Evaluation of the agri-food supply chain risks: the circular economy context

多准则决策分析 供应链 利益相关者 业务 脆弱性(计算) 排名(信息检索) 背景(考古学) 独创性 消费(社会学) 循环经济 营销 订单(交换) 风险分析(工程) 产品(数学) 风险管理 环境经济学 经济 计算机科学 运筹学 工程类 数学 财务 生物 创造力 政治学 生态学 法学 管理 社会科学 古生物学 计算机安全 社会学 机器学习 几何学
作者
Mladen Krstić,Valerio Elia,Giulio Paolo Agnusdei,Federica De Leo,Snežana Tadić,Pier Paolo Miglietta
出处
期刊:British Food Journal [Emerald (MCB UP)]
卷期号:126 (1): 113-133 被引量:24
标识
DOI:10.1108/bfj-12-2022-1116
摘要

Purpose Circular supply chains (CSC) are particularly important for the agri-food sector, which faces strict requirements generated by increased food consumption as a consequence of world population growth, changes in lifestyle, development of consumer society and increasing health awareness. Recent disruptive factors have placed the vulnerability of agri-food supply chains in the spotlight. Therefore, the purpose of this paper was to identify the most manageable groups of risks in order to ensure the smooth operation of agri-food circular supply chains. Design/methodology/approach Seven main risk groups were evaluated in relation to nine criteria. To solve this multi-criteria decision making (MCDM) problem, a novel MCDM model, which integrates the best-worst method (BWM) and the COmprehensive distance-Based RAnking (COBRA) method in a grey environment, was developed. Findings Three risks were singled out, namely, product features risks, logistics risks and managerial risks. The obtained risks are those whose management would create the most positive effects for the stakeholders and help them achieve their primary goals regarding the circularity of agri-food supply chains. Originality/value This study investigates the main characteristics of the CSC in the agri-food sector, identifies, simultaneously explores and ranks all main risk groups associated with them and expands the possibilities for solving these kinds of problems by developing a novel MCDM model. It also identifies the most significant risks, both for individual stakeholders and for all stakeholder groups together.

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