Chan, Felix T.S. and Kumar, Vikas ORCID: 0000-0002-8062-7123 (2009) Performance optimization of a leagility inspired supply chain model: a CFGTSA algorithm based approach. International Journal of Production Research, 47 (3). pp. 777-799. ISSN 1366-588X
Abstract
Lean and agile principles have attracted considerable interest in the past few decades. Industrial sectors throughout the world are upgrading to these principles to enhance their performance, since they have been proven to be efficient in handling supply chains. However, the present market trend demands a more robust strategy incorporating the salient features of both lean and agile principles. Inspired by these, the leagility principle has emerged, encapsulating both lean and agile features. The present work proposes a leagile supply chain based model for manufacturing industries. The paper emphasizes the various aspects of leagile supply chain modeling and implementation and proposes a new Hybrid Chaos-based Fast Genetic Tabu Simulated Annealing (CFGTSA) algorithm to solve the complex scheduling problem prevailing in the leagile environment. The proposed CFGTSA algorithm is compared with the GA, SA, TS and Hybrid Tabu SA algorithms to demonstrate its efficacy in handling complex scheduling problems.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Subjects: | Engineering > Production engineering Computer Science > Artificial intelligence Computer Science > Algorithms |
DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School |
Publisher: | Taylor and Francis |
Official URL: | http://dx.doi.org/10.1080/00207540600844068 |
Copyright Information: | Copyright 2009 Taylor & Francis |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 15771 |
Deposited On: | 02 Nov 2010 11:17 by Dr Vikas Kumar . Last Modified 25 Nov 2020 14:12 |
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