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Risk analysis in the management of a green supply chain

Author

Listed:
  • Zhiqin Zou

    (China University of Petroleum)

  • Arash Farnoosh

    (IFPEN - IFP Energies nouvelles)

  • Tom Mcnamara

    (ESC [Rennes] - ESC Rennes School of Business)

Abstract

In order to implement or maintain a green supply chain (GSC) that produces goods and services responsibly and sustainably, supply chain managers should use tools that allow for the efficient identification, quantification, and mitigation of the ever‐present risks. The objective of the present research is to identify the risk factors associated with the processes involved in GSC management. Based on an analysis of the characteristics of GSC risk, the authors put forward a list of risk design principles and a risk criteria evaluation system for a GSC. Gray relation analysis method was then used to clarify the degree of connection between certain supply chain risk factors and select key risk factors. Finally, Back Propagation Artificial Neural Network (BP‐ANN) method was used to determine the risk level associated with a GSC. The determination of risk level will help companies to develop effective strategic management initiatives in a GSC environment.

Suggested Citation

  • Zhiqin Zou & Arash Farnoosh & Tom Mcnamara, 2021. "Risk analysis in the management of a green supply chain," Post-Print hal-03181313, HAL.
    • Handle: RePEc:hal:journl:hal-03181313
    DOI: 10.1002/jsc.2383
    Note: View the original document on HAL open archive server: https://rennes-sb.hal.science/hal-03181313
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    References listed on IDEAS

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    1. Chih-Hung Hsu & Ru-Yue Yu & An-Yuan Chang & Wan-Ling Liu & An-Ching Sun, 2022. "Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks," Mathematics, MDPI, vol. 10(4), pages 1-41, February.

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