Improving the performance of manufacturing supply chains in Industry 5.0: an analysis using fuzzy-TOPSIS approach
Improving the performance of manufacturing supply chains in Industry 5.0: an analysis using fuzzy-TOPSIS approach
The study identified a total of 28 indicators and four potential alternatives for improving manufacturing supply chain performance in Industry 5.0. The findings reveal that the implementation of a real-time operational framework, the promotion of transparency and information sharing among supply chain partners, and the leveraging of advanced technologies are the most significant alternatives in this regard. This paper contributes to the existing body of knowledge by providing a foundational foothold for researchers and industry practitioners to make informed strategic decisions pertaining evaluation of and improvement in supply chain performance, further enhancing companies’ competitiveness, profitability, and sustainability in the era of Industry 5.0.
Yan, Jingyang
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Dacre, Nicholas
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Al-Mhdawi, M.K.S.
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Dong, Hao
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Frei, Regina
fa00170f-356a-4a0d-8030-d137fd855880
18 September 2023
Yan, Jingyang
a0f1fd4b-d069-47a6-a3e2-466e8514898f
Dacre, Nicholas
90ea8d3e-d0b1-4a5a-bead-f95ab32afbd1
Al-Mhdawi, M.K.S.
e23cdd27-fe4c-4aec-81b3-be2b2616bf6c
Dong, Hao
73a03c20-d661-446a-b45e-d2cf9e556998
Frei, Regina
fa00170f-356a-4a0d-8030-d137fd855880
Yan, Jingyang, Dacre, Nicholas, Al-Mhdawi, M.K.S., Dong, Hao and Frei, Regina
(2023)
Improving the performance of manufacturing supply chains in Industry 5.0: an analysis using fuzzy-TOPSIS approach.
Operational Research Society Annual Conference 2023, University of Bath - School of Management, Bath, United Kingdom.
12 - 14 Sep 2023.
2 pp
.
Record type:
Conference or Workshop Item
(Other)
Abstract
The study identified a total of 28 indicators and four potential alternatives for improving manufacturing supply chain performance in Industry 5.0. The findings reveal that the implementation of a real-time operational framework, the promotion of transparency and information sharing among supply chain partners, and the leveraging of advanced technologies are the most significant alternatives in this regard. This paper contributes to the existing body of knowledge by providing a foundational foothold for researchers and industry practitioners to make informed strategic decisions pertaining evaluation of and improvement in supply chain performance, further enhancing companies’ competitiveness, profitability, and sustainability in the era of Industry 5.0.
Text
Improving the performance of manufacturing supply chains in Industry 5
- Version of Record
More information
Accepted/In Press date: 15 June 2023
Published date: 18 September 2023
Additional Information:
This research is critically important for both practitioners and academic researchers as it advances understanding of manufacturing supply chain performance in the emerging context of Industry 5.0. Employing a fuzzy-TOPSIS analytical approach, the study identifies key factors and strategies that significantly enhance operational efficiency and effectiveness. Specifically, it underscores the strategic adoption of real-time operational frameworks, the enhancement of transparency, and the strategic use of advanced technologies.
Venue - Dates:
Operational Research Society Annual Conference 2023, University of Bath - School of Management, Bath, United Kingdom, 2023-09-12 - 2023-09-14
Identifiers
Local EPrints ID: 478788
URI: http://eprints.soton.ac.uk/id/eprint/478788
PURE UUID: a3ebec7e-4387-4fe0-a089-fc94148a9918
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Date deposited: 10 Jul 2023 16:45
Last modified: 08 Nov 2024 02:56
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Contributors
Author:
Jingyang Yan
Author:
M.K.S. Al-Mhdawi
Author:
Regina Frei
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