农业食品供应链风险评估:基于技术和方法的综述

D. Paillin, M. Machfud, H. Hardjomidjojo, Muhammad Romli
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引用次数: 0

摘要

农业食品供应链中的风险评估对于管理与食品生产、分销和消费相关的复杂性和不确定性至关重要。本研究旨在对农业食品供应链风险评估中使用的风险和绘图技术或方法进行分类。绘制农产食品供应链风险评估技术或方法的工作是根据系统综述和元分析首选报告项目(PRISMA)框架进行的,该框架包括识别、筛选资格和纳入等几个阶段,最终共筛选出 72 篇相关期刊论文。这些文章选自 58 种具有高影响因子和排名的期刊。文献综述结果表明,农业食品供应链风险分类与风险评估有很大关系:宏观风险、公司外部运营风险和内部风险。此外,研究最多的农业食品是普通食品(44%)、园艺产品(28%)、肉类产品(11%)、乳制品(10%)、水产品(6%)和面包产品(1%)。在评估农业食品供应链风险时,最广泛使用的技术和方法是半定量(49.3%)、定量(31.5%)、混合(12.3%)和定性(6.9%)。由于有关农业食品供应链风险管理的文献浩如烟海、错综复杂、难以把握,因此,通过确定这些技术和方法,可以加快研究界对所研究课题的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agro-Food Supply Chain Risk Assessment: A Review Based on Technique and Approach
Risk assessment in agro-food supply chains is crucial in managing the complexity and uncertainty associated with food product production, distribution, and consumption. This study aims to classify risks and mapping techniques or approaches used in risk assessment of agro-food product supply chains. Mapping technique or approaches to risk assessment of agro-food supply chains was carried out based on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) framework, which consists of several stages of identification, screening eligibility, and inclusion, resulting in a total of 72 relevant journal articles. They were selected from 58 different journals with high-impact factors and rankings. The literature review results show that agro-food's supply chain risk classification has much to do with risk assessment: macro-level risk, operational risk outside the company, and internal risk. Furthermore, the most studied agro-food products are general food (44%), horticultural products (28%), meat products (11%), dairy products (10%), fishery products (6%) and bread products (1%). The techniques and approaches most widely used in assessing the risk of the agro-food supply chain are semi-quantitative (49.3%), quantitative (31.5%), mixed (12.3%), and qualitative (6.9%). A better knowledge of the topic being addressed in the research community is sped up by identifying these techniques and approaches since the literature on supply chain risk management for agro-food is voluminous, complicated, and challenging to grasp.
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