Visible to the public Risk Evaluation of Agricultural Product Supply Chain Based on BP Neural Network

TitleRisk Evaluation of Agricultural Product Supply Chain Based on BP Neural Network
Publication TypeConference Paper
Year of Publication2019
AuthorsXuefeng, He, Chi, Zhang, Yuewu, Jing, Xingzheng, Ai
Conference Name2019 16th International Conference on Service Systems and Service Management (ICSSSM)
Date Publishedjul
ISBN Number978-1-7281-1941-0
Keywordsagricultural product supply chain, agricultural product supply chain risk evaluation index system, agricultural products, agricultural safety, Agriculture, Backpropagation, BP Neural Network, BP neural network method, Collaboration, composability, empirical analysis, Human Behavior, human factors, Indexes, Metrics, neural nets, policy-based governance, product safety, pubcrawl, resilience, Resiliency, risk assessment model, risk evaluation, risk management, Scalability, supply chain management, supply chain risk, supply chain risk assessment, Supply chains, Uncertainty
Abstract

The potential risk of agricultural product supply chain is huge because of the complex attributes specific to it. Actually the safety incidents of edible agricultural product emerge frequently in recent years, which expose the fragility of the agricultural product supply chain. In this paper the possible risk factors in agricultural product supply chain is analyzed in detail, the agricultural product supply chain risk evaluation index system and evaluation model are established, and an empirical analysis is made using BP neural network method. The results show that the risk ranking of the simulated evaluation is consistent with the target value ranking, and the risk assessment model has a good generalization and extension ability, and the model has a good reference value for preventing agricultural product supply chain risk.

URLhttps://ieeexplore.ieee.org/document/8887744
DOI10.1109/ICSSSM.2019.8887744
Citation Keyxuefeng_risk_2019