Dataset for "Implementing Industry 5.0 in advanced manufacturing supply chains: a decision-making framework for supply chain improvement"
Dataset for "Implementing Industry 5.0 in advanced manufacturing supply chains: a decision-making framework for supply chain improvement"
This dataset supports the PhD thesis Implementing Industry 5.0 in Advanced Manufacturing Supply Chains: A Decision-Making Framework for Supply Chain Improvement.
It includes survey data, expert evaluation data, and processed datasets used for quantitative analysis (e.g., PLS-SEM and MCDM methods).
The dataset underpins ongoing and forthcoming research outputs related to supply chain integration and performance.
Industry 5.0, Supply chain management, Supply chain performance, Multi-criteria decision-making
University of Southampton
Yan, Jingyang
a0f1fd4b-d069-47a6-a3e2-466e8514898f
Dacre, Nicholas
90ea8d3e-d0b1-4a5a-bead-f95ab32afbd1
Dong, Hao
73a03c20-d661-446a-b45e-d2cf9e556998
Yan, Jingyang
a0f1fd4b-d069-47a6-a3e2-466e8514898f
Dacre, Nicholas
90ea8d3e-d0b1-4a5a-bead-f95ab32afbd1
Dong, Hao
73a03c20-d661-446a-b45e-d2cf9e556998
Yan, Jingyang
(2026)
Dataset for "Implementing Industry 5.0 in advanced manufacturing supply chains: a decision-making framework for supply chain improvement".
University of Southampton
doi:10.5258/SOTON/D3890
[Dataset]
Abstract
This dataset supports the PhD thesis Implementing Industry 5.0 in Advanced Manufacturing Supply Chains: A Decision-Making Framework for Supply Chain Improvement.
It includes survey data, expert evaluation data, and processed datasets used for quantitative analysis (e.g., PLS-SEM and MCDM methods).
The dataset underpins ongoing and forthcoming research outputs related to supply chain integration and performance.
Spreadsheet
Data_used_for_analysis_in_the_thesis.xlsx
- Collection
Restricted to System admin until 12 May 2027.
Text
thesis_dataset_readme_Jingyang_Yan.txt
- Text
Restricted to System admin until 12 May 2027.
More information
Published date: 2026
Keywords:
Industry 5.0, Supply chain management, Supply chain performance, Multi-criteria decision-making
Identifiers
Local EPrints ID: 511569
URI: http://eprints.soton.ac.uk/id/eprint/511569
PURE UUID: 7cf6c03c-7c38-4e6c-a06c-73d10d9fe8ca
Catalogue record
Date deposited: 20 May 2026 17:02
Last modified: 21 May 2026 02:02
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Contributors
Creator:
Jingyang Yan
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