Published in: 14th International Industrial Engineering Conference
COI code: IIEC14_076
Paper Language: English
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Authors Minimizing the energy consumption and the total weighted tardiness for the flexible flow shop using NSGA-II and NRGAMohammad Mahdi Nasiri - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Mojtaba Abdollahi - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Ali Rahbari - Department of Industrial Engineering, Alborz Campus, University of Tehran, Tehran, Iran
Navid Salmanzadeh Meydani - Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran
Abstract:This paper presents a bi-objective MIP model for the flexible flow shop scheduling problem (FFSP) in which the total weighted tardiness and the energy consumption are minimized simultaneously. In addition to considering unrelated machines at each stage, the set-up times are supposed to be sequence- and machine-dependent, and it is assumed that jobs have different release times. Two Taguchi-based-tuned algorithms: (i) non-dominated sorting genetic algorithm II (NSGA-II), and (ii) non-dominated ranked genetic algorithm (NRGA) are applied to solve the model. Six numerical examples with different sizes (small, medium, and large) are used to demonstrate the applicability and to exhibit the efficacy of the algorithms. The results show that the NRGA outperforms significantly the NSGA-II in the performance metrics for all six numerical examples.
Keywords:Flexible flow shop scheduling; energy consumption; weighted tardiness; genetic algorithm; strength Pareto evolutionary algorithm
COI code: IIEC14_076
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Nasiri, Mohammad Mahdi; Mojtaba Abdollahi; Ali Rahbari & Navid Salmanzadeh Meydani, 2017, Minimizing the energy consumption and the total weighted tardiness for the flexible flow shop using NSGA-II and NRGA, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_076.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Nasiri, Mohammad Mahdi; Mojtaba Abdollahi; Ali Rahbari & Navid Salmanzadeh Meydani, 2017)
Second and more: (Nasiri; Abdollahi; Rahbari & Salmanzadeh Meydani, 2017)
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Type: state university
Paper No.: 55403
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