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An agile approach for supply chain modeling

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

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.

Suggested Citation

  • Huang, Chun Che & Liang, Wen Yau & Lin, Shian Hua, 2009. "An agile approach for supply chain modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(3), pages 380-397, May.
    • Handle: RePEc:eee:transe:v:45:y:2009:i:3:p:380-397
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    Cited by:

    1. Chun-Che Huang & Wen-Yau Liang & Tzu-Liang Tseng & Ping-Houa Chen, 2016. "The rough set based approach to generic routing problems: case of reverse logistics supplier selection," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 781-795, August.

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