. Personally I consider the single version of the truth as a utopia, however reducing the amount of duplicated data by having a data-oriented approach will bring a lot more efficiency.
In my next post, I will describe an example of a data-oriented approach and how it impacts business, both from the efficiency point of view and from the business transformation point of view. As the data-oriented approach can have immense benefits . However, they do not come easy. You will have to work different.
Some more details
An important point to discuss is that this data-oriented approach requires a dictionary, describing the primary data elements used in a certain industry. The example below demonstrates a high-level scheme for a plant engineering environment.
Data standards exist in almost any industry or they are emerging and crucial for the longevity and usage of the data. I will touch it briefly in one of the upcoming posts, however, for those interested in this topic in relation to PLM, I recommend attending the upcoming PDT Europe. If you look at the agenda there is a place to learn and discuss a lot about the future of PLM.
I hope to see you there.
In my previous post, I wrote about the different ways you could look at Service Lifecycle Management (SLM), which, I believe, should be part of the full PLM vision. The fact that this does not happen is probably because companies buy applications to solve issues instead of implementing a consistent company wide vision (When and Where to start is the challenge). Oleg Shilovitsky just referred one more time to this phenomena – Why PLM is stuck in PDM.
I believe PLM as the enterprise information backbone for product information. I will discuss the logical flow of data that might be required in a PLM data model, to support SLM. Of course all should be interpreted in the context of the kind of business your company is in.
This post is probably not the easiest to digest as it assumes you are somehow aware and familiar with the issues relevant for the ETO (Engineering To Order) /EPC (Engineering Procurement Construction) /BTO (Build To Order) business
A collection of systems or a single device
The first significant differentiation I want to make is between managing an installation or a single device as I will focus only on installations.
An installation can be a collection of systems, subsystems, equipment and/or components, typically implemented by companies that deliver end-to-end solutions to their customers. A system can be an oil rig, a processing production line (food, packages, …), a plant (processing chemicals, nuclear materials), where maintenance and service can be performed on individual components providing full traceability.
Most of the time a customer specific solution is delivered to a customer, either direct or through installation / construction partners. This is the domain I will focus on.
I will not focus on the other option for a single device (or system) with a unique serial number that needs to be maintained and serviced as a single entity. For example a car, a computer device. Usually a product for mass consumption, not to be traced individually.
In order to support SLM at the end of the PLM lifecycle, we will see a particular data model is required which has dependencies on the early design phases.
Let´s go through the lifecycle stages and identify the different data types.
The concept / sales phase
In the concept/sales phase the company needs to have a template structure to collect and process all the information shared and managed during their customer interaction.
In the implementations that I guided, this was often a kind of folder structure grouping information into a system view (what do we need), a delivery view (how and when can we deliver), a services view (who does what ) and a contractual view (cost, budget, time constraints). Most of these folders had initially relations to documents. However the system view was often already based on typical system objects representing the major systems, subsystems and components with metadata.
In the diagram, the colors represent various data types often standard available in a rich PLM data model. Although it can be simplified by going back to the old folder/document approach shared on a server, you will recognize the functional grouping of the information and its related documents, which can be further detailed into individual requirements if needed and affordable. In addition, a first conceptual system structure can already exist with links to potential solutions (generic EBOMs) that have been developed before. A PLM system provides the ideal infrastructure to store and manage all data in context of each other.
The Design phase
Before the design phase starts, there is an agreement around the solution to be delivered. In that situation, an as-sold system structure will be leading for the project delivery, and later this evolved structure will be the reference structure for the as-maintained and as-services environment.
A typical environment at this stage will support a work breakdown structure (WBS), a system breakdown structure (SBS) and a product breakdown structure (PBS). In cases where the location of the systems and subsystems are relevant for the solution, a geographical breakdown structure (GBS) can be used. This last method is often used in shipbuilding (sections / compartments) and plant design (areas / buildings / levels) and is relevant for any company that needs to combine systems and equipment in shared locations.
The benefit of having the system breakdown structure is that it manages the relations between all systems and subsystems. Potentially when a subsystem will be delivered by a supplier this environment supports the relationship to the supplier and the tracking of the delivery related to the full system / project.
Note: the system breakdown structure typically uses a hierarchical tag numbering system as the primary id for system elements. In a PLM environment, the system breakdown elements should be data objects, providing the metadata describing the performance of the element, including the mandatory attributes that are required for exchange with MRO (Maintenance Repair Overhaul) systems.
