Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/28312
Title: Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends
Authors: Yenisey, Mehmet Mutlu
Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü.
0000-0002-4532-344X
0000-0003-1744-3062
Yağmahan, Betül
J-2416-2015
B-5557-2017
23487445600
Keywords: Flow shop
Scheduling
Multi-objective
Literature review
Research directions
Ant colony optimization
Genetic local search
Particle swarm optimization
Minimize makespan
Maximum tardiness
Bound approach
N-job
Algorithm
Bicriteria
2-machine
Business & economics
Operations research & management science
Issue Date: Jun-2014
Publisher: Pergamon-Elsevier
Citation: Yenisey, M. M. ve Yağmahan, B. (2014). "Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends". Omega (United Kingdom), 45, 119-135.
Abstract: The flow shop scheduling problem is finding a sequence given n jobs with same order at m machines according to certain performance measure(s). The job can be processed on at most one machine; meanwhile one machine can process at most one job. The most common objective for this problem is makespan. However, many real-world scheduling problems are multi-objective by nature. Over the years there have been several approaches used to deal with the multi-objective flow shop scheduling problems (MOFSP). Hence, in this study, we provide a brief literature review of the contributions to MOFSP and identify areas of opportunity for future research.
URI: https://doi.org/10.1016/j.omega.2013.07.004
https://www.sciencedirect.com/science/article/pii/S0305048313000832
http://hdl.handle.net/11452/28312
ISSN: 0305-0483
Appears in Collections:Scopus
Web of Science

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