Titre :

Agri-Food Supply Chain Network Design: A Comprehensive Review and Future Research Directions

Auteur(s) :

Chokri, Hamza [Auteur]
Laboratoire de Génie Informatique et d'Automatique de l'Artois [LGI2A]
Université d'Artois [UA]
Nouaouri, Issam [Auteur]
Laboratoire de Génie Informatique et d'Automatique de l'Artois [LGI2A]
Université d'Artois [UA]
Allaoui, Hamid [Auteur]
Laboratoire de Génie Informatique et d'Automatique de l'Artois [LGI2A]
Université d'Artois [UA]
Ben Rais Lasram, Frida [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]

Titre de la revue :

SSRN Electronic Journal

Pagination :

39p. / Id n° 4913329

Éditeur :

Elsevier

Date de publication :

2024-08-01

Mot(s)-clé(s) en anglais :

Agri-Food chain management
Agri-food supply chain network design
Sustainability
Perishability
Uncertainty
Artificial intelligence in agri-food

Discipline(s) HAL :

Informatique [cs]

Résumé en anglais : [en]

The Agri-Food Supply Chain Network Design (AFSCND) has garnered significant attention recently due to its critical role in ensuring food security, a cornerstone of societal well-being. Various challenges, including climate ...
Lire la suite >The Agri-Food Supply Chain Network Design (AFSCND) has garnered significant attention recently due to its critical role in ensuring food security, a cornerstone of societal well-being. Various challenges, including climate change, pandemics like COVID-19, and economic, environmental, and social pressures, underscore the necessity for reevaluating supply chain planning. Contemporary decisions in supply chain design reflect a dynamic interplay between profit-seeking businesses and sustainability-oriented regulatory bodies. Over the past decade, numerous scholarly works have highlighted the pivotal role of AFSCND, prompting engineers and researchers to reassess their policies and practices. This paper provides a comprehensive review of the contributions in AFSCND. It starts with an exploration of network structures, characteristics, and paradigms, emphasizing sustainability considerations. Moreover, it surveys current resolution techniques, with a particular focus on the increasing application of Artificial Intelligence (AI) in this domain, and discusses key decisionmaking frameworks. The perishable nature of many agri-food products is also investigated within network design. For managing uncertainties, approaches such as stochastic programming, robust programming, and other relevant methods that incorporate uncertainty parameters and modeling are also discussed. Finally, the review identifies drawbacks and gaps within the existing literature, emphasizing areas warranting further investigation. It concludes by outlining potential avenues for future research directions in the field of AFSCND.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Transdisciplinary graduate school for marIne, Fisheries and SEAfood sciences

Collections :

• Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187

Source :

Harvested from HAL

Date de dépôt :

2025-01-23T17:14:34Z