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Assembly Line Resource Assignment and Balancing Problem of Type 2

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Design and Modeling of Mechanical Systems

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

This paper presents a Multi-Objective Genetic Algorithm (MOGA) for Assembly Line Resource Assignment and Balancing Problem of type2(ALRABP-2). This approach minimizes both the cycle time and cost per hour of the line for a fixed number of stations to satisfy precedence constrains between tasks and compatibility constrains between resources. A modified version of Weighted Pareto-based Multi-Objective Genetic Algorithm (WPMOGA) is used to solve this problem. The effectiveness of the genetic approach has been evaluated through a set of instances randomly generated.

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Author information

Authors and Affiliations

  1. Sfax Engineering School, ENIS, U2MP, University of Sfax, BP 1173, 3038, Sfax, Tunisia

    Triki Hager & Masmoudi Faouzi

  2. Sousse Engineering School, ENISo, U2MP, University of Sousse, BP 1173, 3038, Sfax, Tunisia

    Mellouli Ahmed

Authors
  1. Triki Hager
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  2. Mellouli Ahmed
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  3. Masmoudi Faouzi
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Corresponding author

Correspondence to Triki Hager .

Editor information

Editors and Affiliations

  1. National School of Engineers of Sfax, Route de Soukra km 3.5, Sfax, 3038, Tunisia

    Mohamed Haddar

  2. National School of Engineers of Sousse, BP. 264, Sousse Erriadh, 4023, Tunisia

    Lotfi Romdhane

  3. National School of Engineers of Sfax, Route de Soukra km 3.5, BP. 1173, Sfax, 3038, Tunisia

    Jamel Louati

  4. National School of Engineers of Monastir, Avenue Ibn El Jazzar, Monastir, 5019, Tunisia

    Abdelmajid Ben Amara

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Hager, T., Ahmed, M., Faouzi, M. (2013). Assembly Line Resource Assignment and Balancing Problem of Type 2. In: Haddar, M., Romdhane, L., Louati, J., Ben Amara, A. (eds) Design and Modeling of Mechanical Systems. Lecture Notes in Mechanical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37143-1_74

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  • DOI: https://doi.org/10.1007/978-3-642-37143-1_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37142-4

  • Online ISBN: 978-3-642-37143-1

  • eBook Packages: EngineeringEngineering (R0)

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