A Digital Twin Based Framework to Enhance Productivity Processes in Retail Industry
This paper presents an innovative model, the Productivity Twin, a digital twin of the productivity process that can significantly enhance productivity measurement and help in decision making process for all stakeholders. In this paper, we focus on the application of this model in the retail industry where the model uses data collected from retail outlets, incorporates sophisticated data analysis techniques and AI algorithms to develop bespoke insights from the data to enhance the overall productivity of a company and its processes. A case study from a leading productivity consulting firm in the UK is used for validation.
Authors
- Chris Simms (ORCID: https://orcid.org/0000-0001-5172-4453)
- Rushan Arshad
- Salem Chakhar
- Edward Smart (ORCID: https://orcid.org/0000-0003-4089-7476)
- Nigel Williams
- Simon Hedaux
- James Bolle
Institutions
- University of Portsmouth (GB)
Publication Details
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1109/dasa63652.2024.10836574
- Citations
- 1
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- Innovate UK