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Using genetic algorithm for the evaluation of process variants

Using genetic algorithm for the evaluation of process variants Individual customer demands, price pressure and the probability to deliver at the required date and time are important factors for small and medium sized enterprises (SME). These companies, often in the branch of single-part or small-series production, want to be the supplier for larger companies. Decision makers in large companies have to investigate potential suppliers due to these mostly interrelated criteria. Considering different variants of manufacturing a product and the premature investigation of resources and there capacities make it possible to increase known factors during the proposal preparation. Therefore, this paper is introducing a conceptual framework for the evaluation of different process variants to manufacture a product. In this framework, we are using genetic algorithms to optimise and evaluate process variants including the necessary resources and their capacitive use in an evaluated period. Keywords: genetic algorithms; process variants; ISO 10303; process planning; feature-based design, scheduling. Reference to this paper should be made as follows: Neumann, T., Teich, T., Militzer, J. and Kretz, D. (2016) `Using genetic algorithm for the evaluation of process variants', Int. J. Services Operations and Informatics, Vol. 8, No. 2, pp.104­121. Biographical notes: Tim Neumann was studying business administration with the focus on logistics and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

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Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1741-539X
eISSN
1741-5403
DOI
10.1504/IJSOI.2016.080086
Publisher site
See Article on Publisher Site

Abstract

Individual customer demands, price pressure and the probability to deliver at the required date and time are important factors for small and medium sized enterprises (SME). These companies, often in the branch of single-part or small-series production, want to be the supplier for larger companies. Decision makers in large companies have to investigate potential suppliers due to these mostly interrelated criteria. Considering different variants of manufacturing a product and the premature investigation of resources and there capacities make it possible to increase known factors during the proposal preparation. Therefore, this paper is introducing a conceptual framework for the evaluation of different process variants to manufacture a product. In this framework, we are using genetic algorithms to optimise and evaluate process variants including the necessary resources and their capacitive use in an evaluated period. Keywords: genetic algorithms; process variants; ISO 10303; process planning; feature-based design, scheduling. Reference to this paper should be made as follows: Neumann, T., Teich, T., Militzer, J. and Kretz, D. (2016) `Using genetic algorithm for the evaluation of process variants', Int. J. Services Operations and Informatics, Vol. 8, No. 2, pp.104­121. Biographical notes: Tim Neumann was studying business administration with the focus on logistics and

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2016

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