Agricultural products supply chain risk assessment model construction and application in IOT environment

IF 1.3 4区农林科学 Q2 MATERIALS SCIENCE, PAPER & WOOD

Bioresources Pub Date : 2023-11-28 DOI:10.15376/biores.19.1.552-567

Yiming Lu

引用次数: 0

Abstract

This paper constructs the operation model of agricultural products supply chain under an IoT (Internet of Things) environment, based on which the HHM (Hodrick-Prescott Filter) model is used to identify the risk. The ISM (Internal Supply Management) model was used to analyze risk factors. A risk index system was constructed, which was divided into three primary indexes and 18 secondary indexes. The backpropagation (BP) neural network approach was used to establish the risk assessment model. The sample data from 2017 to 2020 was employed as the test sample to test the network assessment model. There was a very small error in the risk level assessment and training results. The results showed that the risk level assessment model was highly operable and can have practical value for effective assessment of the risk level.

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物联网环境下农产品供应链风险评估模型构建与应用

本文构建了物联网（IoT）环境下农产品供应链的运行模型，并在此基础上利用 HHM（Hodrick-Prescott Filter）模型识别风险。采用 ISM（内部供应管理）模型分析风险因素。构建了一个风险指标体系，分为三个一级指标和 18 个二级指标。采用反向传播（BP）神经网络方法建立风险评估模型。采用 2017 年至 2020 年的样本数据作为测试样本，对网络评估模型进行测试。风险等级评估和训练结果误差很小。结果表明，该风险等级评估模型可操作性强，对有效评估风险等级具有实用价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Bioresources 工程技术-材料科学：纸与木材

CiteScore

2.90

自引率

13.30%

发文量

397

审稿时长

2.3 months

期刊介绍： The purpose of BioResources is to promote scientific discourse and to foster scientific developments related to sustainable manufacture involving lignocellulosic or woody biomass resources, including wood and agricultural residues. BioResources will focus on advances in science and technology. Emphasis will be placed on bioproducts, bioenergy, papermaking technology, wood products, new manufacturing materials, composite structures, and chemicals derived from lignocellulosic biomass.