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Sustainable Manufacturing Supply Chain Performance Enhancement through Technology Utilization and Process Innovation in Industry 4.0: A SEM-PLS Approach

Author

Listed:
  • Karishma M. Qureshi

    (Department of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia 391760, India)

  • Bhavesh G. Mewada

    (Department of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia 391760, India)

  • Sumeet Kaur

    (Area the Quantitative Techniques and Operations Management, FORE School of Management, New Delhi 110016, India)

  • Saleh Yahya Alghamdi

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

  • Naif Almakayeel

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

  • Ali Saeed Almuflih

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

  • Mohamed Rafik Noor Mohamed Qureshi

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

Abstract

The fourth industrial revolution brought a paradigm shift in the present manufacturing system and its supply chain management (SCM). The evolution of Industry 4.0 (I4.0) brought several disruptive technologies like cloud computing (CC), blockchain, the Internet of Things (IoT), cyber-physical systems (CPS), etc. These disruptive technologies have changed the face of the modern manufacturing system and its manufacturing supply chain (SC). Several changes in manufacturing in terms of lead time, cost reduction, agility, flexibility, and response to market sensitivity are seen in almost all types of manufacturing. I4.0’s disruptive technologies influence lean SC, agile SC, leagile SC, and green SC. The current study examines how I4.0 technologies affect society on such supply chains (SCs), which leads to enhanced performance of the manufacturing SC. The effect of process innovation (PI) resulting from I4.0 innovations is also investigated. SEM-PLS-based modeling is constructed based on 195 responses received from manufacturing enterprises implementing various SC practices in managing their manufacturing SCs. The findings demonstrate a favorable correlation between I4.0 technology and the enhancement of various SCs. The result also revealed that there is a positive impact of I4.0 technologies on PI, which leads to manufacturing SC performance improvements.

Suggested Citation

  • Karishma M. Qureshi & Bhavesh G. Mewada & Sumeet Kaur & Saleh Yahya Alghamdi & Naif Almakayeel & Ali Saeed Almuflih & Mohamed Rafik Noor Mohamed Qureshi, 2023. "Sustainable Manufacturing Supply Chain Performance Enhancement through Technology Utilization and Process Innovation in Industry 4.0: A SEM-PLS Approach," Sustainability, MDPI, vol. 15(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15388-:d:1269252
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    References listed on IDEAS

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    1. Agarwal, Ashish & Shankar, Ravi & Tiwari, M.K., 2006. "Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach," European Journal of Operational Research, Elsevier, vol. 173(1), pages 211-225, August.
    2. Ashish Agarwal & Ravi Shankar, 2002. "Analyzing alternatives for improvement in supply chain performance," Work Study, Emerald Group Publishing Limited, vol. 51(1), pages 32-37, February.
    3. Prasanta Kumar Dey & Chrisovalantis Malesios & Debashree De & Soumyadeb Chowdhury & Fouad Ben Abdelaziz, 2019. "Could lean practices and process innovation enhance supply chain sustainability of small and medium‐sized enterprises?," Business Strategy and the Environment, Wiley Blackwell, vol. 28(4), pages 582-598, May.
    4. Rashmi Ranjan Panigrahi & Avinash K. Shrivastava & Karishma M. Qureshi & Bhavesh G. Mewada & Saleh Yahya Alghamdi & Naif Almakayeel & Ali Saeed Almuflih & Mohamed Rafik N. Qureshi, 2023. "AI Chatbot Adoption in SMEs for Sustainable Manufacturing Supply Chain Performance: A Mediational Research in an Emerging Country," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    5. Katiyar, Rajesh & Meena, Purushottam L. & Barua, Mukesh Kumar & Tibrewala, Rajen & Kumar, Gopal, 2018. "Impact of sustainability and manufacturing practices on supply chain performance: Findings from an emerging economy," International Journal of Production Economics, Elsevier, vol. 197(C), pages 303-316.
    6. Patterson, Kirk A. & Grimm, Curtis M. & Corsi, Thomas M., 2003. "Adopting new technologies for supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(2), pages 95-121, March.
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