Chan, Felix T.S., Kumar, Vikas ORCID: 0000-0002-8062-7123 and Tiwari, Manoj Kumar (2006) Optimizing the performance of an integrated process planning and scheduling problem: an AIS-FLC based approach. In: ICCIS 2006 - IEEE Conference on Cybernetics and Intelligent Systems, 7-9 June 2006, Bangkok, Thailand. ISBN 1-4244-0023-6
Abstract
The present market scenario demands an integration of process planning and scheduling to stay competitive with others. In the present work, an integrated process planning and scheduling model encapsulating the salient features of outsourcing strategy has been proposed. The paper emphasizes on the role of outsourcing strategy in optimizing the performance of enterprises in rapidly changing environment. In the present work authors have proposed an artificial immune system based AIS-FLC algorithm embedded with the fuzzy logic controller to solve the complex problem prevailing under such scenario, while simultaneously optimizing the performance. The authors have shown the efficacy of the proposed algorithm by comparing the results with other random search methods.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Subjects: | Engineering > Production engineering Computer Science > Artificial intelligence Computer Science > Algorithms |
DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School |
Published in: | IEEE Conference on Cybernetics and Intelligent Systems, 2006 Proceedings. . Institute of Electrical and Electronics Engineers. ISBN 1-4244-0023-6 |
Publisher: | Institute of Electrical and Electronics Engineers |
Official URL: | http://dx.doi.org/10.1109/ICCIS.2006.252319 |
Copyright Information: | ©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
ID Code: | 15773 |
Deposited On: | 02 Nov 2010 11:03 by Dr Vikas Kumar . Last Modified 25 Nov 2020 14:15 |
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