Agri-food supply chain network design: A comprehensive review and future research directions

被引:0
作者
Chokri, Hamza [1 ]
Nouaouri, Issam [1 ]
Allaoui, Hamid [1 ]
Lasram, Frida Ben Rais [2 ]
机构
[1] Univ Artois, UR 3926, Lab Genie Informat & Automat Artois LGI2A, F-62400 Bethune, France
[2] Univ Lille, Univ Littoral Cote Opale, CNRS, UMR 8187 LOG Lab Oceanol & Geosci,IRD, F-62930 Wimereux, France
关键词
Agri-food; Supply chain management; Agri-food supply chain network design; OR in agriculture; Sustainability; Green supply chain; Resiliency; Susiliency; Perishability; Uncertainty; Artificial intelligence in agri-food; MULTIOBJECTIVE OPTIMIZATION; PERISHABLE PRODUCTS; OPERATIONAL-RESEARCH; ROBUST OPTIMIZATION; GENETIC ALGORITHM; LOCATION; FRAMEWORK; LOGISTICS; MODELS; UNCERTAINTY;
D O I
10.1016/j.cie.2025.111203
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Agri-Food Supply Chain Network Design (AFSCND) is a growing field of research, as it has been and continues to be crucial in ensuring food security. In modern supply chain design, strategic decisions increasingly reflect the interaction between profit-driven enterprises and sustainability-focused regulatory bodies. Despite the existence of several review papers, a systematic review that synthesizes and analyzes recent contributions to the design of agri-food supply chain networks, as a strategic decision, within a framework emphasizing perishability modeling, sustainability, resiliency, and the role of Artificial Intelligence (AI) is still needed. This paper aims to fill this gap by focusing on how the literature addresses (i) strategic decisions and their coordination with either the tactical, the operational levels, or both, within forward or closed-loop supply chains (CLSCs); (ii) perishability modeling, a critical characteristic of many agri-food products; (iii) solution approaches, key decision variables, and uncertainty modeling; and (iv) the integration of AI techniques at the strategic level of network design. By evaluating the interplay among these elements, our objective is to provide a clear overview of current advancements, identify research gaps, and propose future directions for designing sustainable and resilient agri-food supply chains.
引用
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页数:52
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