From Design to Production Control Through the Integration of Engineering Data Management and Workflow Management Systems

TL;DR

This paper explores integrating engineering data management with workflow systems to enhance product development and production processes, demonstrated through applications in high-energy physics detector construction.

Contribution

It proposes a novel integration approach of Product Data Management and Workflow Management systems for comprehensive support across design and production stages.

Findings

Improved coordination of design and production workflows.

Enhanced support for dynamic and evolving engineering data.

Successful application in CMS detector construction.

Abstract

At a time when many companies are under pressure to reduce "times-to-market" the management of product information from the early stages of design through assembly to manufacture and production has become increasingly important. Similarly in the construction of high energy physics devices the collection of (often evolving) engineering data is central to the subsequent physics analysis. Traditionally in industry design engineers have employed Engineering Data Management Systems (also called Product Data Management Systems) to coordinate and control access to documented versions of product designs. However, these systems provide control only at the collaborative design level and are seldom used beyond design. Workflow management systems, on the other hand, are employed in industry to coordinate and support the more complex and repeatable work processes of the production environment. Commercial workflow products cannot support the highly dynamic activities found both in the design stages of product development and in rapidly evolving workflow definitions. The integration of Product Data Management with Workflow Management can provide support for product development from initial CAD/CAM collaborative design through to the support and optimisation of production workflow activities. This paper investigates this integration and proposes a philosophy for the support of product data throughout the full development and production lifecycle and demonstrates its usefulness in the construction of CMS detectors.