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• W2944041128 abstract "Assembly lines dedicated to the production of large products often allow multiple workers to perform tasks simultaneously on the product. Previous works on such multi-manned lines define workstations with fixed, discrete, and restrictive frontiers, despite commonly considering continuous paced line control. This paper proposes flexible station frontiers for multi-manned lines and shows that such innovation allows significantly shorter line lengths. A new Mixed Integer Linear Programming model and a novel model-based heuristic procedure are presented to describe and optimize lines. Algorithmic lower bounds are also introduced for the problem. The formulation was compared to a literature benchmark of regular multi-manned solutions. These experiments showed that flexible multi-manned formulations can lead to line length reductions of up to 42%. Such reductions were obtained for most instances (81 out of 88), with an average value of 18%. The relationship between cycle time and minimal line length is also analyzed, demonstrating that efficient solution sets can be continuous or discrete, depending on the instance." @default.
• W2944041128 created "2019-05-16" @default.
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• W2944041128 date "2020-09-01" @default.
• W2944041128 modified "2023-10-14" @default.
• W2944041128 title "Flexible multi-manned assembly line balancing problem: Model, heuristic procedure, and lower bounds for line length minimization" @default.
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• W2944041128 doi "https://doi.org/10.1016/j.omega.2019.04.006" @default.
• W2944041128 hasPublicationYear "2020" @default.
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