Thoughts about PDM/PLM jumbos and PLM glue

December 10, 2013


PDM v. PLM. This topic is usually raising lots of questions. Still is… People are getting confused by names and functions. Few years ago, I wrote 3 posts comparing PDM and PLM from different aspects – data, process and integration. Recently, Chad Jackson made me think about PLM and PDM topic again by his write up of Enovia capabilities. You might read my PDMish, PLMish and other CADPDLM bundles following Chad’s post.

Aras blog is bringing PDM v PLM topic again. Navigate to PDM or PLM? Yes. story by Peter Schroer – CEO and President of Aras. Peter draws a clear functional line between PDM and PLM. The following passage put all "dots" in comparison between D and L in product development.

PDM doesn’t provide product configuration management (effectivity) or enterprise process management. It doesn’t keep the design in synch with product workflows or requirements management, it doesn’t manage non-CAD and non-file based data very well, and it doesn’t track where that part or assembly fits in to the entire system lifecycle process. While PDM is useful, it doesn’t help make supply chains more efficient, it doesn’t improve quality or customer satisfaction, and it doesn’t help increase revenue.

The recipe I captured in Aras’ blog is suggesting PLM to play the role of glue that connect PDM (engineering) and extended enterprise (rest of the company).

PLM, or product lifecycle management, is the glue between PDM and the extended enterprise. PLM takes product data and puts it in the correct context for each user. For some users the CAD file is the center of their universe, but for many others CAD-based data is just a small subset of the entire set of product information they work with.

The last things about "glue" made me think about future integration strategies in PDM/PLM world. It was a time when everybody had a dream of a single PLM system used by everybody in the company providing a holistic set of functions. However, nowadays the number of "single PLM" believers are going down.

So, what comes next? Few weeks ago, I’ve been discussing the idea of Future unbundling strategies in PLM. Thinking more, I can see future separation of giant systems into small services as something more feasible. I can see how small features and functions are getting traction in a company to fulfill a specific need – change management, configurations, engineering BOM, etc.

What is my conclusion? I can see more tools and service diversity in the future. It is very hard to provide ready to go out-of-the-box set of functions. Compared to that, I can see set of services to make product development, collaboration, data management and communication more efficient. Some of tools can be cloud- and some of them – on-premise based. Social platforms will play a role of one-big-system-glue. Just my thoughts…

Best, Oleg

PDM vs. PLM: An Integration Perspective

August 30, 2010

I’m continuing discussions about PDM vs. PLM differences. I’d encourage you to take a look on my previous two posts related to this topic: PDM vs. PLM: A Data Perspective and PDM vs. PLM: A Process Perspective. My next PDM vs. PLM comparison perspective is related to integration of PDM or PLM systems with other systems and processes in the organization.

Data Integration

For PDM, data integration is the ability to facilitate an exchange between product data records, other enterprise systems and extended value chain. The most important and very important is PDM – ERP integration. This integration provides an ability to exchange design, engineering and manufacturing data. For PLM data integration becomes more complex and needs to include an expanded set of application and data sources. Some of advanced data integration PDM projects are including federation of data between multiple systems.

Process Integration

When it comes to business and product development processes, both PDM and PLM systems can provide a significant influence on how these processes can be integrated. However, PDM system process scope is normally very limited and stay focused on engineering documents and data lifecycle. PLM process integration is focused on the ability of PLM system to have a tight connection with other processes. Most of them are ERP-based. These days it becomes more and more important to have a good support for integrated product development processes.

Social Integration

This is a relatively new aspect of integration and related to the ability of PLM system to be integration with social tools. Tools like Yammer and others represent a new class of tools helping people to collaborate in the organization. Both PDM and PLM systems provide a context for social tools. It can come as data about product, documents, changes processes and everything that helps to identify social relations. For example, by analyzing your product data, you can find a knowledge expert in a particular filed in the organization, etc.

What is my conclusion? Both PDM and PLM systems have very strong dependencies on their ability to be integrated within an organization. PDM integrations are oriented on data access, transfer and interoperability between a PDM and other systems in the enterprise. Data is the main focus of PDM integrations. It may include a different type of data integrations – manual, automatic, one or bi-directional data integrations. However, when it comes to Product Lifecycle Management, the scope of integration can be increased dramatically. It may include integration of processes, people and social context. The ability of PDM and PLM system to integrate what other systems and people in the organization are critical for successful implementations. This of the reasons why PDM and PLM implementations often fail in the organization.

Update: When I finished this post, I found a new post coming from Kurt Chen of Technology Evaluation Center. Kurt posted PDM vs. PLM A Matrix View. What I liked in Kurt’s post is the focus on the PDM/PLM need to be integrated with people and system in the manufacturing organization. This is a key in my view.

Best, Oleg


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