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

Min Jiang, Liu Yang, Xiye Zhao
2019 International Journal of Asian Social Science  
Article History Keywords Fresh agricultural supply chain Risk management Fuzzy hierarchy analysis Fresh produce The supply chain Six major risks. 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
more » ... ogistics 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. Contribution/ Originality: The main contribution of this paper is to discover the four models of China's fresh agricultural products processing enterprise supply chain, chain supermarkets, wholesale markets, and fresh electronic business. The production risks, demand risks, supply risks, and risk factors of fresh agricultural product supply chain risk factors are summarized. Six risks of cooperation risk, logistics risk and environmental risk, and establish a risk evaluation index system.
doi:10.18488/journal.1.2019.910.516.524 fatcat:k2xsspxpkbfe3nx46bamuyqsm4