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Research on Risk Management of Fresh Agricultural Products Supply Chain Based on Fuzzy Analytic Hierarchy Process

Author

Listed:
  • Min Jiang
  • Liu Yang
  • Xiye Zhao

Abstract

There's a great improvement in people's requirements for food quality under the development of the economy, which leads to the nutrition and health of fresh agricultural products more and more loved by people. However, the characteristics of fresh produce itself, the inevitable high requirements for the surrounding environment and logistics level, and the unpredictable environment and relatively backward logistics development level inevitably increase the risks of the supply chain, the risk of fresh produce determines the need for research by practitioners and researchers concerned with fresh produce. This paper uses fuzzy analytic hierarchy process to analyze the risks in the fresh agricultural product supply chain, and summarizes the four models of China's fresh agricultural product supply chain enterprises, supermarket chains, wholesale markets, and fresh electronic business. There are six categories: production risk, demand risk, supply risk, cooperation risk, logistics risk, and environmental risk, thus establishing a risk evaluation indicator system. It is expected to put forward the risk management strategy to promote the supply chain development of fresh agricultural products.

Suggested Citation

  • Min Jiang & Liu Yang & Xiye Zhao, 2019. "Research on Risk Management of Fresh Agricultural Products Supply Chain Based on Fuzzy Analytic Hierarchy Process," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(10), pages 516-524.
    • Handle: RePEc:asi:ijoass:v:9:y:2019:i:10:p:516-524:id:3140
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    Citations

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    Cited by:

    1. Zhao, Xiaofei & Wang, Ping & Pal, Raktim, 2021. "The effects of agro-food supply chain integration on product quality and financial performance: Evidence from Chinese agro-food processing business," International Journal of Production Economics, Elsevier, vol. 231(C).
    2. ming, Luo & GuoHua, Zhou & Wei, Wei, 2021. "Study of the Game Model of E-Commerce Information Sharing in an Agricultural Product Supply Chain based on fuzzy big data and LSGDM," Technological Forecasting and Social Change, Elsevier, vol. 172(C).

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