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Journal Article Integrated Assembly Line Balancing with Resource Restrictions
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Authors
llk Yeong Moon, Rasaratnam Logendran, Jeong Hun Lee
Issue Date
2009-10
Citation
International Journal of Production Research, v.47, no.19, pp.5525-5541
ISSN
0020-7543
Publisher
Taylor & Francis
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1080/00207540802089876
Project Code
08MD1200, Development of Real-time Postal Logistics System, Jong Heung Park
Abstract
This paper documents a study carried out on the problem of designing an integrated assembly line when many workers with a variety of skills are employed. This study addresses the problem of selecting multi-functional workers with different salaries to match their skills and of assigning tasks to work stations when there are precedence restrictions among the tasks. The objective of this study is to minimise the total annual work station costs and the annual salary of the assigned workers within a predetermined cycle time. A mixed integer linear program is developed with a genetic algorithm in order to address the problem of resource restrictions related to integrated assembly line balancing. Numerical examples demonstrate the efficiency of the developed genetic algorithm.
KSP Keywords
Cycle Time, Genetic Algorithm, Mixed-Integer Linear Programming(MILP), Numerical examples, assembly line balancing, multi-functional, paper documents