Working with a system breakdown structure is common for plant design or a asset maintenance project and this approach will be very beneficial for companies delivering process lines, infrastructure projects and other solutions that need to be delivered as a collection of systems and equipment.
The delivery phase
During the delivery phase, the system breakdown structure supports the delivery of each component in detail. In the example below you can see the relation between the tag number, the generic part number and the serial number of a component.
The example below demonstrates the situation where two motors (same item – same datasheet) is implemented at two positions in a subsystem with a different tag number, a unique serial number and unique test certificates per motor.
The benefit of a system breakdown structure here is that it supports the delivery of unique information per component that needs to be delivered and verified on-site. Each system element becomes traceable.
The maintenance phase
For the maintenance phase the system breakdown structure (or a geographical breakdown structure) could be the place holder to follow up the development of an installation at a customer site.
Imagine that, in the previous example, the motor with tag number S1.2-M2 appears to be under dimensioned and needs to be replaced by a more powerful one. The situation after implementing this change would look like the following picture:
Through the relationships with the BOM items (not all are shown in the diagram), there is the possibility to perform a where-used query and identify other customers with a similar motor at that system position. Perhaps a case for preventive maintenance?
Note: the diagram also demonstrates that the system breakdown structure elements should have their own lifecycle in order to support changes through time (and provide traceability).
From my experience, this is a significant differentiator PLM systems can bring in relation to an MRO system. MRO and ERP (Enterprise Resource Planning)systems are designed to work with the latest and actual data only. Bringing in versioning of assets and traceability towards the initial design intent is almost impossible to achieve for these systems (unless you invest in a heavy customized system).
In this post and my previous post, I tried to explain the value of having at least a system breakdown structure as part of the overall PLM data model. This structure supports the early concept phase and connects data from the delivery phase to the maintenance phase.
Where my mission in the past 8 years was teaching non-classical PLM industries the benefits of PLM technology and best practices, in this situation you might say it is where classical BTO companies can learn from best practices from the process and oil & gas industry.
Note: Oleg just published a new blog post: PLM Best Practices and Henry Ford Mass Production System where he claims PLM vendors, Service partners and consultants like to sell Best Practices and still during implementation discover mass customization needs to be made to become customer specific, therefore, the age of Best Practices is over.
I agree with that conclusion, as I do not believe in an Out-Of-The-Box approach, to lead a business change.
Still Best Practices are needed to explain to a company what could be done and in that context without starting from a blank sheet.
Therefore I have been sharing this Best Practice (for free)
The last month I haven’t been able to publish much of my experiences as I have been in the middle of several PLM selection processes for various industries. Now in a quiet moment looking back, I understand it is difficult for a company to choose a PLM solution for the future.
I hope this post will generate some clarity and may lead to some further discussion with other experts in the audience. I wrote about the do’s and don’ts of PLM selection in 2010, and most of it is still actual; however, there is more. Some of the topics explained:
Do you really need PLM ?
This is where it starts. PLM is not Haarlemerolie, an old Dutch medicine that was a cure for everything since the 17th century. The first step is that you need to know what you want to achieve and how you are aiming to achieve it. Just because a competitor has a PLM system installed, does not mean they use it properly or that your company should do it too. If you do not know why your company needs PLM, stop reading and start investigating.
If you are still reading this, you are part of the happy few, as justifying the need for PLM is not easy. Numerous of companies have purchased a PLM system just because they think they needed PLM. Or there was someone convinced that this software would bring PLM.
Most of these cases there was the confusion with PDM. Simply stating: PDM is more a departmental tool (engineering – multidisciplinary) where PLM is a mix of software, infrastructure to connect all departments in a company and support the product through its entire lifecycle.
Implementing “real” PLM is a business change, as people have to start sharing data instead of pushing documents from department to department. And this business transformation is a journey. It is not a fun journey, nicely characterized in Ed Lopategui’s blog post, the PLM Trail.
Although I believe it is not always that dramatic, Ed set the expectations right. Be well prepared before you start.
Why do companies still want PLM, while it is so difficult to implement?
The main reason is to remain competitive. If margins are under pressure, you can try to be more efficient, get better and faster tools. But by working in the old way, you can only be a little better.
