Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
389012 | Expert Systems with Applications | 2007 | 11 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Kung-Jeng Wang, Y.-S. Lin,