Optimal configuration selection for Reconfigurable Manufacturing Systems |
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Authors: | Ayman M A Youssef and Hoda A ElMaraghy |
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Affiliation: | (1) Intelligent Manufacturing Systems Centre, Industrial & Manufacturing Systems Engineering, Faculty of Engineering, University of Windsor, Room 204, Odette Building, 401 Sunset Avenue, Windsor, ON, Canada, N9B 3P4 |
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Abstract: | The selection of Reconfigurable Manufacturing Systems (RMS) configurations that include arrangement of machines, equipment
selection, and assignment of operations, has a significant impact on their performance. This paper reviews the relevant literature
and highlights the gaps that exist in this area of research. A novel “RMS Configuration Selection Approach” is introduced.
It consists of two phases; the first deals with the selection of the near-optimal alternative configurations for each possible
demand scenario over the considered configuration periods. It uses a constraint satisfaction procedure and powerful meta-heuristics,
real-coded Genetic Algorithms (GAs) and Tabu Search (TS), for the continuous optimization of capital cost and system availability.
The second phase utilizes integer-coded GAs and TS to determine the alternatives, from those produced in the first phase,
that would optimize the degree of transition smoothness over the planning horizon. It uses a stochastic model of the level
of reconfiguration smoothness (RS) across all the configuration periods in the planning horizon according to the anticipated
demand scenarios. This model is based on a RS metric and a reconfiguration planning procedure that guide the development of
execution plans for reconfiguration. The developed approach is demonstrated and validated using a case study. It was shown
that it is possible to provide the manufacturing capacity and functionality needed when needed while minimizing the reconfiguration
effort. The proposed approach can provide decision support for management in selecting RMS configurations at the beginning
of each configuration period.
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Keywords: | Optimization Reconfigurable Manufacturing Systems Reconfiguration planning Reconfiguration smoothness System configuration |
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