Decision support for design of reconfigurable rotary machining systems for family part production |
| |
Authors: | Olga Battaïa Alexandre Dolgui Nikolai Guschinsky |
| |
Affiliation: | 1. ISAE-Supaéro, Toulouse, France;2. Ecole des Mines de Nantes, IRCCYN UMR CNRS 6597, Nantes, France;3. Operational Research Laboratory, United Institute of Informatics Problems, Minsk, Belarus |
| |
Abstract: | To remain competitive in currently unpredictable markets, the enterprises must adapt their manufacturing systems to frequent market changes and high product variety. Reconfigurable manufacturing systems (RMSs) promise to offer a rapid and cost-effective response to production fluctuations under the condition that their configuration is attentively studied and optimised. This paper presents a decision support tool for designing reconfigurable machining systems to be used for family part production. The objective is to elaborate a cost-effective solution for production of several part families. This design issue is modelled as a combinatorial optimisation problem. An illustrative example and computational experiments are discussed to reveal the application of the proposed methodology. Insight gained would be useful to the decision-makers managing the configuration of manufacturing systems for diversified products. |
| |
Keywords: | reconfigurable machining systems production system design family part production rotary machine combinatorial design combinatorial optimisation |
|
|