The University of Southampton
University of Southampton Institutional Repository

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"
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]

Record type: 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.
Available under License Creative Commons Attribution.
Text
thesis_dataset_readme_Jingyang_Yan.txt - Text
Restricted to System admin until 12 May 2027.
Available under License Creative Commons Attribution.

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
ORCID for Jingyang Yan: ORCID iD orcid.org/0009-0006-8378-4470
ORCID for Nicholas Dacre: ORCID iD orcid.org/0000-0002-9667-9331
ORCID for Hao Dong: ORCID iD orcid.org/0000-0002-3458-4986

Catalogue record

Date deposited: 20 May 2026 17:02
Last modified: 21 May 2026 02:02

Export record

Altmetrics

Contributors

Creator: Jingyang Yan ORCID iD
Research team head: Nicholas Dacre ORCID iD
Research team head: Hao Dong ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×