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Minimizing the energy consumption and the total weighted tardiness for the flexible flow shop using NSGA-II and NRGA

Credit to Download: 1 | Page Numbers 11 | Abstract Views: 214
Year: 2017
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 NRGA

  Mohammad 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

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COI code: IIEC14_076

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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)
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Type: state university
Paper No.: 55403
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