Sorry guys, I am aware of the fact that the definition of PLM is very ambiguous. Every vendor, implementor and probably PLM consultant has a favorite definition. Just to illustrate this statement, read Brain Soaper´s recent post: What are the top 5 things to know about PLM ?
Interesting Brian starts with stating the definition of PLM is priority #1, however as you can see from the comment session, it is all about having inside your company a common definition of PLM.
And now I start writing about digital PLM, again a definition. You might have read in my blog about classical PLM and modern PLM.
In particular for CAD data, classical PLM is focusing on managing files in a controlled way, through check-in and check-out mechanisms. On top of file management, classical PLM provides more data-driven functionality, like project management, process governance (workflows / approvals / ECx processes) and BOM management (to link to ERP).
Classical PLM can still bring great benefits to a company as time for searching, paper-based processes and data retyping in ERP can be avoided, leading to reuse and fewer errors. The ROI time for a classical PLM implementation lays between two years to three years; my observations from the past. This time can still vary a lot as not every company or implementor/vendor uses the ideal approach to implement PLM, due to cultural issues, wrong expectations or lack of experience from both parties.
The connotations I have with classical PLM are:
linear, rigid, mechanical,(old) automotive, previous century
Modern PLM = Digital PLM
Modern PLM is based on the vision that all information should be managed and stored as data objects, not necessary in a single system. Still the PLM infrastructure, using structured and unstructured data, should give each user in the organization with almost real-time information in context of other relevant information.
My non-stop blog buddy Oleg recently wrote a post in that context: Data as a platform & future manufacturing intelligence. Oleg is nicely describing some of the benefits of a data-driven approach.
Accenture provides insight with their infographic related to Digital PLM. Read it here as it is very concise and gives you a quick impression what Digital PLM means for an organization. Here is my favorite part, showing the advantages.
The substantial advantages from digital PLM are all coming from the fact that information is stored as data objects, all having their individual versions, relations and status. The advantage of data elements is that they are not locked in a document or specific file format. Information can flow to where or whom needed without translation.
The connotations I have with digital PLM are:
real-time, data continuity, flexible, software and future.
Still some caution:
Reported ROI numbers for digital PLM are significant larger than classical PLM and I observed some facets of that. Digital PLM is not yet established and requires a different type of workforce. See other blog post I wrote about this theme: Modern PLM brings Power to the People.
But what about digital PLM – where is the word digital relevant ?
ETO – model-based engineering
Where to focus first depends very much on your company´s core business process. Companies with an Engineering To Order (ETO) process will focus on delivering a single product to their customer and most of the time the product is becoming more like a system, interacting with the outside world.
Big challenges in ETO are to deliver the product as required, to coordinate all disciplines preferable in a parallel and real-time manner – in time – on budget. Here a virtual model that can be accessed and shared with all stakeholders should be the core. The construction industry is introducing BIM for this purpose (a modern version of DMU). The virtual model allows the company to measure progress, to analyze and simulate alternatives without spending money for prototypes. In the ideal world engineering and simulation are done on the same model, not losing time and quality on data translations and iterations.
The virtual model linked to requirements, functions and the logical definition allows virtual testing – so much cheaper and faster and therefore cost efficient. Of course this approach requires a change in how people work together, which is characteristic for any digital business. Breakdown the silos.
Typical industries using the ETO model: Construction, Energy, Offshore, Shipbuilding, Special Equipment
CTO – model-based manufacturing
In a Configure To Order (CTO) business model you do not spend time for engineering anymore. All options and variants are defined and now the focus is on efficient manufacturing. The trend for CTO companies is that they have to deliver more and more variants in a faster and more demanding global market. Here the connectivity between engineering data and manufacturing data becomes one of the cornerstones of digital PLM. Digital PLM needs to make sure that all relevant data for execution (ERP and MES) is flowing through the organization without reformatting or reworking the data.
The digital thread is the dream. Industry 4.0 is focusing on this part. Also in the CTO environment it is crucial to work with a product model, so all downstream disciplines can consume the right data. Although in CTO the company´s attention might go to MES and ERP, it is crucial that the source of the product model is well specified and under control from (dgital) PLM.
Typical CTO industries are: Automotive, Consumer Goods, High-Tech, Industrial Equipment
BTO – models everywhere
In BTO there is always engineering to do. It can be customer specific engineering work (only once) or it can be changing/ adding new features to the product.
Modularity of the product portfolio might be the answer for the first option, where the second option requires strong configuration management on the engineering side, similar to the ETO model. Although the dream of many BTO companies is to change a CTO company, I strongly believe change in technology and market requirements will always be faster than product portfolio definition.
ETO, BTO and CTO are classical linear business models. The digital enterprise is changing these models too. Customer interaction (myProduct), continuous upgrade and feedback of products (virtual twin), different business models (performance as a service) all will challenges organizations to reconsider their processes.
Digital PLM utilizing a model-based or model-driven backbone will be the (potential) future for companies as data can be flowing through the organization, not locked in documents and classical processes. In my upcoming blog post I will spend some more time on the model-based enterprise.
It depends on your company´s core business process where the focus on a model-based enterprise supported by (digital) PLM benefits the most. In parallel business models are changing which means the future must be flexible.
Digital PLM should be one of your company´s main initiatives in the next 5 years if you want to stay competitive (or relevant)
What do you think ? Am I too optimistic or too pessimistic ?