An integrated approach to machine selection and operation allocation problem |
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Authors: | Evrim Ursavas Guldogan |
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Affiliation: | 1. Department of Industrial Engineering, Yasar University, University Street, No: 35-37, 35100, Bornova-Izmir, Turkey
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Abstract: | Machine selection and operation allocation is a multi-criteria decision-making problem which involves the consideration of both qualitative and quantitative factors. Thus, a hybrid model integrating the knowledge-based expert system and the genetic algorithm may be effectively applied to the decision problem. This paper proposes a two-step approach where suitable machines for every operation in a work center is selected and optimized as a whole to obtain the optimum machine park. The first step of the model determines the suitability of each machine type for every operation using the knowledge-based expert system. The second stage searches through the solution space to find the optimal machine park with the use of a genetic algorithm. A real-life case study at an outdoor advertisement manufacturing company demonstrates the applicability of the model. |
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