Pseudo-fuzzy discrete-event simulation for on-line production control |
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| Affiliation: | 1. Aix Marseille Univ, CRET-LOG, Aix-en-Provence,France;2. The University of Melbourne, Department of Management & Marketing, Victoria, Australia;1. AVIC Shenyang Aeroengine Research Institute, Shenyang 110015, China;2. School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 15001, China;3. Rotor Dynamics Laboratory, Virginia Tech, Blacksburg, VA 24061, USA;1. Loughborough University, UK;2. School of Civil & Building Engineering, Loughborough University, UK;3. Construction & Building Engineering Dept., Arab Academy for Science, Technology & Maritime Transport, Egypt;1. Charité Universitätsmedizin Berlin, Germany;2. Freie Universität Berlin, Germany |
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| Abstract: | In this paper we propose an alternative use of commercial object-oriented discrete-event simulators. We attempt to bridge the intrinsic inaccuracy of simulators in modelling real systems affected by fuzziness. The strategy adopted, called pseudo-fuzzy discrete event simulation, models fuzziness through a set of several classic simulation runs to trace an output fuzzy performance function. The idea behind the approach proposed is to use the simulator as a fuzzy operator, which embeds some stochastic functions.A benchmark industrial setting has been used to build a reference simulation model and perform evaluations of the simulation strategy proposed for a specific working case. |
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