An agile approach for supply chain modeling

Chun Che Huang, Wen-Yau Liang, Shian Hua Lin

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)380-397
Number of pages18
JournalTransportation Research Part E: Logistics and Transportation Review
Volume45
Issue number3
DOIs
Publication statusPublished - 2009 Jan 1

Fingerprint

Supply chains
supply
set theory
Rough set theory
Labels
Supply chain modeling
Decision rules
Operator

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

Cite this

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An agile approach for supply chain modeling. / Huang, Chun Che; Liang, Wen-Yau; Lin, Shian Hua.

In: Transportation Research Part E: Logistics and Transportation Review, Vol. 45, No. 3, 01.01.2009, p. 380-397.

Research output: Contribution to journalArticle

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