NDLI: A mathematical model for integrating lot-sizing and scheduling problem in capacitated flow shop environments

Content Provider	Springer Nature Link
Author	Ramezanian, Reza Saidi Mehrabad, Mohammad Teimoury, Ebrahim
Copyright Year	2012
Abstract	In this paper, a multiproduct multiperiod capacitated production system that has been organized as a flow shop is considered. The main novelty of the paper is proposing a more efficient mathematical model for the problem of integrating lot sizing and scheduling with sequence-dependent setups. In comparison to the former model, because of fewer continuous and binary decision variables and constraints in the proposed model, this model is very easier to solve. Comparison between two models proves the superiority of the proposed model. Two mixed integer programming-based approaches with rolling horizon framework have been used to solve this model. To evaluate the performance of the proposed model and solution method, problems of different scales have been studied. The used algorithms search the solution space for both lot-sizing and scheduling problems and find a combination of production planning and scheduling that is feasible and close to optimum.
Starting Page	347
Ending Page	361
Page Count	15
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	66
Issue Number	1-4
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-07-12
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mathematical model Permutation flow shop Sequence-dependent setup Setup carryover MIP-based algorithm Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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