Moving from a sequential, information pushing approach towards an on-line, global information sharing manner is a change in business processes. It is interaction between all stakeholders. Doing things different requires courage, understanding and trust you made the right choice. When it goes wrong, there are enough people around you to point fingers at why it went wrong – hindsight is so easy.
Doing nothing and becoming less and less competitive is easier (the boiling frog again) as in that case the outside world will be blamed, and there is nobody to point fingers at (although if you understand the issue you should make the organization aware the future is at stake)
Why is PLM so expensive?
Assuming you are still reading, and you and your management are aligned there is a need for PLM, a first investigation into possible solutions will reveal that PLM is not cheap.
When you calculate the overall investment required in PLM, the management often gets discouraged by the estimated costs. Yes, the benefits are much higher, but to realize these benefits, you need to have a clear understanding of your own business and a realistic idea how the future would look like. The benefits are not in efficiency. The main benefits come from capabilities that allow you to respond better and faster than by just optimizing your departments. I read a clarifying post recently, which is addressing this issue: Why PLM should be on every Executive’s agenda !
From my experience with PLM projects, it is surprising to learn that companies do not object to spend 5 to 20 times more money for an ERP implementation. It is related to the topic: management by results or management by means.
PLM is not expensive compared to other enterprise systems. It can become expensive (like ERP implementations) if you lose control. Software vendors have a business in selling software modules, like car resellers have a business in selling you all the comfort beyond the basics.
The same for implementation partners, they have a business in selling services to your company, and they need to find the balance between making money and delivering explainable value. Squeezing your implementation partner will cause a poor delivery. But giving them an open check means that, at a certain moment, someone will stand up and shutdown the money drain as the results are no longer justifiable. Often I meet companies in this stage, the spirit has gone. It is all about the balance between costs and benefits.
This happens in all enterprise software projects, and the only cure is investing in your own people. Give your employees time and priority to work in a PLM project. People with knowledge of the business are essential, and you need IT resources to implement. Do not make the mistake to leave business uncommitted to the PLM implementation. Management and middle management does not take the time to understand PLM as they are too busy or not educated / interested.
Make business owners accountable for the PLM implementation – you will see stress (it is not their daily job – they are busy), but in the longer time you will see understanding and readiness of the organization to achieve the expected results.
We are the largest – why select the largest ?
When your assignment is to select a new enterprise system, life could be easy for you. Select a product or service from the largest business and your career is saved. Nobody gets blamed for selecting the largest vendor, although if you work for a small mid-sized company, you might think twice.
Many vendors and implementers start their message with:
“…. Market leader in ABC, though leader in XYZ, recognized by 123”
The only thing you should learn from this message is that this company probably has delivered a trustworthy solution in the past. Looking at the past you get an impression of its readiness and robustness for the future. Many promising companies have been absorbed by the larger ones and disappeared. As Clayton Christensen wrote in The Innovators Dilemma:
“What goes up does not go down”.
Meaning these large companies focus on their largest clients and will focus less on the base of the business pyramid (where the majority is), making them vulnerable for disruptive innovation.
Related to this issue there is an interesting post (and its comments), written by Oleg Shilovitsky recently: How many PLM vendors disappear in disruption predicted by Gartner.
Still when selecting a PLM vendor it is essential to know if they have the scale to support you in the future and if they have the vision to guide you into the future.
The future of PLM is towards managing data in a connected manner, not necessary coming from a single database, not necessary using only structured data. If your PLM vendor or implementer is pushing you to realize document and file management, they are years late and not the best for your future.
PLM is a big elephant
PLM is considered as a big elephant, and I agree if you address everything in one shot that PLM can do. PLM has multiple directions to start from – I wrote about it: PLM at risk – it does not have a single job
PLM has a huge advantage compared to a transactional system like ERP and probably CRM. You can implement a PLM infrastructure and its functionality step by step in the organization, start with areas that are essential and produce clear benefits for the organization. That is the main reason that PLM implementations can take 2 – 3 years. You give the organization time to learn, to adapt and to extend.
We lose our flexibility ?
Nobody in an organization likes to be pushed in a cooperate way of working, which by definition is not as enjoyable and as flexible as they way you currently work. It is still an area where PLM implementations can improve: provide the user with an environment that is not too rigid and does not feel like a rigid system. You seen this problem with old traditional large PLM implementations for example with automotive OEMs. For them, it is almost impossible to switch to a new PLM implementation as everything has been built and connected in such a proprietary way, almost impossible to move to more standard systems and technologies. Late PLM implementations should learn from these lessons learned.
