Volume 20, Issue 2 (6-2023)
jor 2023, 20(2): 25-47 |
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Hasani A, Hosseini S M H. Green Scheduling in Flexible Flow Shop with Machine-Dependent Processing Stages, Machines Eligibility, and Release Time. jor 2023; 20 (2) :25-47
URL: http://jamlu.liau.ac.ir/article-1-2028-en.html
URL: http://jamlu.liau.ac.ir/article-1-2028-en.html
Department of industrial engineering and management, Shahrood University of technology, Shahrood, Iran , sh.hosseini@shahroodut.ac.ir
Abstract: (1039 Views)
Scheduling is one of the most important problems in the research and applied fields of production management, which has a great impact on the efficiency of production resources. Therefore, various methods and approaches have been introduced to solve these problems in production systems considering specific features. In this regard, this study investigates a flexible flow shop scheduling problem wherein, the processing steps of each job depend on the machine assigned in the first stage. In addition, the setup times depend on the sequence, the machine's eligibility is investigated, and the release times are also considered. This problem is explained in the form of a mixed-integer mathematical model (MIP) by considering production costs and energy consumption as two important objective functions. The proposed model is run using the ϵ-constraint method for solving the problem in small scales, and an approximate solution method based on the non-dominant sorting approach with genetic algorithm (NSGA-II) is introduced for solving the problem in large scales. The solution results show the appropriate performance of the proposed algorithm in solving this problem, and also, the comparison of the results indicates the superiority of this algorithm over the competing SPEA 2 algorithm as another multi-objective optimization method.
Keywords: Green Scheduling, Flexible Flow Shop, Machine-Dependent Processing Stages, Production Costs, Energy Consumption
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