An agile approach for supply chain modeling

This paper proposes the generic label correcting (GLC) algorithm incorporated with the decision rules to solve supply chain modeling problems. The rough set theory is applied to reduce the complexity of data space and to induct decision rules. This proposed approach is agile because by combining var...

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Bibliographic Details
Published in:Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2009-05, Vol.45 (3), p.380-397
Main Authors: Huang, Chun Che, Liang, Wen Yau, Lin, Shian Hua
Format: Article
Language:English
Subjects:
Agility
Algorithms
Decision making models
Generic label correcting algorithm
Rough set
Set theory
Studies
Supply chain modeling
Supply chain modeling Agility Generic label correcting algorithm Rough set
Supply chains
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Summary:This paper proposes the generic label correcting (GLC) algorithm incorporated with the decision rules to solve supply chain modeling problems. The rough set theory is applied to reduce the complexity of data space and to induct decision rules. This proposed approach is agile because by combining various operators and comparators, different types of paths in the reduced networks can be solved with one algorithm. Furthermore, the four cases of the supply chain modeling are illustrated.
ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2008.09.013