The study provides a comprehensive analysis of digital sustainable manufacturing enablers in the spool fabrication industry and offers guidelines for the transformation of conventional systems into digitalized SM practices.
Authors
Kiran Sankar M.S, Department of Mechanical Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201313, India.
Sumit Gupta, Department of Mechanical Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201313, India.
Sunil Luthra, ATAL Cell, All India Council of Technical Education (AICTE), New Delhi, 110070, India.
Anil Kumar, Guildhall School of Business and Law, London Metropolitan University, London, UK; Department of Management Studies, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India.
Sandeep Jagtap, Sustainable Manufacturing Systems Centre, School of Aerospace, Transport & Manufacturing, Cranfield University, Cranfield, MK43 0AL, UK; Division of Engineering Logistics, Department of Mechanical Engineering Sciences, Faculty of Engineering, Ole Römers Väg 1, M-Building, Lund University, Lund, 22363, Sweden.
Summary
In industrial landscapes, spool fabrication industries play a crucial role in the successful completion of numerous industrial projects by providing prefabricated modules. However, the implementation of digitalized sustainable practices in spool fabrication industries is progressing slowly and is still in its embryonic stage due to several challenges.
To implement digitalized sustainable manufacturing (SM), digital technologies such as Internet of Things, Cloud computing, Big data analytics, Cyber-physical systems, Augmented reality, Virtual reality, and Machine learning are required in the context of sustainability.
The scope of the present study entails prioritization of the enablers that promote the implementation of digitalized sustainable practices in spool fabrication industries using the Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF-SWARA) method integrated with Triangular Fuzzy Bonferroni Mean (TFBM).
The enablers are identified through a systematic literature review and are validated by a team of seven experts through a questionnaire survey. Then the finally identified enablers are analyzed by the IMF-SWARA and TFBM integrated approach. The results indicate that the most significant enablers are management support, leadership, governmental policies and regulations to implement digitalized SM.
The study provides a comprehensive analysis of digital SM enablers in the spool fabrication industry and offers guidelines for the transformation of conventional systems into digitalized SM practices.
Published in: Heliyon
To read the full article, please click here.