PLM vendor A says PLM vendor B will be out of business
One of the things I personally dislike is FUD (Fear, Uncertainty and Doubt). It has become a common practice in politics and I have seen PLM vendors and implementers using the same tactics. The problem with FUD is that it works. Even if the message is not verifiable, the company looking for a PLM system might think there must be some truth in this statement.
My recommendation to a company that gets involved in FUD during a PLM selection process, they should be worried about the company spreading the FUD. Apparently they have no stronger arguments to explain to you why they are the perfect solution; instead they tell you indirectly we are the less worst.
Is the future in the cloud ?
I think there are two different worlds. There is the world of smaller businesses that do not want to invest in an IT-infrastructure and will try anything that looks promising – often tools oriented. This is one of my generalizations of how US businesses work – sorry for that. They will start working with cloud based systems and not be scared by performance, scalability and security. As long all is easy and does not disturb the business too much.
Larger organizations, especially with a domicile in Europe, are not embracing cloud solutions at this moment. They think more in private or on-premise environments. Less in cloud solutions as security of information is still an issue. The NSA revelations prove that there is no moral limit for information in the sake of security – combined with the fear of IP theft from Asia, I think European companies have a natural resistance for storing data outside of their control.
For sure you will see cloud advocates, primarily coming from the US, claiming this is the future (and they are right), but there is still work to do and confidence to be built.
PLM selection often has a focus on checking hundreds of requirements coming from different departments. They want a dream system. I hope this post will convince you that there are so many other thoughts relevant to a PLM selection you should take into account. And yes you still need requirements (and a vision).
Your thoughts ?
- CIMdata Publishes PLM Geography Report (detroit.cbslocal.com)
PLM is a popular discussion topic in various blogs, LinkedIn discussion groups, PLM Vendor web sites and for the upcoming Product Innovation congress in Berlin. I look forward to the event to meet and discuss with attendees their experience and struggle to improve their businesses using PLM.
From the other side talking about pure PLM becomes boring. Sometimes it looks like PLM is a monotheistic topic:
- “What is the right definition of PLM ?” (I will give you the right one)
- “We are the leading PLM vendor” (and they all are)
- A PLM system should be using technology XYZ (etc, etc)
Some meetings with customers in the past three weeks and two different blog posts I read recently made me aware of this ambiguity between boring and fun.
PLM dictating Business is boring
Oleg Shilovitsky´s sequence of posts (and comments) starting with A single bill of materials in 6 steps was an example of the boring part. (Sorry Oleg, as you publish so many posts, there are many that I like and some I can use as an example). When reading the BOM-related posts, I noticed they are a typical example of an IT- or Academic view on PLM, in particular on the BOM topic.
Will these posts help you after reading them ? Do they apply to your business ? Or do you feel more confused as a prolific PLM blogger makes you aware of all the different options and makes you think you should use a single bill of materials ?
I learned from my customers and coaching and mediating hundreds of PLM implementations, that the single BOM discussion is one of the most confusing and complex topics. And for sure if you address it from the IT-perspective
The customer might say:
“Our BOM is already in ERP – so if it is a single BOM you know where it is – goodbye !”.
A different approach is to start looking for the optimal process for this customer, addressing the bottlenecks and pains they currently face. It will be no surprise that PLM best practices and technology are often the building blocks for the considered solution. If it will be a single BOM or a collection of structures evolving through time, this depends on the situation, not on the ultimate PLM system.
Business dictating PLM is fun
Therefore I was happy to read Stephen Porter´s opinion and comments in: The PLM state: Pennywise Pound Foolish Pricing and PLM where he passes a similar message as mine, from a different starting point, the pricing models of PLM Vendors. My favorite part is in his conclusion:
A PLM decision is typically a long term choice so make sure the vendor and partners have the staying power to grow with your company. Also make sure you are identifying the value drivers that are necessary for your company’s success and do not allow yourself to be swayed by the trendy short term technology
Management in companies can be confused by starting to think they just need PLM because they hear from the analysts, that it improves business. They need to think first to solve their business challenges and change the way they currently work in order to improve. And next look for the way to implement this change.
