An Approach for Knowledge-Driven, Flexible Process Generation

Procedia CIRP, vol. 104, pp. 1239–1244

Abstract

Increasing complexity in processes and individualization of products results in complicated planning processes. Multi-variant products and frequently changing production requirements must be met by flexibility in the processes. For loosely coupled production systems, it is difficult to keep track of the available resources. Therefore, planning processes must be supported with suitable systems. This contribution presents a support system, which transfers the knowledge into ontologies and uses these to support the planning. Resources and their capabilities can be combined freely to achieve maximum flexibility. The procedure is demonstrated within the supply chain in forestry – a distributed and loosely coupled domain.

Authors 4

1. Christian Fimmers corresponding Aachen Laboratory for Machine Tools and Production Engoneering WZL

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engoneering WZL of RWTH Aachen University, Steinbachstr. 19, 52074 Aachen, Germany

2. Simon Storms Aachen Laboratory for Machine Tools and Production Engoneering WZL

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engoneering WZL of RWTH Aachen University, Steinbachstr. 19, 52074 Aachen, Germany

3. Werner Herfs Aachen Laboratory for Machine Tools and Production Engoneering WZL

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engoneering WZL of RWTH Aachen University, Steinbachstr. 19, 52074 Aachen, Germany

4. Christian Brecher Aachen Laboratory for Machine Tools and Production Engoneering WZL

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engoneering WZL of RWTH Aachen University, Steinbachstr. 19, 52074 Aachen, Germany