A Hybrid Metaheuristic for the Lot Streaming Problem in Job Shops
نویسندگان
چکیده
This paper presents a hybrid metaheuristic for solving the lot streaming problem in job shop production systems. In contrast with conventional tabu search implementations, where the disjunctive graph is adopted to represent the scheduling problem, our tabu search approach is based on permutation with repetition. Moreover, a specific procedure inspired by genetic algorithms is incorporated to seek better sublot sizes for a given schedule. By combining two metaheuristics, good solutions can be found in reasonable computing times and experimental results confirm the remarkable advantage of lot streaming.
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