Changing the way to work is the problem, not PLM.
It is not the friendly user-interface of PLM system XYZ or the advanced technical capabilities of PLM system ABC, that will make a PLM implementation easier. Nothing is solved on the cloud or by using a mobile device. If there is no change when implementing PLM, why implement and build a system to lock yourself in even more?
This is what Thomas Schmidt (VP Head of Operational Excellence and IS at ABB’s Power Products Division) told last year at PLM Innovation 2012 in Munich. He was one of the keynote speakers and surprised the audience by stating he did not need PLM !
He explained this by describing the business challenges ABB has to solve: Being a global company but acting around the world as a local company. He needed product simplification, part reduction among product lines around the world, compliance and more.
Another customer in a total different industry mentioned they were looking for improving global instant collaboration as the current information exchange is too slow and error prone. In addition they want to capitalize on the work done and make it accessible and reusable in the future, authoring tool independent. But they do not call it PLM as in their business nobody uses PLM !
Both cases should make a PLM reseller´s mouths water (watertanden in Dutch), as these companies are looking for key capabilities available in most of the PLM systems. But none of these companies asked for a single BOM or a service oriented architecture. They wanted to solve their business issues. And for sure it will lead into implementing PLM capabilities when business and IT-people together define and decide on the right balance.
Management take responsibility
And here lies the management responsibility of these companies. It is crucial that a business issue (or a new strategy) is the driving force for a PLM implementation.
In too many situations, the management decides that a new strategy is required. One or more bright business leaders decide they need PLM (note -the strategy has now changed towards buying and implementing a system). Together with IT and after an extensive selection process is done, the selected PLM system (disconnected from the strategy) will be implemented.
- why PLM projects are difficult
- why it is unclear what PLM does.
PLM Vendors and Implementers are not connected anymore at this stage to the strategy or business. They implement technology and do what the customer project team tells them to do (or what they think is best for their business model).
Successful implementations are those where the business and management are actively involved during the whole process and the change. And this requires a significant contribution from their side, often delegated to business and change consultants.
PLM Implementations usually lead to a crisis at some moment in time, when the business is not leading and the focus is on IT and User Acceptance. In the optimal situation business is driving IT. However in most cases due to lack of time and priorities from the business people, they delegate this activity to IT and the implementation team. And here it is a matter of luck if they will be successful:
- how experienced is the team ?
- Will they really implement a new business strategy or just automate and implement they way the customer worked before, but now in a digital manner ?
- Do we blame the software when the people do not change ?
Back to fun
I would not be so passionate about PLM if it was boring. However looking back the fun and enthusiasm does not come from PLM. The fun comes from a pro-active business approach knowing that first the motivating the people and preparing the change are defined, before implementing PLM practices
I believe the future success for PLM technologies is when we know to speak and address real business value and only then use (PLM) technologies to solve them.
PLM becomes is a logical result not the start.
And don´t underestimate: change is required.
What do you think – is it a dream ?
First of all happy new year to all of you. As there is no “End of the World” risk anymore in the near future , we can start looking forward and set our goals for the next 5 years or is it a 7-years plan Oleg ?.
Christmas, the moment the light returns on the Northern hemisphere, plus the food , cycling and the preparations for the next Product Innovation conference in Berlin were the drivers for this blog post.
The title might give you the impression that it is an IQ-quiz: “Which word does not fit in this sequence”? Well, It’s not, they are all related. Let’s put them in a chronological order.
Frogs existed first, and were exploring the world before us humans. Paleontologists assume they had no notion of what was global. In their world it was probably a few ponds in size. For certain, they did not have anything to do with innovation. At that time, survival depended on the slow process of evolution.
Millions of years later, the first Homos appeared on the earth surface; Homo Sapiens, Homo Erectus, Homo Ludens and perhaps more. They all had something in common: Instead of waiting for the evolution which was ongoing, they started in parallel to innovate. First by walking upright, using a more advanced language to communicate and learning to have tools to achieve more. Their world was still within a reasonable walking distance and probably they started to eat frogs.
This evolution continued for thousands of years. Human beings started to spread around the world and in waves they brought innovation. They built stone temples, learned to sail, discovered gunpowder, electricity, the universe, the internet and more. It is interesting to see that every time a major innovation was born, these innovators enriched their region in wealth and culture, using their innovation as a competitive advantage to dominate their neighbors.
