ARank-FSC: Assessment and ranking of Industry 4.0 enablers using fuzzy SWARA and fuzzy COPRAS in Indian construction

Article type: Research Article

Authors: Tayal, Ankur^* | Agrawal, Saurabh | Yadav, Rajan

Affiliations: Delhi School of Management, Delhi Technological University (DTU), New Delhi, India

Correspondence: [*] Corresponding author: Ankur Tayal, Delhi School of Management, Delhi Technological University (DTU), New Delhi-110042, India. E-mail: [email protected].

Abstract: Adoption of “Industry 4.0” technologies in construction is rising in recent years due to intervention of government and non government bodies for combating environmental challenges. In order to understand various enablers that influence “adoption of Industry 4.0” – technologies, this study is conducted for assessing degree of enablers in Indian construction. A hybrid MCDM approach using – Fuzzy SWARA and Fuzzy COPRAS named as ARank-FSC is proposed. Fuzzy “SWARA” aids in obtaining relative weights of enablers while COPRAS helps in ranking and selecting most efficient amongst them. The proposed approach is applied on a case organization engaged in construction. Results indicate that profitability acts as top ranked enabler that would significantly affect “Industry 4.0” acceptance in Indian construction. Stakeholders coordination, Governmental regulations, strategic planning, building information modeling and risk taking behavior are also critical enablers that significantly affect acceptance of “Industry 4.0” technologies in construction industry of developing countries like India. The present study aims to analyze-the-rank of enablers-in “adoption-of-Industry-4.0”. The proposed approach is put through a sensitivity analysis to determine its robustness. This research’s conclusions and ramifications-will-be-useful-to-practitioners-and-researchers-in-understanding degree of enablers for implementation-of-Industry 4.0-in-construction-industries of developing countries like India.

Keywords: Multi criteria decision making, SWARA, COPRAS, “Industry 4.0”, construction

DOI: 10.3233/IDT-240459

Journal: Intelligent Decision Technologies, vol. 18, no. 2, pp. 663-683, 2024