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

Aadarsh Poduval (), Maruti Sriram Ayyagari (), Mohit Malinda (), Vimal K.E.k (), Anil Kumar () and Jayakrishna Kandasamy ()
Additional contact information
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

Operations Management Research, 2022, vol. 15, issue 3, No 43, 1315-1340

Abstract: 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.

Keywords: Repurposing Manufacturing; Barriers; Total Interpretive Structural Modelling; MICMAC (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s12063-021-00209-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-021-00209-9

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12063

DOI: 10.1007/s12063-021-00209-9

Access Statistics for this article

Operations Management Research is currently edited by Jan Olhager and Scott Shafer

More articles in Operations Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().