In many cases 1000 years later, this innovation became a commodity and other civilizations stood up with their innovation and dominated their regional environment which became bigger and bigger in size. Where possible they made use of the cheap resources (modern word for what was initially called slaves) to enrich their civilization. For certain, the most civilized were eating frogs!
Market expansion – innovation pace
During the last century, the pace of innovation went faster and faster. New ways of communication and transportation became available and affordable, which made it impossible for innovations to stay within a specific civilization. Innovation became available for everyone around the world and the domination shifted towards companies and markets.
Companies with a strategy to innovate, discovered that there were new ways needed to respond faster than before to market opportunities. This was the driving force behind PDM, as an first attempt to get a better grip and understanding of their fast evolving, more complex products, that require more and more global collaboration between design teams.
PDM is now accepted as critical by all manufacturing companies around the world, to guarantee quality and efficiency. Customer focus became the next demand from the market and interestingly enough, the demand for frogs decreased.
However this wave of innovation was followed by a wave with even greater impact on the global society. New technologies, the availability of internet and social media, suddenly changed society. Combined with the financial crisis in the US and Europe, it became clear that the way we worked in the past is no longer the way to survive in the future.
Faster and global
PLM was introduced early this century as a new strategy to become more customer-centric, being able to respond faster and better to market demands by bringing innovation to the market before the competition. PLM requires a different approach by companies to work internally and interact with the (global) outside world. The need to implement the PLM vision requires change and as it cannot be considered as an evolutionary process over several generations, it will be a business change. However, in general, human beings do not like rapid change. Here the frogs come back into the picture, now as the boiling frog metaphor.
It is based on 19th century anecdote describing a frog slowly being boiled alive. The premise is that if a frog is placed in boiling water, it will jump out, but if it is placed in cold water that is slowly heated, it will not perceive the danger and will be cooked to death. The story is often used as a metaphor for the inability of people to react to significant changes that occur gradually. This metaphor is very applicable for the classical approach companies bring their products to the market, where innovation is more a lucky coincidence than a result of a strategy.
Here it all comes together again.
Innovation is the only way for companies to avoid becoming a commodity – not able to differentiate for your potential customers. Now the title of this post should be clear: “Do not be a boiling frog, use PLM to support your innovation and become available for the global market”
As the new year has started and it is still time to extend your good intentions, add Innovation, PLM and Change to your survival list.
I look forward to your comments and hope to discuss with you the relation between PLM and Innovation during the upcoming Product Innovation event in Berlin, where I present a session with the title: “PLM loves Innovation ?”
(when you know me, you know the answer, but there are always surprises)
- Are we as dumb as “Slowly Boiling Brainless Frogs”? (1) (blogs.redding.com)
Last week I started my final preparation for the PLM Innovation Congress 2012 on February 22nd and 23rd in Munich, where I will speak about Making the Case for PLM. Looking forward for two intensive days of knowledge sharing and discussion
The question came to my mind that when you make the case for PLM, you also must be clear about what you mean by PLM. And here I started to struggle a little. I have my perception of PLM, but I am also aware everyone has a different perception about the meaning of PLM.
I wrote about it last year, triggered by a question in the CMPIC group (configuration management) on LinkedIn. The question was Aren’t CM and PLM the same thing ? There was a firm belief from some of the members that PLM was the IT-platform to implement CM.
A few days ago Inge Craninckx posted a question in the PDM PLM CAD network group about the definition of PLM based on a statement from the PLMIG. In short:
“PDM is the IT platform for PLM.”Or, expressed from the opposite viewpoint: “PLM is the business context in which PDM is implemented
The response from Rick Franzosa caught my attention and I extracted the following text:
The reality is that most PLM systems are doing PDM, managing product data via BOM management, vaulting and workflow. In that regard, PDM [read BOM management, vaulting and workflow], IS the IT platform for the, in some ways, unfulfilled promise of PLM.
I fully agree with Rick’s statement and coming back to my introduction about making the case for PLM, we need to differentiate how we implement PLM. Also we have to take into our minds that no vendor, so also not a PLM vendor, will undersell their product. They are all promising J
Two different types of PLM implementation
Originally PLM has started in 1999 by extending the reach of Product Data outside the engineering department. However besides just adding extra functionality to extend the coverage of the lifecycle, PLM also created the opportunity to do things different. And here I believe you can follow two different definitions and directions for PLM.
