A robust design of simulated annealing approach for mixed-model sequencing |
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Authors: | Hyung-Soo Cho Chun-Hyun Paik Hang-Mook Yoon Ho-Gyun Kim |
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Affiliation: | aDepartment of Information and Industrial Engineering, Dongeui University, 995 Eomgwangno, Busanjin-gu, Busan 614-714, South Korea bDepartment of Urban Engineering, Dongeui University, South Korea |
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Abstract: | ![]() The effectiveness of the solution method based on simulated annealing (SA) mainly depends on how to determine the SA-related parameters. A scheme as well as parameter values for defining an annealing schedule should be appropriately determined, since various schemes and their corresponding parameter values have a significant impact on the performance of SA algorithms. In this paper, based on robust design we propose a new annealing parameter design method for the mixed-model sequencing problem which is known to be NP-hard. To show the effectiveness of the proposed method, extensive computation experiments are conducted. It was found that the robust designed method outperforms the SA algorithm by McMullen and Frazier [McMullen, P.R., & Frazier, G.V. (2000). A simulated annealing approach to mixed-model sequencing with multiple objectives on a just-in-time line. IIE Transactions, 32, 679–686]. |
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Keywords: | Simulated annealing (SA) Robust design Mixed-model sequencing |
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