What impedes digital twin from revolutionizing agro-food supply chain? Analysis of barriers and strategy development for mitigation

IF 6.9 2区 管理学 Q1 MANAGEMENT Operations Management Research Pub Date : 2024-03-08 DOI:10.1007/s12063-024-00444-w
Vinay Surendra Yadav, Abhijit Majumdar
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Abstract

Digital Twin (DT) is a technology platform that is revolutionizing the supply chain digitization process by creating virtual representations of physical systems. Agro-food supply chain (AFSC) is one of the most important supply chains that can be made more efficient by widespread adoption of DT. However, the adoption and implementation of DT in AFSC is very limited due to various hindrances. Thus, it is imperative to identify and analyze the DT barriers thoroughly; and subsequently, develop strategies to overcome the dominant barriers for the successful implementation of DT in AFSC. This study identifies the barriers to DT implementation through a literature review and experts’ opinions. The interaction amongst the barriers is captured using the “Weighted Influence Non-linear Gauge System (WINGS)” method. Lack of technology infrastructure, technology immaturity, and high capital investment emerge as the dominant causal barriers. Furthermore, to overcome the identified barriers, a framework based on a triple helix approach is suggested. The findings of the study will be useful for government agencies, policymakers, agricultural institutions, and agro-food industry stakeholders to eliminate the obstacles to the successful implementation of DT in AFSC.

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是什么阻碍了数字孪生技术彻底改变农业食品供应链?障碍分析与缓解战略制定
数字孪生(DT)是一个技术平台,它通过创建物理系统的虚拟表示,正在彻底改变供应链的数字化进程。农业食品供应链(AFSC)是最重要的供应链之一,广泛采用数字孪生技术可以提高供应链的效率。然而,由于各种障碍,农业食品供应链采用和实施虚拟技术的程度非常有限。因此,当务之急是彻底识别和分析数据传输障碍,并制定战略来克服主要障碍,以便在美国粮食服务中心成功实施数据传输。本研究通过文献综述和专家意见,确定了实施数据传输的障碍。使用 "加权影响非线性测量系统(WINGS)"方法捕捉障碍之间的相互作用。缺乏技术基础设施、技术不成熟和高资本投资成为主要的因果障碍。此外,为克服所发现的障碍,还提出了一个基于三重螺旋方法的框架。研究结果将有助于政府机构、政策制定者、农业机构和农业食品行业利益相关者消除在农业食品安全中心成功实施 DT 的障碍。
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来源期刊
CiteScore
6.20
自引率
23.30%
发文量
104
期刊介绍: Operations Management Research is a peer-reviewed journal that focuses on rapidly publishing high-quality research in the field of operations management. It aims to advance both the theory and practice of operations management across a wide range of topics and research paradigms. The journal covers all aspects of operations management, including manufacturing, supply chain, health care, and service operations. It welcomes various research methodologies, such as case studies, action research, surveys, mathematical modeling, and simulation. The goal of Operations Management Research is to promote research that enhances both the theory and practice of operations management, as it is an applied discipline. The journal also publishes Academic Notes, which are special papers that address research methodologies, the direction of the operations management field, and other topics of interest to academicians. Additionally, there is a demand for shorter and more focused research articles in operations management, which this journal aims to fulfill.
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