Solving the serial batching problem in job shop manufacturing systems

Liji Shen and Udo Buscher

European Journal of Operational Research, 2012, vol. 221, issue 1, 14-26

Abstract: This paper addresses the serial batch scheduling problem embedded in a job shop environment to minimize makespan. Sequence dependent family setup times and a job availability assumption are also taken into account. In consideration of batching decisions, we propose a tabu search algorithm which consists of various neighborhood functions, multiple tabu lists and a sophisticated diversification structure. Computational experiments show that our algorithm outperforms a well-known tabu search approach which is developed for solving the traditional job shop problem. These results also confirm the benefits of batching.

Keywords: Tabu search; Scheduling; Job shop; Batching (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:221:y:2012:i:1:p:14-26

DOI: 10.1016/j.ejor.2012.03.001

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