Data-based improvement of engineering change impact analyses in manufacturing

Procedia CIRP, vol. 99, pp. 580–585

Abstract

Due to dynamic business environments and volatile customer requirements, manufacturing companies are increasingly relying on agile development methods to implement changes to their products more quickly. The drive towards speed, however, is in conflict with the thorough analysis of engineering change impacts on more and more complex manufacturing systems. In this context, efficient change management that enables rapid processing of changes while maintaining consistently high product quality is key for competitiveness. This paper examines existing literature and presents a concept for the data-based improvement of engineering change impact analyses in manufacturing.

Authors 4

1. Guenther Schuh Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Production Engineering (WZL), Campus-Boulevard 30, 52074 Aachen, Germany

2. A. Guetzlaff Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Production Engineering (WZL), Campus-Boulevard 30, 52074 Aachen, Germany

3. Frederick Sauermann Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Production Engineering (WZL), Campus-Boulevard 30, 52074 Aachen, Germany

4. Marius Krug corresponding Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Production Engineering (WZL), Campus-Boulevard 30, 52074 Aachen, Germany