Hierarchical framework for analysing the challenges of implementing industrial Internet of Things in manufacturing industries using ISM approach

被引:0
作者
Snigdha Malhotra
Vernika Agarwal
P. K. Kapur
机构
[1] Amity University,Amity International Business School
[2] Amity University,Amity Center for Inter
来源
International Journal of System Assurance Engineering and Management | 2022年 / 13卷
关键词
IIoT; Challenges; Manufacturing industry; Interpretive structural modelling;
D O I
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中图分类号
学科分类号
摘要
The integration of smart devices in the manufacturing section has brought along disruptions in the production processes. The existing literature in the field of IIoT and Industry 4.0 have focused much on the technical aspects of the network design and development, however, there is a substantial gap in examining the challenges of implementation of IIoT techniques, especially in context to India. This paper presents an exhaustive analysis and categorization of the challenges faced by the manufacturing sector in the implementation of the Industrial Internet of Things (IIoT). Challenges were categorized into technical and organizational challenges with the help of experts. The paper aims to attain a hierarchical structure, which will further be helpful to policymakers to identify the most critical challenge allowing them to make a well-versed decision. The results of this study are expected to highlight the key challenge wherein the industry and researchers can focus their strategic efforts. This will facilitate the address of implicit issues while implementing IIoT Techniques in the manufacturing industry.
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页码:2356 / 2370
页数:14
相关论文
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  • [1] Ali SM(2018)Barriers to reverse logistics in the computer supply chain using an interpretive structural model Glob J Flex Syst Manag 19 53-68
  • [2] Arafin A(2020)The role of data management in the Industrial Internet of Things Concurr Comput: Pract Exp 33 e6031-331
  • [3] Moktadir M(2016)How the industrial internet of things changes business models in different manufacturing industries Int J Innov Manag 20 1640015-44
  • [4] Rahman T(2017)Interpretive structure modelling: a comprehensive literature review on applications Int J Six Sigma Compet Adv 10 258-136
  • [5] Zahan N(2014)How virtualization, decentralization and network building change the manufacturing landscape: an industry 4.0 perspective Int J Inform Commun Eng 8 37-160
  • [6] AlSuwaidan L(2017)Modelling upper echelons' behavioural drivers of Green IT/IS adoption using an integrated interpretive structural modellingeanalytic network process approach Telematics Inf 34 583e603-565
  • [7] Arnold C(2021)Efficient and flexible management for industrial Internet of Things: a federated learning approach Comput Netw 192 108122-2591
  • [8] Kiel D(2021)Business model innovation through the application of the Internet-of-Things: a comparative analysis J Bus Res 126 126-139
  • [9] Voigt KI(2020)Industrial internet of things: Recent advances, enabling technologies and open challenges Comput Electr Eng 81 106522-54
  • [10] Attri R(2019)An industrial IoT in engineering and manufacturing industries–benefits and challenges Int J Mech Prod Eng Res Dev (IJMPERD) 9 151-192