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Potential based ranking of sectors identified in ‘Make in India’ initiative using fuzzy AHP: the academicians’ and industry professionals’ perspective

Author

Listed:
  • Milind Jaiwant Sakhardande

    (Goa College of Engineering (Affiliated to Goa University))

  • Rajesh Suresh Prabhu Gaonkar

    (Indian Institute of Technology Goa (IIT Goa))

Abstract

The COVID-19 pandemic is creating economic disruption worldwide affecting the global supply chains. India has to move ahead in these testing times with a focus on improving internal supply chains in particular. Indian service sector has been a major contributor to GDP share. But despite a huge talent pool of educated and skilled workforce, the country lags in manufacturing. The Indian government has its initiative of ‘Make in India’ with objectives of investments leading to job creation and GDP growth in twenty-five manufacturing sectors. The response to this initiative has been slow as the country has to cope up with political, economic, social, technological, legal, and environmental challenges. The pandemic outbreak is proving to be an additional hindrance. The authors feel that the ranking of the twenty-five sectors based on potentials will be an added advantage to the investors. In this paper, the authors have used the technique of the Fuzzy AHP to rank the identified sectors based on the potentials. The results are compared with the superstar sectors proposed by the Government. As seen in the past, most of the research is carried out by academicians, and decision making is based on inputs of academicians and/or industry professionals. The authors have analyzed the perspectives of academicians and industry professionals in this paper to address the gap in decision making.

Suggested Citation

  • Milind Jaiwant Sakhardande & Rajesh Suresh Prabhu Gaonkar, 2021. "Potential based ranking of sectors identified in ‘Make in India’ initiative using fuzzy AHP: the academicians’ and industry professionals’ perspective," 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. 12(2), pages 337-344, April.
  • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:2:d:10.1007_s13198-020-01044-0
    DOI: 10.1007/s13198-020-01044-0
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    References listed on IDEAS

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    1. Pi-Fang Hsu & Bi-Yu Chen, 2007. "Developing and Implementing a Selection Model for Bedding Chain Retail Store Franchisee Using Delphi and Fuzzy AHP," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(2), pages 275-290, April.
    2. Kateryna Wowk & Larry McKinney & Frank Muller-Karger & Russell Moll & Susan Avery & Elva Escobar-Briones & David Yoskowitz & Richard McLaughlin, 2017. "Evolving academic culture to meet societal needs," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 3(1), pages 1-7, December.
    3. Suma Athreye & Sandeep Kapur, 2006. "Industrial concentration in a liberalising economy: A study of Indian manufacturing," Journal of Development Studies, Taylor & Francis Journals, vol. 42(6), pages 981-999.
    4. Yipeng Liu & Jong Min Lee & Celia Lee, 2020. "The challenges and opportunities of a global health crisis: the management and business implications of COVID-19 from an Asian perspective," Asian Business & Management, Palgrave Macmillan, vol. 19(3), pages 277-297, July.
    5. Rajdeep Singha & K Gayithri, 2010. "Government Policy and Performance: A Study of Indian Engineering Industry," Working Papers 253, Institute for Social and Economic Change, Bangalore.
    6. Chih-Hsuan Wang & Hui-Shan Wu, 2016. "A novel framework to evaluate programmable logic controllers: a fuzzy MCDM perspective," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 315-324, April.
    7. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    8. Rajesh Kr. Singh & Angappa Gunasekaran & Pravin Kumar, 2018. "Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach," Annals of Operations Research, Springer, vol. 267(1), pages 531-553, August.
    9. Reza Kiani Mavi, 2014. "Indicators of Entrepreneurial University: Fuzzy AHP and Fuzzy TOPSIS Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(2), pages 370-387, June.
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