Technology Adoption in Food Supply Chain Management in Developing Countries: A Review

Netra Shah
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Abstract

Food loss and waste is one of the major reasons for global food insecurity. Food losses occur at all stages of the food supply chain, including agricultural produce, harvesting, transport, storage, and processing. Food loss and waste are exacerbated by a lack of adequate and effective food supply chain management (FSCM). An effective food supply chain (FSC) includes designing processing and distribution centres, managing the cold chain, and designing reverse logistics. It also includes functions like allocating warehouse storage capacity, vehicle routing and material flow issues, delivery scheduling, and inventory management issues. Adoption of new information technology such as big data and Internet of Things can improve FSC performance and have a significant impact on reducing food waste and loss. An effective system for sharing information can enhance FCC performance, and intelligence in automated retail ordering can prevent food spoilage, while machine learning, and blockchain can improve FSC traceability. However, there are several obstacles to the use of technology in the FSC, particularly in developing countries. These are classified as technical, financial, social, operational, educational, and governmental. This paper provides an in-depth review of the existing literature on the FSC, technology applications in improving FSCM, key challenges associated with technology adoption, and interventions that may help overcome these challenges. It adds to the existing literature on FSCM, especially on issues related to technology adoption in the FSC by developing countries, and is a useful resource for students, researchers and food supply chain professionals.
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发展中国家食品供应链管理中的技术采用:综述
粮食损失和浪费是全球粮食不安全的主要原因之一。粮食损失发生在粮食供应链的各个阶段,包括农产品、收获、运输、储存和加工。缺乏适当和有效的粮食供应链管理加剧了粮食损失和浪费。有效的食品供应链(FSC)包括设计加工和配送中心、管理冷链和设计逆向物流。它还包括诸如分配仓库存储容量、车辆路线和物料流问题、交付调度和库存管理问题等功能。采用大数据和物联网等新信息技术可以提高FSC的绩效,并对减少食物浪费和损失产生重大影响。有效的信息共享系统可以提高FCC的性能,自动化零售订购中的智能可以防止食品变质,而机器学习和区块链可以提高FSC的可追溯性。然而,在FSC中使用技术存在一些障碍,特别是在发展中国家。它们被分为技术、金融、社会、运营、教育和政府。本文深入回顾了现有的关于FSC的文献,改进FSCM的技术应用,与技术采用相关的关键挑战,以及可能有助于克服这些挑战的干预措施。它补充了现有的关于食品供应链管理的文献,特别是关于发展中国家在食品供应链管理中采用技术的问题,对学生、研究人员和食品供应链专业人员来说是一个有用的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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