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Combining local search into non-dominated sorting for multi-objective line-cell conversion problem

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Multi-objective decision-making is often used in line-cell conversion problem. It is the key issue of developing line-cell conversion successfully. In this article, a multi-objective optimisation model is proposed to investigate two line-cell conversion performances: the total throughput time and the total labour hours. It is proved that the model is a non-deterministic polynomial (NP)-hard problem and its Pareto-optimal front is non-convex. Owing to the properties of cell formation and cell loading in line-cell conversions, an approach of combining local search into non-dominated sorting genetic algorithm II is proposed to obtain better non-dominated solutions. Several numerical simulation experiments are performed to show the utility and performance of our approach.
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Keywords: line-cell conversion; local search; multi-objective optimisation; non-dominated sorting genetic algorithm

Document Type: Research Article

Affiliations: 1: Institute of Systems Engineering, State Key Laboratory of Synthetic Automation for Process Industries, Northeastern University, Shenyang,110819, P.R. China 2: College of Business Administration, Liaoning University, Shenyang,110136, P.R. China 3: Department of Economics and Business Management,Yamagata University, Yamagata,990-8560, Japan 4: Faculty of Environmental and Information Studies,Tokyo City University, Yokohama,224-8551, Japan

Publication date: April 1, 2013

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