Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints

•We model a multi-objective energy-efficient scheduling with transportation times.•We develop an enhanced genetic algorithm to get Pareto solutions.•The proposed algorithm is effective in solving the EFJSP and is capable of obtaining better Pareto solutions than the multi-objective genetic algorithm...

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Veröffentlicht in:	Robotics and computer-integrated manufacturing 2019-10, Vol.59, p.143-157
Hauptverfasser:	Dai, Min, Tang, Dunbing, Giret, Adriana, Salido, Miguel A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Energy conservation Energy consumption Energy management Environmental impact Flexible job shop scheduling problems Flexible manufacturing systems Genetic algorithm Genetic algorithms Job shop scheduling Job shops Multi-objective optimization Multiple objective analysis Nonlinear programming Optimization Production scheduling Resource management Transportation Transportation time
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