Fuzzy Mathematical Programming and Self-Adaptive Artificial Fish Swarm Algorithm for Just-in-Time Energy-Aware Flow Shop Scheduling Problem With Outsourcing Option

Flow shop scheduling (FSS) problem constitutes a major part of production planning in every manufacturing organization. It aims at determining the optimal sequence of processing jobs on available machines within a given customer order. In this article, a novel biobjective mixed-integer linear progra...

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Vydáno v:	IEEE transactions on fuzzy systems Ročník 28; číslo 11; s. 2772 - 2783
Hlavní autoři:	Babaee Tirkolaee, Erfan, Goli, Alireza, Weber, Gerhard-Wilhelm
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive algorithms Algorithms Energy consumption Energy management Energy-conservation flow shop scheduling (FSS) Frequency selective surfaces fuzzy mathematical programming Genetic algorithms Integer programming Job shop scheduling Linear programming Mathematical programming Mixed integer Multiple objective analysis Outsourcing outsourcing option Parameter sensitivity Production planning self-adaptive artificial fish swarm algorithm (SAAFSA) Sensitivity analysis Subcontractors
ISSN:	1063-6706, 1941-0034
On-line přístup:	Získat plný text
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