A Genetic Algorithm For Cell-Load Problem With Multiple-Objectives

Ristono, Agus (2009) A Genetic Algorithm For Cell-Load Problem With Multiple-Objectives. In: Prosiding Seminar Nasional Waluyo Jatmiko: Competing Through Manufacturing By Using Sustainable Supply Chain Management And Sustainable Manufacturing Concept, 16 Juni 2009, Surabaya, Indonesia.

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Abstract

This paper presents a genetic algorithm (GA) approach to the cell-load problem with multiple objectives: minimizing make-span and the total load variation within cell. Manufacturing cells are formed based on production data, e.g. part routing sequence, production volume, and workload. Also, we will discuss the implication of make-span to deal with it. Special genetic operators are developed and an experiment is performed. Finally, the results obtained with the proposed algorithm on the tested problems are compared with those of the same algorithm but only use the second objective function. The result shows that using multiple objectives together is better than only use one objective function.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Genetic Algorithm, cell-load, total load variation, make-span, multiple objective
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Dr. ST, MT AGUS RISTONO
Date Deposited:	10 Apr 2023 06:17
Last Modified:	10 Apr 2023 06:17
URI:	http://eprints.upnyk.ac.id/id/eprint/34157

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