Resource allocation by genetic algorithm with fuzzy inference

Authors:
Kung-Jeng Wang;Y. -S. Lin
Affiliations:
Department of Industrial Management, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei 106, Taiwan, ROC;Department of Industrial Engineering and Engineering Management, National Tseng Hwa University, Hsinchu 300, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2007

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Abstract

Assuming that a make-to-order manufacturing company has customer orders, the addressed capacity allocation problem is a due-date assignment problem for multiple manufacturing resources. The purpose of this study is to develop an intelligent resource allocation model using genetic algorithm and fuzzy inference for reducing lateness of orders with specific due dates. While the genetic algorithm is responsible for arranging and selecting the sequence of orders, the fuzzy inference module conveys how resources are allocated to each order. Experimental results showed that the proposed model has solved the capacity allocation problem efficiently.