Hybrid energy-efficient scheduling measures for flexible job-shop problem with variable machining speeds

被引：54

作者：

Wei, Zhenzhen ^{[1
]}

Liao, Wenzhu ^{[2
]}

Zhang, Liuyang ^{[1
]}

机构：

[1] Chongqing Univ, Dept Ind Engn, Chongqing 400044, Peoples R China

[2] Chongqing Univ, Dept Engn Management, Chongqing 400044, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2022年 / 197卷

关键词：

Green manufacturing scheduling; Energy-efficient; Flexible job shop; Variable machining speeds; MULTIOBJECTIVE GENETIC ALGORITHM; POWER-CONSUMPTION; OPTIMIZATION APPROACH; CARBON FOOTPRINT; TARDINESS; SEARCH;

D O I：

10.1016/j.eswa.2022.116785

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Production scheduling has a significant impact on energy savings in manufacturing system from the viewpoint of operation management. Taking the flexibility of machining speeds taken into account, the flexible job-shop scheduling problem will get closer to the real manufacturing environment, and the associated energy consumption for shifting speeds should also be noticeable. In this paper, a novel energy-aware estimation model is proposed to compute different energy consumptions for different running conditions of a machine. Then, a multi-objective optimization model is formulated for the dual flexible job-shop scheduling problem to minimize the makespan and total energy consumption. Hybrid energy-efficient scheduling measures are developed to reduce each kind of energy consumption on the machines. Finally, experimental results show the consistency between optimization objectives and demonstrate superior performance of these energy-efficient scheduling measures.

引用

页数：16

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