Evaluation of the influence of dominance rules for the assembly line design problem under consideration of product design alternatives. Issue 6 (3rd June 2018)

• Record Type: Journal Article
• Authors: Oesterle, Jonathan; Lionel, Amodeo
• Is Part Of: Engineering optimization. Volume 50:Issue 6(2018)
• Page Start: 982
• Page End: 995
• Publication Date: 2018-06-03
• Subjects: Multi-objective optimization -- assembly line design problem -- evolutionary algorithm -- swarm intelligence; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2017.1378875
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: The current competitive situation increases the importance of realistically estimating product costs during the early phases of product and assembly line planning projects. In this article, several multi-objective algorithms using difference dominance rules are proposed to solve the problem associated with the selection of the most effective combination of product and assembly lines. The list of developed algorithms includes variants of ant colony algorithms, evolutionary algorithms and imperialist competitive algorithms. The performance of each algorithm and dominance rule is analysed by five multi-objective quality indicators and fifty problem instances. The algorithms and dominance rules are ranked using a non-parametric statistical test.