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New Matrix Methodology for Algorithmic Transparency in Assembly Line Balancing Using a Genetic Algorithm

Author

Listed:
  • Anel, Juan Ignacio
  • Català, Pau
  • Serra, Moisès
  • Domenech, Bruno

Abstract

This article focuses on the Mixed-Model Assembly Line Balancing single-target problem of type 2 with single-sided linear assembly line configurations, which is common in the industrial environment of small and medium-sized enterprises (SMEs). The main objective is to achieve Algorithmic Transparency (AT) when using Genetic Algorithms for the resolution of balancing operation times. This is done by means of a new matrix methodology that requires working with product functionalities instead of product references.

Suggested Citation

  • Anel, Juan Ignacio & Català, Pau & Serra, Moisès & Domenech, Bruno, 2022. "New Matrix Methodology for Algorithmic Transparency in Assembly Line Balancing Using a Genetic Algorithm," Operations Research Perspectives, Elsevier, vol. 9(C).
    • Handle: RePEc:eee:oprepe:v:9:y:2022:i:c:s2214716022000033
    DOI: 10.1016/j.orp.2022.100223
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    References listed on IDEAS

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    1. Öncü Hazir & Maher Agi & Jérémy Guérin, 2021. "An efficient branch and bound algorithm for smoothing the workloads on simple assembly lines," Post-Print hal-03160641, HAL.
    2. Michels, Adalberto Sato & Lopes, Thiago Cantos & Magatão, Leandro, 2020. "An exact method with decomposition techniques and combinatorial Benders’ cuts for the type-2 multi-manned assembly line balancing problem," Operations Research Perspectives, Elsevier, vol. 7(C).
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