Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Empowering Sustainable Manufacturing : Unleashing Digital Innovation in Spool Fabrication Industries

M.S., Kiran Sankar ; Gupta, Sumit ; Luthra, Sunil ; Kumar, Anil ; Jagtap, Sandeep LU orcid and Samadhiya, Ashutosh (2024) In Heliyon 10(9).
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Heliyon
volume
10
issue
9
article number
e29994
publisher
Elsevier
external identifiers
  • scopus:85191319986
ISSN
2405-8440
DOI
10.1016/j.heliyon.2024.e29994
language
English
LU publication?
yes
id
14c32470-da69-477b-905f-9990c9ad55b2
date added to LUP
2024-04-25 16:57:08
date last changed
2024-05-07 12:06:43
@article{14c32470-da69-477b-905f-9990c9ad55b2,
  abstract     = {{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.}},
  author       = {{M.S., Kiran Sankar and Gupta, Sumit and Luthra, Sunil and Kumar, Anil and Jagtap, Sandeep and Samadhiya, Ashutosh}},
  issn         = {{2405-8440}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{9}},
  publisher    = {{Elsevier}},
  series       = {{Heliyon}},
  title        = {{Empowering Sustainable Manufacturing : Unleashing Digital Innovation in Spool Fabrication Industries}},
  url          = {{http://dx.doi.org/10.1016/j.heliyon.2024.e29994}},
  doi          = {{10.1016/j.heliyon.2024.e29994}},
  volume       = {{10}},
  year         = {{2024}},
}