Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain

IF 3.6 Q2 MANAGEMENT Logistics-Basel Pub Date : 2023-06-12 DOI:10.3390/logistics7020033
Tsega Y. Melesse, Chiara Franciosi, V. Pasquale, S. Riemma
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引用次数: 1

Abstract

Background: Digital twins have the potential to significantly improve the efficiency and sustainability of the agri-food supply chain by providing visibility, reducing bottlenecks, planning for contingencies, and improving existing processes and resources. Additionally, they can add value to businesses by lowering costs and boosting customer satisfaction. This study is aimed at responding to common scientific questions on the application of digital twins in the agri-food supply chain, focusing on the benefits, types, integration levels, key elements, implementation steps, and challenges. Methods: This article conducts a systematic literature review of recent works on agri-food supply chain digital twins, using a list of peer-reviewed studies to analyze concepts using precise and well-defined criteria. Thus, 50 papers were selected based on inclusion and exclusion criteria, and descriptive and content-wise analysis was conducted to answer the research questions. Conclusions: The implementation of digital twins has shown promising advancements in addressing global challenges in the agri-food supply chain. Despite encouraging signs of progress in the sector, the real-world application of this solution is still in its early stages. This article intends to provide firms, experts, and researchers with insights into future research directions, implications, and challenges on the topic.
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浅析数字孪生在农产品供应链中的实现
背景:数字双胞胎有潜力通过提供可见性、减少瓶颈、应急计划以及改进现有流程和资源,显著提高农业食品供应链的效率和可持续性。此外,他们还可以通过降低成本和提高客户满意度来为企业增加价值。本研究旨在回答关于数字双胞胎在农业食品供应链中应用的常见科学问题,重点关注其好处、类型、集成水平、关键要素、实施步骤和挑战。方法:本文对农业食品供应链数字双胞胎的最新研究进行了系统的文献综述,使用同行评审的研究列表,使用精确和明确的标准分析概念。因此,根据纳入和排除标准选择了50篇论文,并进行了描述性和内容分析来回答研究问题。结论:数字双胞胎的实施在应对农业食品供应链的全球挑战方面显示出了有希望的进展。尽管该行业出现了令人鼓舞的进展迹象,但该解决方案在现实世界中的应用仍处于早期阶段。本文旨在为企业、专家和研究人员提供对该主题未来研究方向、影响和挑战的见解。
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来源期刊
Logistics-Basel
Logistics-Basel Multiple-
CiteScore
6.60
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊最新文献
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