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Barriers in repurposing an existing manufacturing plant: a total interpretive structural modeling (TISM) approach

Author

Listed:
  • Aadarsh Poduval

    (Vellore Institute of Technology)

  • Maruti Sriram Ayyagari

    (Vellore Institute of Technology)

  • Mohit Malinda

    (Vellore Institute of Technology)

  • Vimal K.E.K

    (National Institute of Technology, NIT-Patna)

  • Anil Kumar

    (London Metropolitan University)

  • Jayakrishna Kandasamy

    (Vellore Institute of Technology)

Abstract

Repurposing of an existing manufacturing plant is an emerging field due to the increase in emergencies of the covid-19 pandemic with the need of rapid responses which has a wide range of potential applications in sustainment of the manufacturing plant in these unfavourable times and helping of the economy. It makes the manufacturing plant adaptable to changes, makes it productive by manufacturing products that are currently in demand, prevents the dissolution of the plant and thus harvests the maximum potential of the manufacturing plant in the need of an emergency. However, not many industries and plants are suited to make the appropriate changes and lack knowledge on how to proceed to do so. The paper identifies the barriers that are faced in the transition for repurposing a general manufacturing plant to a more suited plant for current emergencies that need rapid response. These barriers hinder the repurposing of the manufacturing plant and impact the business decisions to establish a manufacturing plant suited for emergency situations. Surveys and information from various experts in this field are used to identify these barriers and document their interdependencies and influence on one another. The data is graphed and analysed utilizing TISM (Total Interpretive Structural Modelling) and MICMAC (Cross-Impact Matrix Multiplication Applied to Classification) methodology to further examine by classifying and ranking the relationships. Analysing the relationships between barriers leads to effective decisions towards the successful adoption of repurposing of manufacturing plant. A contextual relationship based structural table called interpretive table and structural model is made to pinpoint influential barriers. Thus, the research explains and explores significant barriers to the adoption of repurposing in manufacturing plant and not only provides a strong methodological and contextual contribution with the help of TISM and MICMAC but also gives research a sense of links of the barriers across various levels. On a practical level, the study is immensely useful to help manufacturing plants overcome repercussions due to disruptions by modifying existing practice and business model to a new model which synchronizes with the new normal to increase the efficiency and survivability of the plant. The result of the research points out that strategical, cultural, technological, and innovation barriers are the most influential barrier in repurposing of manufacturing plant.

Suggested Citation

  • Aadarsh Poduval & Maruti Sriram Ayyagari & Mohit Malinda & Vimal K.E.K & Anil Kumar & Jayakrishna Kandasamy, 2022. "Barriers in repurposing an existing manufacturing plant: a total interpretive structural modeling (TISM) approach," Operations Management Research, Springer, vol. 15(3), pages 1315-1340, December.
    • Handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-021-00209-9
    DOI: 10.1007/s12063-021-00209-9
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    References listed on IDEAS

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    1. Jill E. Hobbs, 2020. "Food supply chains during the COVID‐19 pandemic," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(2), pages 171-176, June.
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    4. Deepak Mathivathanan & K. Mathiyazhagan & Nripendra P. Rana & Sangeeta Khorana & Yogesh K. Dwivedi, 2021. "Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3338-3359, June.
    5. Paolo Barbieri & Albachiara Boffelli & Stefano Elia & Luciano Fratocchi & Matteo Kalchschmidt & Danny Samson, 2020. "What can we learn about reshoring after Covid-19?," Operations Management Research, Springer, vol. 13(3), pages 131-136, December.
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    Cited by:

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    2. Mkedder, Nadjim & Das, Manish, 2024. "Metaverse integration challenges: An in-depth ISM and MICMAC analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).

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