As described in my latest LinkedIn post if you want to install PLM successful there are two important points to address from the implementation point of view:
- An explicit data model not based on system or tools capabilities, but on the type of business the company is performing. There is a difference in an engineering to order company, a built to order company or a configure to order company.
- In PLM (and Business) it is all about enabling an efficient data flow through the organization. There is no ownership of data. It is about responsibilities for particular content per lifecycle stage combined with sharing
Historically PLM implementations started with capturing the CAD data and related EBOM as this is what the CAD-related PLM vendors were pushing for and this was often for the engineering department the biggest pain. The disadvantage of this approach is that it strengthens the silo-thinking process. The PLM system becomes an engineering tool instead of an enterprise system.
I believe if you really want to be able to implement PLM successful in a company, start from a common product/part information backbone. This requires the right business objects and, therefore, the right data modeling. The methodology described below is valid for build to order and configure to order companies, less applicable for engineering to order.
In a build to order company there are the following primary information objects:
- A Product ( representing the customer view of what is sold to the outside world)
- An EBOM ( representing a composition of Parts specifying the Product at a particular time)
- An MBOM (representing the manufacturing composition of the Product at a given time)
And, of course, there are for all the information objects related Documents. Various types and when you can work more advanced, the specification document, can be the source for individually extracted requirements (not in this post)
Let´s follow an End to End scenario from a typical Build to Order company process.
A potential customer sends an RFP for a product they need. The customer RFP contains information about how the product should behave (Specification / Requirements) and how it should be delivered (packaging). A basic data model for this RFP would be:
Note the following details:
- All information objects have a meaningless number. The number is only there to support unique identification and later integration with other systems. The meaning should come from the other attribute data on the object and its relations. (A blog post on its own)
- The Product can have instead of the meaningless number the number provided by the customer. However, if this number is not unique to the company, it might be just another attribute of the product
- In general Products do not have revisions. In time, there might be other BOMs related to the product. Not in this post, products might have versions and variants. And products might be part of a product family. In this case, I used a classification to define a classification code for the product, allowing the company to discover similar products from different customers done. This to promote reuse of solutions and reuse of lessons learned.
- The customer object represents the customer entity and by implementing it as a separate object, you will be able to see all information related to this customer quickly. This could be Products (ordered / in RFQ / etc.) but also other relevant information (Documents, Parts, …)
- The initial conceptual BOM for the customer consists of two sub-BOMs. As the customer wants the products to be delivered in a 6-pack, a standard 6-pack EBOM is used. Note: the Status is Released and a new conceptual EBOM is defined as a placeholder for the BOM definition of the Product to design/deliver.
- And for all the Parts in the conceptual EBOM there can be relations towards one or more documents. Usually, there is one specifying document (the CAD model) and multiple derived documents (Drawings, Illustrations, …)
- Parts can have a revision in case the company wants to trace the evolution of a Part. Usually when Form-Fit-Function remains the same, we speak about a revision. Otherwise, the change will be a new part number. As more and more the managed information is no longer existing on the part number, companies might want to use a new part number at any change, storing in an attribute what its predecessor was.
- Documents have versions and revisions. While people work on a document, every check-in / check-out moment can create a new version of the file(s), providing tractability between versions. Most of the time at the end there will be a first released version, which is related to the part specified.
- Do not try to have the same ID and Revision for Parts and Documents. In the good old days of 2D drawings this worked, in the world of 3D CAD this is not sustainable. It leads to complexity for the user. Preferably the Part and the specifying Document should have different IDs and a different revision mechanism.
And the iterations go on:
Now let´s look at the final stage of the RFQ process. The customer has requested to deliver the same product also in single (luxury) packaging as this product will be used for service. Although it is exactly the same physical product to produce, the product ID should be different. If the customer wants unambiguous communication, they should also use a different product ID when ordering the product for service or for manufacturing. The data model for this situation will look as follows (assuming the definitions are done)
Note the following details:
- The Part in the middle (with the red shadow) – PT000123 represents the same part for both, the product ordered for manufacturing, as well as the product ordered for service, making use of a single definition for both situations
- The Part in the middle has now a large set of related documentation. Not only CAD data but also test information (how to test the product), compliance information and more.
- The Part in the middle on its own also has a deeper EBOM structure which we will explore in an upcoming post.
I reached my 1000 words and do not want to write a book. So I will conclude this post. For experienced PLM implementers probably known information. For people entering the domain of PLM, either as a new student or coming from a more CAD/PDM background an interesting topic to follow. In the next post, I will continue towards the MBOM and ERP.
Let me know if this post is useful for you – and of course – enhancements or clarifications are always welcomed. Note: some of the functionality might not be possible in every PLM system depending on its origin and core data model