globalchange  > 气候减缓与适应
DOI: 10.1007/s00170-018-3043-1
WOS记录号: WOS:000463240400063
论文题名:
Multiobjective approach for deteriorating jobs scheduling for a sustainable manufacturing system
作者: Tigane, Meriem1; Dahane, Mohammed2; Boudhar, Mourad1
通讯作者: Dahane, Mohammed
刊名: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
ISSN: 0268-3768
EISSN: 1433-3015
出版年: 2019
卷: 101, 期:5-8, 页码:1939-1957
语种: 英语
英文关键词: Deteriorating jobs ; Scheduling ; Parallel machines ; Energy consumption ; Makespan ; NSGA-II
WOS关键词: GENETIC ALGORITHM ; MINIMIZING MAKESPAN ; POWER-CONSUMPTION ; MACHINE ; OPTIMIZATION ; SEQUENCE ; TIMES
WOS学科分类: Automation & Control Systems ; Engineering, Manufacturing
WOS研究方向: Automation & Control Systems ; Engineering
英文摘要:

With ever-increasing concerns about climate change, and in the context of diminishing fossil energy resources, energy consumption has become a subject of great importance. In this framework, our study is concerned with the reduction of the energy consumed by a manufacturing system composed of several unrelated parallel machines. We investigate the problem of scheduling a set of n deteriorating jobs on m parallel unrelated machines subject to a deterioration effect, where the processing time of each job is a linear deterioration function of the starting time. The objective is to determine the best scheduling of the jobs, minimizing the makespan and the total energy consumption. We implement a nondominated sorting-based multiobjective algorithm (NSGA-II)-based approaches with a given scheduling rules to solve the developed mathematical model of the considered problem. The performance of the proposed approaches are compared with an exact algorithm and evaluated through computational experiments. Then, we give a multiobjective decision-making method based on the TOPSIS (technique for order of preference by similarity to ideal solution) technique to determine the best solution from the Pareto front according to the decision-maker's preferences.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125503
Appears in Collections:气候减缓与适应

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作者单位: 1.Univ El Alia, RECITS Lab, Fac Math, USTHB, Bab Ezzouar, Algeria
2.Univ Lorraine, LGIPM, F-57000 Metz, France

Recommended Citation:
Tigane, Meriem,Dahane, Mohammed,Boudhar, Mourad. Multiobjective approach for deteriorating jobs scheduling for a sustainable manufacturing system[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2019-01-01,101(5-8):1939-1957
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