Product data management

Product data management (PDM) or Product information management (PIM) is the business function often within product lifecycle management (PLM) that is responsible for the management and publication of product data.[1][2] In software engineering, this is known as version control. The goals of product data management include ensuring all stakeholders share a common understanding, that confusion during the execution of the processes is minimized, and that the highest standards of quality controls are maintained.

Introduction

Product data management is the use of software or other tools to track and control data related to a particular product. The data tracked usually involves the technical specifications of the product, specifications for manufacture and development, and the types of materials that will be required to produce goods. The use of product data management allows a company to track the various costs associated with the creation and launch of a product. Product data management is part of product lifecycle management and configuration management, and is primarily used by engineers.

Within PDM the focus is on managing and tracking the creation, change and archive of all information related to a product. The information being stored and managed (on one or more file servers) will include engineering data such as computer-aided design (CAD) models, drawings and their associated documents.

Product data management (PDM) serves as a central knowledge repository for process and product history, and promotes integration and data exchange among all business users who interact with products — including project managers, engineers, sales people, buyers, and quality assurance teams.

The central database will also manage metadata such as owner of a file and release status of the components. The package will: control check-in and check-out of the product data to multi-user; carry out engineering change management and release control on all versions/issues of components in a product; build and manipulate the product structure bill of materials (BOM) for assemblies; and assist in configurations management of product variants.

This enables automatic reports on product costs, etc. Furthermore, PDM enables companies producing complex products to spread product data into the entire PLM launch-process. This significantly enhances the effectiveness of the launch process.

Product data management is focused on capturing and maintaining information on products and/or services through its development and useful life. Typical information managed in the PDM module include

  • Brand name
  • Part number
  • Part description
  • Supplier/vendor
  • Vendor part number and description
  • Unit of measure
  • Cost/price
  • Schematic or CAD drawing
  • Material data-sheets

Advantages

  • Track and manage all changes to product related data
  • Spend less time organizing and tracking design data
  • Improve productivity through reuse of product design data
  • Enhance collaboration
  • Helps using visual management

Industrial Applications

Product Data Management is closely related and often used interchangeably with Product Information Management (PIM). PDM software applications are commonly used by companies involved with manufacturing and retailing. Examples of PDM software vendors include CMPRO,[3] SOLIDWORKS,[4] Zentail[5] and Bintime/Gepard.[6] Apart from those providers, in the market exist other kind of vendors that offer PDM systems with extra functionalities such as Sales Layer.

History

PDM stems from traditional engineering design activities that created product drawings and schematics on paper and using CAD tools to create parts lists (Bills of Material structures – BOM). The PDM and BOM data is used in enterprise resource planning (ERP) systems to plan and coordinate all transactional operations of a company (sales order management, purchasing, cost accounting, logistics, etc.)

PDM is a subset of a larger concept of product lifecycle management (PLM). PLM encompasses the processes needed to launch new products (NPI), manage changes to existing products (ECN/ECO) and retire products at the end of their life (EoL).

References

  1. Product Data Management/Product information management, Kenneth Crow
  2. Ivica Crnkovic, Ulf Asklund, Annita Persson Dahlqvist "Implementing and Integrating Product Data Management and Software Configuration Management" ISBN 978-1580534987
  3. "CMPRO - PSA, Inc". PSA, Inc. Retrieved 2017-11-19.
  4. "Packages". www.solidworks.com. Retrieved 2017-11-19.
  5. "Sell on Jet.com, Walmart, Amazon, eBay, Google Shopping | Zentail". www.zentail.com. Retrieved 2017-11-19.
  6. "BINTIME provides a e-commerce development team, dedicated to your business goals". bintime.com. Retrieved 2018-05-07.

How to select a PDM system in 5 simple steps

Further reading

  • Stark, John (1992). "Engineering Information Management Systems: Beyond CAD/CAM to Concurrent Engineering Support". Van Nostrand Reinhold. ISBN 978-0442010751. Missing or empty |url= (help)
  • Stark, John (2015). Product Lifecycle Management: Volume 1: 21st Century Paradigm for Product Realisation. Springer. ISBN 978-3-319-17439-6.
  • Miller, Ed (October 1998). "What is PDM". Mechanical Engineering Magazine. The American Society of Mechanical Engineers. Retrieved 2008-01-23.
  • Wilson, David J. "How to Integrate Paper with CAD" (PDF). Open Archive white paper. Open Archive white paper. Archived from the original (PDF) on 2006-12-15. Retrieved 2008-03-03.
  • Sales Layer (February 2018). "Diferencias entre un software de PLM (Product Lifecycle Management) y PDM (Product Data Management)". Sales Layer. Retrieved 2018-07-23.
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