Evaluating risk of IoT adoption in the food supply chain using an integrated interval-valued spherical fuzzy generalised TODIM method

IF 9.8 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
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Abstract

The existing literature has shown that the Internet of Things (IoT) has proven to be beneficial for managing operations in the food supply chain. However, the potential failures resulting from these new technologies have not been thoroughly examined. Therefore, the aim of this study is to create a new framework for analyzing the risks associated with implementing IoT in the food supply chain. To achieve this, we introduce an extended failure mode and effect analysis framework using an integrated generalised Toma de Decisão Iterativa Multicritério (TODIM) method within the interval-valued spherical fuzzy setting. Initially, we developed a risk structure consisting of four dimensions and sixteen sub-factors to facilitate the implementation of IoT technology in the food supply chain. We then introduced an interval-valued spherical fuzzy-weighted Bonferroni mean operator to gather expert opinions and create a group risk matrix considering the interaction between the input risk data. Subsequently, we proposed a newly developed interval-valued spherical fuzzy TODIM method based on the Logarithmic percentage change-driven objective weighting (LOPCOW) method to evaluate and rank the risks associated with IoT application in the food supply chain. This method can capture the bounded rational decision behavior of experts and the uncertain preference of risk parameters. Based on the identified risk factors, we implemented a proposed risk analysis framework in line with the preferences of the experts. The results indicate that "human resource risk" and "uncertainty in technology adoption" are the most and least significant risks, respectively. We also conducted sensitivity and comparison studies to test the reliability and rationality of the proposed framework. The main findings can assist policymakers and managers in mitigating and minimizing the risks connected with IoT applications in the food supply chain. Additionally, these outcomes can aid stakeholders in making well-informed decisions about resource allocation for risk management.

使用综合区间值球形模糊广义 TODIM 方法评估食品供应链采用物联网的风险
现有文献表明,物联网(IoT)已被证明有利于食品供应链的运营管理。然而,这些新技术可能导致的失败还没有得到彻底研究。因此,本研究旨在创建一个新框架,用于分析在食品供应链中实施物联网的相关风险。为此,我们引入了一个扩展的故障模式和影响分析框架,该框架在区间值球形模糊设置中使用了综合广义的Toma de Decisão Iterativa Multicritério(TODIM)方法。最初,我们开发了一个由四个维度和十六个子因素组成的风险结构,以促进物联网技术在食品供应链中的实施。然后,我们引入了一个区间值球形模糊加权邦费罗尼均值算子,以收集专家意见,并创建一个考虑到输入风险数据之间相互作用的群体风险矩阵。随后,我们提出了一种新开发的基于对数百分比变化驱动目标加权(LOPCOW)方法的区间值球形模糊 TODIM 方法,用于评估与食品供应链中物联网应用相关的风险并对其进行排序。该方法可以捕捉专家的有界理性决策行为和风险参数的不确定性偏好。根据所识别的风险因素,我们按照专家的偏好实施了一个拟议的风险分析框架。结果表明,"人力资源风险 "和 "技术采用的不确定性 "分别是最大和最小的风险。我们还进行了敏感性和比较研究,以检验建议框架的可靠性和合理性。主要研究结果有助于政策制定者和管理者降低和减少食品供应链中物联网应用的相关风险。此外,这些成果还能帮助利益相关者就风险管理的资源分配做出明智决策。
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来源期刊
International Journal of Production Economics
International Journal of Production Economics 管理科学-工程:工业
CiteScore
21.40
自引率
7.50%
发文量
266
审稿时长
52 days
期刊介绍: The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.
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