Let’s start with the non-disruptive approach, which I call the extended PDM approach
When I worked 6 years ago with SmarTeam on the Express approach, the target was to provide an OOTB (Out of the Box) generic scenario for mid-market companies. Main messages were around quick implementation and extending the CAD data management with BOM and Workflow. Several vendors at that time have promoted their quick start packages for the mid-market, all avoiding one word: change.
I was a great believer of this approach, but the first benchmark project that I governed demonstrated that if you want to do it right, you need to change the way people work, and this takes time (It took 2+ years). For the details: See A PLM success story with ROI from 2009
Cloud based solutions have become now the packaging for this OOTB approach enriched, with the ease of deployment – no IT investment needed (and everyone avoids the word change again).
If you do not want to change too much in your company, the easiest way to make PDM available for the enterprise is to extend this environment with an enterprise PLM layer for BOM management, manufacturing definition, program management, compliancy and more.
Ten years ago, big global enterprises started to implement this approach, using local PDM systems for mainly engineering data management and a PLM system for the enterprise. See picture below:
This approach is now adapted by the Autodesk PLM solution and also ARAS is marketing themselves in the same direction. You have a CAD data management environment and without changing much on that area, you connect the other disciplines and lifecycle stages of the product lifecycle by implementing an additional enterprise layer.
The advantage from this approach is you get a shared and connected data repository of your product data and you are able to extend this with common best practices, BOM management (all the variants EBOM/MBOM/SBOM, …) but also connect the market opportunities and the customer (Portfolio management, Systems engineering)
The big three, Dassault Systemes, Siemens PLM and PTC, provide the above functionality as a complete set of functionalities – either as a single platform or as a portfolio of products (check the difference between marketing and reality).
Oracle and SAP also fight for the enterprise layer from the ERP side, by providing their enterprise PLM functionality as an extension of their ERP functionality. Also here in two different ways: as a single platform or as a portfolio of products. As their nature is on efficient execution, I would position these vendors as the one that drive for efficiency in a company, assuming all activities somehow can be scheduled and predicted
My statement is that extended PDM leads to more efficiency, more quality (as you standardize on your processes) and for many companies this approach is a relative easy way to get into PLM (extended PDM). If your company exists because of bringing new products quickly to the market, I would start from the PDM/PLM side with my implementation.
The other PLM – innovative PLM
Most PLM vendors associate the word PLM in their marketing language with Innovation. In the previous paragraph I avoided on purpose the word Innovation. How do PLM vendors believe they contribute to Innovation?
This is something you do not hear so much about. Yes, in marketing terms it works, but in reality? Only few companies have implemented PLM in a different way, most of the time because they do not carry years of history, numbering systems, standard procedures to consider or to change. They can implement PLM in a different way, as they are open to change.
If you want to be innovative, you need to implement PLM in a more disruptive manner, as you need to change the way your organization is triggered – see the diagram below:
The whole organization works around the market, the customer. Understanding the customer and the market needs at every moment in the organization is key for making a change. For me, an indicator of innovative PLM is the way concept development is connected with the after sales market and the customers. Is there a structured, powerful connection in your company between these people? If not, you do the extended PLM, not the innovative PLM.
Innovative PLM requires a change in business as I described in my series around PLM 2.0. Personally I am a big believer that this type of PLM is the lifesaver for companies, but I also realize it is the hardest to implement as you need people that have the vision and power to change the company. And as I described in my PLM 2.0 series, the longer the company exist, the harder to make a fundamental change.
There are two main directions possible for PLM. The first and oldest approach, which is an extension of PDM and the second approach which is a new customer centric approach, driving innovation. Your choice to make the case for one or the other, based on your business strategy.
Looking forward to an interesting discussion and see you in Munich where I will make the case
Recently I have been reading various interesting articles, it started with Why Amazon can’t Make a Kindle in the USA from Steve Denning and from here I followed several interesting links.
Most of the articles were business driven and not with a focus on technology. However what caught my attention was the similarity of issues that were raised in these articles as-if it was about PLM.
At the end it is a plea/cry for change to be more competitive in the future. With the current economical stand still, I believe there is a need and an opportunity for this change also in PLM. I am not pointing to regime changes all around the world, but somehow they are all connected to this new wave of globalization and openness to information.
