A Genetic Algorithm for the Mixed-Model U-Line Balancing Problem

Hai Dong; Jian Hua Cao; Wei Ling Zhao

doi:10.4028/www.scientific.net/AMR.694-697.3391

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A Genetic Algorithm for the Mixed-Model U-Line Balancing Problem
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Design for Enterprise Asset Management Evaluation System of Power Generation Enterprises Based on KPI
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Research on Collaborative Management Strategy of Spare Parts Based on E-Marketplaces
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697A Genetic Algorithm for the Mixed-Model U-Line...

A Genetic Algorithm for the Mixed-Model U-Line Balancing Problem

Abstract:

This paper presents a multi-objective genetic algorithm to solve the U-shaped assembly line balancing problem. The performance criteria for the number of workstations and the variation of workload are considered. The results of experiments show that the proposed model produced as good or even better line efficiency of workstation integration and improved the variation of workload.