A multi-objective genetic algorithm for assembly line resource assignment and balancing problem of type 2 (ALRABP-2)

Hager Triki (), Ahmed Mellouli () and Faouzi Masmoudi ()
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Hager Triki: University of Sfax
Ahmed Mellouli: University of Sousse
Faouzi Masmoudi: University of Sfax

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 2, No 7, 385 pages

Abstract: Abstract This paper presents a new extension of SALBP-2, so called assembly line resource assignment and balancing problem of type 2 (ALRABP-2). Two main differences from the existing literature are revealed in this work. The first is on the objective function which is a multiple one. It is aimed here to minimize both the cycle time and the cost per time unit (hour) of a line for a fixed number of stations to satisfy the constraints of precedence between tasks and compatibility between resources. The second difference lies in the proposed method to solve this problem. A new version of multi-objective genetic algorithm (MOGA) called hybrid MOGA (HMOGA) is elaborated. Full experiment design is used to obtain a better MOGA parameters combination. The effectiveness of the HMOGA was assessed through a set of literature problems. The performance of HMOGA shows a good quality of the fronts generated and a better problem-solving capacity for two optimisations.

Keywords: Assembly line balancing; Precedence and compatibility constraints; Cycle time; Cost per hour; Hybrid multi-objective genetic algorithm (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10845-014-0984-6

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