Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/10108
Title: Solving the capacitated lot sizing problem with setup carryover using a new sequential hybrid approach
Authors: Güner Gören, Hacer
Tunalı, Semra
Keywords: Fix-and-optimize heuristic
Genetic algorithms
Lot sizing
Production planning
Sequential hybrid approach
Setup carryover
Customer satisfaction
Heuristic algorithms
Planning
Hybrid approach
Production Planning
Setup carryovers
Production control
Publisher: Kluwer Academic Publishers
Abstract: The aim of lot sizing problems is to determine the periods where production takes place and the quantities to be produced in order to satisfy the customer demand while minimizing the total cost. Due to its importance on the efficiency of the production and inventory systems, lot sizing problems are one of the most challenging production planning problems and have been studied for many years with different modelling features. Among these problems, the capacitated lot sizing problem (CLSP) has received a lot of attention from researchers. Having motivated from our earlier study, this study proposes a new hybrid approach for solving the CLSP with the extension of setup carryover. Moreover, the initialization scheme proposed in the earlier study has also been investigated comprehensively. Lastly, an experimental study evaluating the solution quality of the proposed approach is carried out using various problem instances and promising results are obtained when compared to the recent results in the literature. © 2014, Springer Science+Business Media New York.
URI: https://hdl.handle.net/11499/10108
https://doi.org/10.1007/s10489-014-0626-x
ISSN: 0924-669X
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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