Enhancing resilience and reducing waste in food supply chains: a systematic review and future directions leveraging emerging technologies

【Author】 Seyam, Asmaa; Ei Barachi, May; Zhang, Cheng; Du, Bo; Shen, Jun; Mathew, Sujith Samuel

【Source】INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS

【影响因子】5.992

【Abstract】The sustainability of food supply chains is gaining increasing attention, particularly after the COVID-19 pandemic. A food supply system that simultaneously prioritises resilience and minimises wastage is crucial. It is found that many studies have explored reducing food waste and increasing supply chain resilience as separate objectives, but research is scarce investigating both objectives in conjunction. This paper presents a comprehensive systematic review focusing on existing solutions to reducing food waste and enhancing resilience. It discusses future directions, particularly leveraging emerging technologies such as the Internet of Things, blockchain, artificial intelligence, and machine learning. The studies are categorised into three main topics: crisis resilience solutions, food waste reduction solutions, and integrated solutions. The literature review reveals a lack of empirical and practical solutions for concurrently improving resilience and decreasing food waste. Further in-depth investigations are necessary to propose practical and integrated approaches that tackle both challenges jointly.

【Keywords】Food supply chain; resilience; food waste; sustainability; integrated solutions; emerging technologies

【发表时间】2024 2024 SEP 25

【收录时间】2024-10-04

【文献类型】综述

【主题类别】

区块链应用-实体经济-食品供应链