Diagnosis Method and Empirical Study of Supply Chain Performance Based on Bayesian Network

Cong Hui Zhang; Nan Zhao; Zhan Wen Niu; Wei Guo

doi:10.4028/www.scientific.net/AMR.712-715.3044

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715Diagnosis Method and Empirical Study of Supply...

Diagnosis Method and Empirical Study of Supply Chain Performance Based on Bayesian Network

Abstract:

Aimed at the complexity and uncertainty of the diagnosis analysis of supply chain performance, this paper proposes a kind of diagnosis method of supply chain performance based on Bayesian network (BN). Based on the self-adaptive fuzzy interpretive structural model proposed in this paper, effective information could be provided to the structural learning of BN to enhance the modeling precision and reliability. Finally, according to investigating supply chain performance data of C Group, BN diagnosis model of supply chain operational cost is established. The consistent empirical analytical result and management practice prove the validity and feasibility of the method in this paper.

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Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

3044-3048

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.712-715.3044

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Online since:

June 2013

Authors:

Cong Hui Zhang, Nan Zhao, Zhan Wen Niu, Wei Guo*

Keywords:

Bayesian Network (BN), ISM, Performance, Supply Chain

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* - Corresponding Author

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