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PDM vs. PLM

How To Choose PDM? (Another visual guide)

by Oleg on September 13, 2010 · 354 comments

Last week I published my visual guide how to choose PLM. This post was the most popular during the whole week. So, I decide to try another one this week about Product Data Management.

What do you think is the future of PDM? The demand for tight integration with CAD system and need to keep up with CAD system release schedule put PDM very dependent on CAD vendors. Most of non-CAD-related PDM implementation moved to PLM that focuses on wider aspects of data coverage in this organization. See my previous post – PDM vs. PLM: A Data Perspective.

I’d interested to know your view of the future PDM trajectories. Do you see it¬†differently?

Best, Oleg

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354 comments

PDM vs. PLM: An Integration Perspective

by olegshilovitsky on August 30, 2010 · 0 comments

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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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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432 comments

PDM vs. PLM: A Process Perspective

August 17, 2010

I want to continue the discussion started last week in my post ‘PDM vs. PLM: A Data Perspective‘. Thank you all for comments and your contribution to this conversation. I think, clarification in this space can be very beneficial for customers, vendors and other people involved in planning and operation systems for product development, engineering […]

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