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An integrated DEMATEL-MMDE-ISM based approach for analysing the barriers of IoT implementation in the manufacturing industry

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  • Rajdeep Singh
  • Neeraj Bhanot

Abstract

Incorporation of smart devices within the older framework has brought along significant challenges. This paper presents a detailed analysis of the barriers faced during the implementation of Internet of Things (IoT) within the manufacturing sector. In addition, the authors aim to obtain a hierarchical structure, which will help the policymakers to identify the most crucial barriers enabling them to make an informed decision. With the help of databases like Scopus, Web of Science, etc. a comprehensive list of 22 barriers was initially obtained. This list was further narrowed down to 10 critical barriers. The first step of the analysis involved the application of Decision Making Trial and Evaluation Laboratory (DEMATEL) technique, which quantifies the influence of the barriers amongst one another. Maximum Mean De-Entropy (MMDE) technique is then used to obtain a scientific threshold value, which is later used in the Interpretive Structural Modelling (ISM) technique from which a hierarchical structure of the barriers is obtained. The results of this study are expected to highlight the most crucial barriers wherein the researchers and practitioners can focus their strategic efforts. This will facilitate the addressal of implicit issues while implementing IoT Techniques in the manufacturing industry.

Suggested Citation

  • Rajdeep Singh & Neeraj Bhanot, 2020. "An integrated DEMATEL-MMDE-ISM based approach for analysing the barriers of IoT implementation in the manufacturing industry," International Journal of Production Research, Taylor & Francis Journals, vol. 58(8), pages 2454-2476, April.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:8:p:2454-2476
    DOI: 10.1080/00207543.2019.1675915
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    Cited by:

    1. Xuan Su & Wenquan Dong & Jingyu Lu & Chen Chen & Weixi Ji, 2022. "Dynamic Allocation of Manufacturing Resources in IoT Job Shop Considering Machine State Transfer and Carbon Emission," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
    2. Monica Shukla & Ravi Shankar, 2022. "Modeling of critical success factors for adoption of smart manufacturing system in Indian SMEs: an integrated approach," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1271-1303, December.
    3. Kumar, Anil & Agrawal, Rohit & Wankhede, Vishal A & Sharma, Manu & Mulat-weldemeskel, Eyob, 2022. "A framework for assessing social acceptability of industry 4.0 technologies for the development of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    4. Asadi, Shahla & Nilashi, Mehrbakhsh & Iranmanesh, Mohammad & Hyun, Sunghyup Sean & Rezvani, Azadeh, 2022. "Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach," Technovation, Elsevier, vol. 118(C).
    5. Amjad Hussain & Muhammad Umar Farooq & Muhammad Salman Habib & Tariq Masood & Catalin I. Pruncu, 2021. "COVID-19 Challenges: Can Industry 4.0 Technologies Help with Business Continuity?," Sustainability, MDPI, vol. 13(21), pages 1-25, October.
    6. Jayakrishna Kandasamy & Yatin P. Kinare & Miheer T. Pawar & Abhijit Majumdar & Vimal K.E.K. & Rohit Agrawal, 2022. "Circular economy adoption challenges in medical waste management for sustainable development: An empirical study," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 958-975, October.
    7. Fuli Zhou & Yandong He & Felix T. S. Chan & Panpan Ma & Francesco Schiavone, 2022. "Joint Distribution Promotion by Interactive Factor Analysis using an Interpretive Structural Modeling Approach," SAGE Open, , vol. 12(1), pages 21582440221, February.
    8. Ashish Dwivedi & Dindayal Agrawal & Sanjoy Kumar Paul & Saurabh Pratap, 2023. "Modeling the blockchain readiness challenges for product recovery system," Annals of Operations Research, Springer, vol. 327(1), pages 493-537, August.
    9. Rimalini Gadekar & Bijan Sarkar & Ashish Gadekar, 2022. "Key performance indicator based dynamic decision-making framework for sustainable Industry 4.0 implementation risks evaluation: reference to the Indian manufacturing industries," Annals of Operations Research, Springer, vol. 318(1), pages 189-249, November.
    10. Ebadi Torkayesh, Ali & Hendiani, Sepehr & Walther, Grit & Venghaus, Sandra, 2024. "Fueling the future: Overcoming the barriers to market development of renewable fuels in Germany using a novel analytical approach," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1012-1033.
    11. Snigdha Malhotra & Vernika Agarwal & P. K. Kapur, 2022. "Hierarchical framework for analysing the challenges of implementing industrial Internet of Things in manufacturing industries using ISM approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2356-2370, October.
    12. Hamzeh Soltanali & Mehdi Khojastehpour & Siamak Kheybari, 2023. "Evaluating the critical success factors for maintenance management in agro-industries using multi-criteria decision-making techniques," Operations Management Research, Springer, vol. 16(2), pages 949-968, June.
    13. Krishna Kumar Dadsena & Pushpesh Pant & Sanjoy Kumar Paul & Saurabh Pratap, 2024. "Overcoming strategies for supply chain digitization barriers: Implications for sustainable development goals," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 3887-3910, July.
    14. Ahmad Morshedi & Navid Nezafati & Sajjad Shokouhyar, 2024. "Motivational Factors Affecting Knowledge Sharing in Steel Industry Supply Chain: A Mixed Qualitative-Quantitative Method Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6273-6311, June.
    15. Sarthak Sahu & Saket Shanker & Aditya Kamat & Akhilesh Barve, 2023. "India’s public transportation system: the repercussions of COVID-19," Public Transport, Springer, vol. 15(2), pages 435-478, June.
    16. Dieste, Marcos & Sauer, Philipp C. & Orzes, Guido, 2022. "Organizational tensions in industry 4.0 implementation: A paradox theory approach," International Journal of Production Economics, Elsevier, vol. 251(C).
    17. Rui Zhang & Changxu Ji & Wenhuan Zhao & Ziyang Chen, 2024. "Analysis of the Factors Influencing the Knowledge Transfer to Villagers Working in Rural Tourism: a Multiple-Case Study in China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3551-3599, March.
    18. Wen-Chin Chen & An-Xuan Ngo & Hui-Pin Chang, 2024. "Enhancing Decision-Making Processes in the Complex Landscape of the Taiwanese Electronics Manufacturing Industry through a Fuzzy MCDM Approach," Mathematics, MDPI, vol. 12(13), pages 1-29, July.
    19. Heidary Dahooie, Jalil & Mohammadian, Ayoub & Qorbani, Ali Reza & Daim, Tugrul, 2023. "A portfolio selection of internet of things (IoTs) applications for the sustainable urban transportation: A novel hybrid multi criteria decision making approach," Technology in Society, Elsevier, vol. 75(C).
    20. Tie-zhi Li & Pan Du & Xin-ping Wang & Chang Su, 2024. "Rural energy transition in the context of rural revitalization and carbon neutrality: improved multi-criteria-based decision-making," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(5), pages 1-24, June.
    21. Nitin S. Solke & Pritesh Shah & Ravi Sekhar & T. P. Singh, 2022. "Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 89-112, March.

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