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An agile approach for supply chain modeling

  • Huang, Chun Che
  • Liang, Wen Yau
  • Lin, Shian Hua
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    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.

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    Article provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.

    Volume (Year): 45 (2009)
    Issue (Month): 3 (May)
    Pages: 380-397

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    Handle: RePEc:eee:transe:v:45:y:2009:i:3:p:380-397
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