Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/843
Title: | A tabu search-based heuristic for single-product lot streaming problems in flow shops | Authors: | Edis, Rahime Sancar Örnek, Mustafa Arslan |
Keywords: | Lot streaming Simulation Tabu search Stochastic flow shop Genetic Algorithms Variable Sublots Batch Setups |
Publisher: | Springer London Ltd | Abstract: | Lot streaming is a technique that splits a production lot consisting of identical items into sublots to improve the performance of a multistage production system by overlapping the sublots on successive machines. In this study, a single-product multistage stochastic flow shop problem with consistent sublot types and discrete sublot sizes is considered, and a heuristic algorithm which is a combination of simulation and tabu search is presented with the objective of minimizing makespan. First, the performance of the proposed heuristic is evaluated against a deterministic model, then it is applied to stochastic flow shops and the results are compared with those of Arena's OptQuest. The computational results show that the proposed heuristic gives rather efficient results and facilitates the solution of the considered complex stochastic lot streaming problems. | URI: | https://doi.org/10.1007/s00170-008-1798-5 https://hdl.handle.net/20.500.14365/843 |
ISSN: | 0268-3768 1433-3015 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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