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Using variable neighbourhood descent and genetic algorithms for sequencing mixed-model assembly systems in the footwear industry

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  • Sadeghi, Parisa
  • Rebelo, Rui Diogo
  • Ferreira, José Soeiro

Abstract

This paper addresses a new Mixed-model Assembly Line Sequencing Problem in the Footwear industry. This problem emerges in a large company, which benefits from advanced automated stitching systems. However, these systems need to be managed and optimised. Operators with varied abilities operate machines of various types, placed throughout the stitching lines. In different quantities, the components of the various shoe models, placed in boxes, move along the lines in either direction. The work assumes that the associated balancing problems have already been solved, thus solely concentrating on the sequencing procedures to minimise the makespan.

Suggested Citation

  • Sadeghi, Parisa & Rebelo, Rui Diogo & Ferreira, José Soeiro, 2021. "Using variable neighbourhood descent and genetic algorithms for sequencing mixed-model assembly systems in the footwear industry," Operations Research Perspectives, Elsevier, vol. 8(C).
    • Handle: RePEc:eee:oprepe:v:8:y:2021:i:c:s2214716021000154
    DOI: 10.1016/j.orp.2021.100193
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    References listed on IDEAS

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    1. Intalar Nuchjarin & Chumnumporn Kwanchanok & Jeenanunta Chawalit & Tunpan Apinun, 2021. "Towards Industry 4.0: digital transformation of traditional safety shoes manufacturer in Thailand with a development of production tracking system," Engineering Management in Production and Services, Sciendo, vol. 13(4), pages 79-94, December.

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