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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