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Repurposing production operations during COVID-19 pandemic by integrating Industry 4.0 and reconfigurable manufacturing practices: an emerging economy perspective

Author

Listed:
  • Rajesh Pansare

    (K.J. Somaiya College of Engineering)

  • Gunjan Yadav

    (Swarrnim Startup & Innovation University)

Abstract

The Covid-19 pandemic has had a significant impact on manufacturing industries and supply chains. Manufacturing industries are struggling to repurpose their production activities and ramp up the supply chain to bridge the demand–supply gap. A framework that can cover Industry 4.0 technologies and reconfigurable manufacturing system (RMS) practices is desperately needed. The current study focuses primarily on the framework that could assist managers in decision-making and the stepwise adoption of RMS during repurposing. The extensive literature review was conducted to identify the prominent Industry 4.0 technologies and RMS practices. To compute the weights of selected practices, the novel Pythagorean fuzzy analytical hierarchy process (AHP) was used; while the Pythagorean fuzzy combined compromise solution (CoCoSo) method was used to prioritize the selected performance metrics. To test the robustness of the developed framework, a sensitivity analysis was carried out. According to the findings, smart factory adoption (SFA) practices were the most significant among the major criteria, followed by reconfiguration practices (RCP), soft computing practices (SCP), sustainable & circular economy practices (SCE), and quality practices (QPS). SFA's advanced technologies and SCP's computer algorithms certainly assist in the repurposing of production activities (RPO). The results of the sensitivity analysis demonstrated the robustness of the developed framework. The developed framework will be useful during RPO, and the identified practices can make a significant contribution. Advanced technologies and sustainable practices can help to improve the organization's work culture. Managers will be able to evaluate the organization's performance with the help of identified performance metrics. The work presented here may be the first attempt to develop a framework for RPO in a pandemic situation.

Suggested Citation

  • Rajesh Pansare & Gunjan Yadav, 2022. "Repurposing production operations during COVID-19 pandemic by integrating Industry 4.0 and reconfigurable manufacturing practices: an emerging economy perspective," Operations Management Research, Springer, vol. 15(3), pages 1270-1289, December.
    • Handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00310-7
    DOI: 10.1007/s12063-022-00310-7
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    References listed on IDEAS

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    1. Xia, Tangbin & Xi, Lifeng & Pan, Ershun & Ni, Jun, 2017. "Reconfiguration-oriented opportunistic maintenance policy for reconfigurable manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 166(C), pages 87-98.
    2. Dube, Kaitano & Nhamo, Godwell & Chikodzi, David, 2021. "COVID-19 pandemic and prospects for recovery of the global aviation industry," Journal of Air Transport Management, Elsevier, vol. 92(C).
    3. Xin Gu & Shan Ying & Weiqiang Zhang & Yewei Tao, 2020. "How Do Firms Respond to COVID-19? First Evidence from Suzhou, China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2181-2197, August.
    4. Morteza Yazdani & Pascale Zaraté & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2019. "A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems," Post-Print hal-02879091, HAL.
    5. Durga Prasad & S. C. Jayswal, 2018. "Reconfigurability consideration and scheduling of products in a manufacturing industry," International Journal of Production Research, Taylor & Francis Journals, vol. 56(19), pages 6430-6449, October.
    6. Pinglin He & Hanlu Niu & Zhe Sun & Tao Li, 2020. "Accounting Index of COVID-19 Impact on Chinese Industries: A Case Study Using Big Data Portrait Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2332-2349, August.
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    Cited by:

    1. Federica Costa & Matthias Thürer & Alberto Portioli-Staudacher, 2023. "Heterogeneous worker multi-functionality and efficiency in dual resource constrained manufacturing lines: an assessment by simulation," Operations Management Research, Springer, vol. 16(3), pages 1476-1489, September.
    2. Kovacs, Oliver, 2024. "Exaptationary Industry 4.0: Graphene as pathfinder?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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