And as my domain is PLM, I took PLM 2.0 as the vehicle to describe the change currently in the PLM world. Although PLM 2.0 is a term invented by Dassault Systems, I will use it as the placeholder to describe the changes in PLM.
|This week||: What is PLM 2.0 ?|
|Next||: Challenges in current PLM|
|Next||: Change in business|
|Final post||: Why PLM 2.0 – conclusions|
I hope you will stay with me when going through these four steps and look forward to your immediate feedback.
What is PLM 2.0 ?
In 2006 Dassault Systems announced PLM 2.0 as the new generation of PLM implemented on their V6 platform. If you go to the 3DS website you see the following definition of PLM 2.0
Look for the header PLM 2.0: PLM Online for All
In the DS definition you will find several keywords that will help us further to understand the PLM 2.0 capabilities:
a typical Dassault Systems viewpoint, as they are coming from the world or 3D CAD and virtualization and the company’s vision is around lifelike – and life is mostly in 3D.
3D as interface towards all product related information is a paradigm shift for companies that were used to display only metadata on boring tabular screens where you navigate on numbers and text. The other major CAD-related PLM vendors of course could follow this paradigm too, as 3D visualization of information is known to them. However when coming from an ERP-based PLM system you will see 3D is something far out of reach for these vendors (at this moment).
This is what I believe is a crucial keyword for all PLM future implementations it builds upon the Business Information concepts that became in fashion 8 years ago. Online means direct access to the actual data. No information conversion, no need for import or export, but sharing and filtering. What you are allowed to see is actual data and an actual status. Imagine what kind of impact working on-line would have on your organization. Evaluation of trends, Key Performance Indicators directly available – still of course the interpretation to be done by experts.
Intellectual Property – a topic that should be on every company’s agenda. The reason a company currently exists and will exist in the future is based on how they manage their unique knowledge. This knowledge can be based on how certain processes are done, which components are chosen, which quality steps are critical and more. Working in a global collaboration environment challenges the company to keep their IP hidden for others, for sure when you talk about online data. Losing your IP means for a company to be vulnerable for the future – read in the referenced blog post from Steve Jennings about DELL.
This is currently the platform for change as technologies are now enabling people and companies to implement applications in a different manner. Not only on premises, but it could be online, Software As A Service, Cloud based solutions and through standardized programming interfaces, companies could implement end-to-end business process without a huge, monolithic impact. Also Web 2.0 provides the platform for communities.
The concept of communities opens new perspectives for collaboration. In general people in a community, have a common interest or task, and they share thoughts, deliverables back to the community across all company borders. This is the power of the community and the collective intelligence built inside such a community. Without company borders it should give the people a better perspective on their market on their business due to the global participation
The vision is there – now ….
All the above keywords are capabilities for the future and in the world of PLM you see that every PLM vendor / implementer is struggling with them. How to implement them consistently across their offering is the major challenge for the upcoming years, assuming PLM 2.0 is considered as the next step.
If you look at the PLM vendors beside Dassault Systems, you see that Siemens and PTC are closest to following the PLM 2.0 approach, without mentioning the term PLM 2.0. Other vendors even refuse to talk about PLM, but they share already similar components, for example Autodesk.
Interesting to see that the ERP-based PLM vendors do not follow this trend in their communication, they are still working on consolidating and completing their ‘classical’ PLM components
But the classical PLM vendors struggle with the change in paradigm too.
- What to do with current, huge and structured implementations ?
- Is PLM 2.0 having the same demands or can it be different ?
Here you see opportunities for new comers in this market as you can implement online collaboration, intellectual property creation/handling and communities in different manners with different types of implementation demands.
So far my introduction in PLM 2.0. Browsing on the web, I did not find too much other viewpoints on this specific terminology, so I am curious about your thoughts or and complementary comments on this topic.
In my next post I will zoom in into the challenges of PLM and relate them to the PLM 2.0 vision
My take on PLM (classical) and PLM 2.0
Referenced in this context – not directly mentioned:
- IBM visionary presentation from 2006 – Michael Neukirchen
- The future of PLM – Martin Ohly (global PLM blog)
- PLM 2.0 technology or facelift – Oleg Shilovitsky
- Social Media and PLM explained for Dummies – Jos Voskuil
- Going Social With Product Development – Jim Brown