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Task allocation using case‐based reasoning for distributed manufacturing systems

K.L. Choy (Assistant Professor, Department of Manufacturing Engineering, Hong Kong Polytechnic University, Hong Kong.)
W.B. Lee (Head, Department of Manufacturing Engineering, Hong Kong Polytechnic University, Hong Kong.)

Logistics Information Management

ISSN: 0957-6053

Article publication date: 1 June 2000

Abstract

Introduces a case‐based management system (CBMS) for decision making such as allocating tasks under a distributed manufacturing environment. The distributed manufacturing environment can be viewed as a multi‐agent system in which each manufacturing plant is an agent to produce the whole or part of the products ordered by the customers. The knowledge is represented as cases in the system which can be reused to produce new solutions. This learn‐by‐experience approach provides a particular strength to case‐based reasoning over most other AI methods. The effectiveness of the proposed concept is demonstrated by applying the CBMS to a task allocation example. By using the CBMS approach, tasks or jobs can be assigned to appropriate agents effectively. Moreover, CBMS can be used locally or globally via WAN or Internet with high‐security protection as a knowledge management system in small and medium enterprises.

Keywords

Citation

Choy, K.L. and Lee, W.B. (2000), "Task allocation using case‐based reasoning for distributed manufacturing systems", Logistics Information Management, Vol. 13 No. 3, pp. 167-176. https://doi.org/10.1108/09576050010326565

Publisher

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MCB UP Ltd

Copyright © 2000, MCB UP Limited