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

Parisa Sadeghi, Rui Diogo Rebelo and José Soeiro Ferreira

Operations Research Perspectives, 2021, vol. 8, issue C

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.

Keywords: Mixed-model assembly line sequencing problem; Variable neighbourhood descent; Genetic algorithms; Dispatching rules (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:8:y:2021:i:c:s2214716021000154

DOI: 10.1016/j.orp.2021.100193

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