Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
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: ankurtayal_2K21phddsm12@dtu.ac.in.
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
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl