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Internet of things challenges of sustainable supply chain management in the manufacturing sector using an integrated q-Rung Orthopair Fuzzy-CRITIC-VIKOR method
Journal of Enterprise Information Management ( IF 5.661 ) Pub Date : 2021-10-07 , DOI: 10.1108/jeim-06-2021-0261
Kaijun Yang 1 , Tingting Duan 1 , Jiaojiao Feng 2 , Arunodaya Raj Mishra 3
Affiliation  

Purpose

The “Internet of Things (IoT)” is a platform for involving smart devices via the Internet at a worldwide scale. It supports the “supply chain (SC)” and “information and communication technology (ICT)” infrastructure to be well integrated into an organization and externally with customers and suppliers. The “sustainable supply chain (SSC)” is currently unavoidable if a company seeks to satisfy the aggressive change in its customers' requirements. Numerous studies have confirmed that manufacturing firms have to accelerate the shift of their focus toward sustainability and the implementation of novel technologies, such as IoT, to accomplish their organizational goals most effectively. Although the literature consists of many theoretical approaches to IoT and numerous studies that have extremely concentrated upon the IoT technology and its potential applications, it lacks research with a focus on the challenges that arise when applying IoT to the “sustainable supply chain management (SSCM)”.

Design/methodology/approach

The present study proposes an integrated framework using the “Criteria Importance Through Intercriteria Correlation (CRITIC)” and “VlseKriterijumska optimizcija I kaompromisno resenje in Serbian (VIKOR)” models and employs to evaluate the IoT challenges to implement the SSCM. For estimating the criteria weights, the CRITIC tool is utilized. The organization's prioritization is obtained by the VIKOR procedure, which delivers simple mathematical procedures with precise and consistent outcomes.

Findings

To exhibit the practicality of the introduced model, a case study is taken to evaluate the IoT challenges to implement the SSCM within the “q-Rung Orthopair Fuzzy Sets (q-ROFSs)” environment. Moreover, the authors exhibit a sensitivity investigation over given parameter values, examining the stability of developed approach. Finally, the authors draw attention to a comparison between developed q-ROF-CRITIC-VIKOR decision-making approach with an existing q-ROF-TOPSIS method to show its superiority and potency.

Originality/value

The outcome of the study lies in observing the top benefits of individual businesses, and their entire SSCs can be found by implementing IoT. This paper investigates the most important challenges that individual firms and entire SSCs might while applying IoT. It provides a deep insight regarding the effects of IoT upon SSCM and the issues every firm need to contemplate when it is to apply IoT solutions.



中文翻译:

使用集成 q-Rung Orthopair Fuzzy-CRITIC-VIKOR 方法对制造业可持续供应链管理的物联网挑战

目的

“物联网(IoT)”是通过互联网在全球范围内让智能设备参与的平台。它支持“供应链 (SC)”和“信息和通信技术 (ICT)”基础设施很好地集成到组织中,并在外部与客户和供应商集成。如果公司寻求满足其客户需求的急剧变化,“可持续供应链 (SSC)”目前是不可避免的。大量研究证实,制造企业必须加快将重点转向可持续发展和物联网等新技术的实施,以最有效地实现其组织目标。

设计/方法/方法

本研究提出了一个综合框架,使用“通过标准间相关性 (CRITIC) 的标准重要性”和“塞尔维亚语中的 VlseKriterijumska optimizcija I kaompromisno resenje (VIKOR)”模型,并用于评估实施 SSCM 的物联网挑战。为了估计标准权重,使用了 CRITIC 工具。组织的优先级是通过 VIKOR 程序获得的,该程序提供了简单的数学程序,具有精确和一致的结果。

发现

为了展示所介绍模型的实用性,我们通过案例研究来评估在“q-Rung Orthopair Fuzzy Sets (q-ROFSs)”环境中实施 SSCM 所面临的物联网挑战。此外,作者对给定的参数值进行了敏感性调查,检查了开发方法的稳定性。最后,作者提请注意将开发的 q-ROF-CRITIC-VIKOR 决策方法与现有的 q-ROF-TOPSIS 方法进行比较,以显示其优越性和效力。

原创性/价值

该研究的结果在于观察单个企业的最大利益,并且可以通过实施物联网找到它们的整个 SSC。本文调查了个别公司和整个 SSC 在应用物联网时可能面临的最重要挑战。它提供了关于物联网对 SSCM 的影响以及每个公司在应用物联网解决方案时需要考虑的问题的深刻见解。

更新日期:2021-10-07
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