Towards the Smart Sustainable and Circular Food Supply Chains Through Digital Technologies

Erhan Ada, Muruvvet Deniz Sezer, Y. Kazançoğlu, Raneen Khaleel
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引用次数: 1

Abstract

Food supply chain management has become a remarkable issue due to the increasing food waste caused by globalization and population growth. It is essential to gain understanding of the drivers of circular economy in food supply chains and investigate stimulating factors in the development of circular food supply chains. Thus, this study conducted a systematic literature review from 2008 to 2020, including an analysis of 137 articles performed on data to answer specific research questions regarding circular food supply chain drivers. Drivers for transition to circular economy in food supply chains are presented in five main categories with 22 sub-drivers. This research contributes to the existing literature by presenting a novel approach to digital transformation in smart food supply chains through the integration of Industry 4.0 technologies. The findings present potential drivers of circular economy in food supply chains for digital transformation. This study also ensures operational efficiencies by digital technologies in food supply chains that can be beneficial for practitioners.
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通过数字技术实现智能、可持续和循环的食品供应链
由于全球化和人口增长导致的食物浪费日益增加,食品供应链管理已经成为一个引人注目的问题。了解食品供应链中循环经济的驱动因素,研究食品循环供应链发展的激励因素至关重要。因此,本研究从2008年到2020年进行了系统的文献综述,包括对137篇文章的数据分析,以回答有关循环食品供应链驱动因素的具体研究问题。食品供应链向循环经济转型的驱动因素分为五大类,共22个子驱动因素。本研究提出了一种通过集成工业4.0技术实现智能食品供应链数字化转型的新方法,为现有文献做出了贡献。研究结果提出了食品供应链循环经济数字化转型的潜在驱动因素。这项研究还确保了食品供应链中数字技术的运营效率,这对从业者有益。
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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