The Proceedings of Design & Systems Conference
Online ISSN : 2424-3078
2013.23
Session ID : 1404
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1404 A Study on Optimizing Organization structure using genetic algorithm
Taiga MITSUYUKIHiroyuki YAMATOKazuo HIEKATABiyan MOSER
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
This paper proposes the methodology of optimizing organization structure by using genetic algorithm and process simulator. It is important for designing organization structure to consider not only normal process but also troubleshooting by coordination between each member. Behavior of each member in organization structure are modeled in developed process simulator. Each organization structure is evaluated by using developed process simulator repeatedly in genetic algorithm. Genotype is designed to describe organization structure from the list of members. F or deciding good organization structure, genetic algorithm search for minimizing total cost and the one for minimizing time required are done respectively. Pareto optimal organization structures considering total cost and time required are extracted from the records on these searches. Organization design can be supported by visualizing these structures to designer. Proposed methodology was applied to ship design project. Results show that proposed methodology can propose good organization structures on the basis of total cost and time required. In addition to this, the difference between the organization structure considering total cost and the one considering time required can be analyzed by proposed methodology.
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© 2013 The Japan Society of Mechanical Engineers
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