Large-scale energy-conscious bi-objective single-machine batch scheduling under time-of-use electricity tariffs via effective iterative heuristics

Time-of-use (TOU) electricity pricing policy is widely encountered in the world, which provides new opportunities for power-intensive enterprises to save their energy cost. A good trade-off between the total electricity cost and production efficiency is desired by decision makers. This work addresse...

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Veröffentlicht in:	Annals of operations research Jg. 296; H. 1-2; S. 471 - 494
Hauptverfasser:	Wu, Peng, Cheng, Junheng, Chu, Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2021 Springer Springer Nature B.V Springer Verlag
Schlagworte:	Algorithms Business and Management Combinatorics Computer Science Decision theory Electric utilities Electricity Energy costs Heuristic Iterative methods Job shops Methods Operations Research Operations Research/Decision Theory Prices and rates S.i.: Mopgp 2017 Scheduling Scheduling (Management) Tariffs Theory of Computation Time of use electricity pricing China Bi-objective optimization Energy-conscious batch scheduling Time-of-use (TOU) constraint-based constructive heuristic algorithms ϵ-constraint-based constructive heuristic algorithms
ISSN:	0254-5330, 1572-9338
Online-Zugang:	Volltext
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