IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v15y2022i3d10.1007_s12063-022-00310-7.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-022-00310-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12063-022-00310-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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).
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kovacs, Oliver, 2024. "Exaptationary Industry 4.0: Graphene as pathfinder?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Narayan, Seema & Narayan, Paresh Kumar & Tobing, Lutzardo, 2021. "Has tourism influenced Indonesia’s current account?," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 225-237.
    2. Narayan, Paresh Kumar & Devpura, Neluka & Wang, Hua, 2020. "Japanese currency and stock market—What happened during the COVID-19 pandemic?," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 191-198.
    3. Huang, Zhi-xiong & Yang, Xiandong, 2021. "Carbon emissions and firm innovation," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 503-513.
    4. Padhan, Rakesh & Prabheesh, K.P., 2021. "The economics of COVID-19 pandemic: A survey," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 220-237.
    5. Naidu, Dharmendra & Ranjeeni, Kumari, 2021. "Effect of coronavirus fear on the performance of Australian stock returns: Evidence from an event study," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    6. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Liu, Guangqiang, 2021. "COVID-19 lockdowns, stimulus packages, travel bans, and stock returns," Finance Research Letters, Elsevier, vol. 38(C).
    7. Sui, Bo & Chang, Chun-Ping & Jang, Chyi-Lu & Gong, Qiang, 2021. "Analyzing causality between epidemics and oil prices: Role of the stock market," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 148-158.
    8. Bing, Tao & Ma, Hongkun, 2021. "COVID-19 pandemic effect on trading and returns: Evidence from the Chinese stock market," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 384-396.
    9. LI, Yang & Luo, Jingqiu & Jiang, Yongmu, 2021. "Policy uncertainty spillovers and financial risk contagion in the Asia-Pacific network," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    10. Song, Pengcheng & Ma, Xinxin & Zhang, Xuan & Zhao, Qin, 2021. "The influence of the SARS pandemic on asset prices," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    11. Guo, Jing & Tang, Qi & Jin, Guangzhu, 2021. "Labor protection and the efficiency of human capital investment," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 195-207.
    12. Chen, Yin-E & Li, Chunyan & Chang, Chun-Ping & Zheng, Mingbo, 2021. "Identifying the influence of natural disasters on technological innovation," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 22-36.
    13. Dongyang Zhang & Cao Wang & Yu Dong, 2023. "How Does Firm ESG Performance Impact Financial Constraints? An Experimental Exploration of the COVID-19 Pandemic," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(1), pages 219-239, February.
    14. Yu, Zhen & Xiao, Yao & Li, Jinpo, 2021. "How does geopolitical uncertainty affect Chinese overseas investment in the energy sector? Evidence from the South China Sea Dispute," Energy Economics, Elsevier, vol. 100(C).
    15. Iyke, Bernard Njindan & Tran, Vuong Thao & Narayan, Paresh Kumar, 2021. "Can energy security predict energy stock returns?," Energy Economics, Elsevier, vol. 94(C).
    16. Lianggui Liao & Chan Wang & Hong-Xing Wen & Pu-Yan Nie & Ying Huang, 2023. "The Impact and Mechanism of the COVID-19 Pandemic on Corporate Financing: Evidence from Listed Companies in China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    17. Tolcha, Tassew Dufera, 2023. "The state of Africa's air transport market amid COVID-19, and forecasts for recovery," Journal of Air Transport Management, Elsevier, vol. 108(C).
    18. Garaus, Marion & Hudáková, Melánia, 2022. "The impact of the COVID-19 pandemic on tourists’ air travel intentions: The role of perceived health risk and trust in the airline," Journal of Air Transport Management, Elsevier, vol. 103(C).
    19. Chandra, Aitichya & Verma, Ashish & Sooraj, K.P. & Padhi, Radhakant, 2023. "Modelling and assessment of the arrival and departure process at the terminal area: A case study of Chennai international airport," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    20. Su, Dan & Zhang, Lijun & Peng, Hua & Saeidi, Parvaneh & Tirkolaee, Erfan Babaee, 2023. "Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00310-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.