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

Juan Ignacio Anel, Pau Català, Moisès Serra and Bruno Domenech

Operations Research Perspectives, 2022, vol. 9, issue C

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.

Keywords: Manufacturing; Mixed-Model Assembly Line Balancing; Algorithmic Transparency; new matrix methodology; Balanced optimization tool for SME (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:9:y:2022:i:c:s2214716022000033

DOI: 10.1016/j.orp.2022.100223

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