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Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends

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Akademik Birimler

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Yağmahan, Betül

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Yenisey, Mehmet Mutlu

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Pergamon-Elsevier

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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.

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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

Alıntı

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.

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