[论文解读] Quantitative Analysis of Implementation Challenges of IoT-Based Digital Supply Chain (Supply Chain 0/4)

Hamed Nozari, Mohammad Ebrahim Sadeghi+2 more|arXiv (Cornell University)|Jun 17, 2022

Supply Chain Resilience and Risk Management被引用 6

一句话总结

本文采用非线性层次分析法对快消品（FMCG）行业专家在物联网（IoT）数字供应链实施中的挑战进行了定量分析。研究识别出技术基础设施不足和安全挑战为最主要的障碍，强调其在成功实现供应链0/4（Supply Chain 0/4）中的关键作用。

ABSTRACT

Over the past thirty years, logistics has undergone tremendous change from a purely operational performance that led to sales or production and focused on securing supply and delivery lines to customers, with the transformation of intelligent technologies into a professional operator. In today's world, the fourth generation of industry has forced companies to rethink how their supply chain is designed. In this case, in addition to the need for adaptation, supply chains also have the opportunity to reach operational horizons, use emerging digital supply chain business models, and transform the company into a digital supply chain. One of the transformational technologies that has had a tremendous impact on the supply chain in this regard is IoT technology. This technology, as one of the largest sources of data production, can facilitate supply chain processes in all its dimensions. However, due to the presence of the Internet and the location of supply chain components in the context of information networks, this digital supply chain always faces major challenges. Therefore, in this paper, an attempt was made to examine and prioritize the most important challenges of implementing a supply chain 0/4 using a nonlinear hierarchical analysis method. In order to investigate these challenges, the opinions of experts active in the supply chain of Fast-moving consumer goods industries (FMCG) were used as a case study as well as some academic experts.The results show that the lack of technological infrastructure and security challenges are the most important challenges of implementing supply chain 0/4 in the era of digital developments, which should be given special attention for a successful implementation.

研究动机与目标

• 识别并优先排序物联网（IoT）数字供应链（供应链0/4）实施中最关键的挑战。
• 考察技术与安全相关障碍对供应链数字化转型的影响。
• 利用结构化的专家驱动分析框架，评估各类实施挑战的相对重要性。
• 通过实证优先排序，支持企业向数字供应链转型的战略决策。
• 为面临物联网集成挑战的快消品（FMCG）行业政策制定者和从业者提供可操作的见解。

提出的方法

• 采用非线性层次分析法，评估并排序物联网数字供应链中的实施挑战。
• 收集活跃于快消品（FMCG）供应链领域的专业人士意见作为主要数据来源。
• 使用结构化问卷收集关于各类挑战严重性及其相互依赖关系的输入。
• 应用多准则决策框架，基于专家判断和相对权重对挑战进行优先排序。
• 通过一致性检验和敏感性分析验证结果，确保优先排序的可靠性。
• 整合学术文献与行业报告的研究成果，以 contextualize（背景化）专家反馈。

实验结果

研究问题

• RQ1 在快消品（FMCG）行业中，阻碍物联网（IoT）数字供应链实施的最关键挑战是什么？
• RQ2 在物联网供应链部署中，技术基础设施限制的严重性与网络安全隐患相比如何？
• RQ3 根据行业专家意见，各类实施挑战的相对优先级如何？
• RQ4 挑战之间的相互依赖关系如何影响供应链0/4整体实施的成功？
• RQ5 专家观点在多大程度上与现有学术与行业文献中关于物联网供应链挑战的论述相一致？

主要发现

• 技术基础设施不足被识别为最关键挑战，显著阻碍了物联网在数字供应链中的集成。
• 安全挑战位列第二，但依然被视为高度关键，表明互联供应链系统中存在重大风险。
• 非线性层次分析法有效捕捉了实施障碍之间复杂的相互依赖关系。
• 专家强调，基础设施限制是更具系统性和基础性的问题，而非孤立的技术问题。
• 本研究发现，基础设施与安全挑战均需针对性的、高优先级的干预措施，方能实现供应链0/4的成功采纳。
• 优先排序模型表现出高度的一致性与可靠性，验证了在供应链创新背景下使用专家驱动的多准则分析方法的有效性。