Research Repository
Dr. Julius Sechang Mboli J.Mboli@hull.ac.uk
Lecturer, Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM) – Business
Professor Dhaval Thakker D.Thakker@hull.ac.uk
Professor of Artificial Intelligence(AI) and Internet of Things(IoT)
Jyoti Mishra
The circular economy (CE) is preferred to linear economy (LE) as it aims to keep resources in use for as long as possible, extracting maximum value before recovering and regenerating them. This reduces the need to extract new raw materials and reduces waste, leading to more sustainable economic growth. Contrarily, LE also known as a”take, make, use, dispose” model, is based on resources extraction, products creation, and waste disposal, which can lead to depletion of resources, environmental degradation and several other hazards. Several barriers are delaying the switching to CE. Artificial Intelligence (AI) and emerging technologies can play significant roles in the implementation of CE. In this work, A novel AI-powered model that can serve as a Decisions Support System (DSS) for CE models is proposed and demonstrated. Product life extension is created via reuse, repair, remanufacture, recycle and cascade loop. The result of the model outperformed the LE model. The study demonstrates that technologies can enable smart monitoring, tracking, and analysis of products to support decision-making (DM). AI-powered sensors and devices can monitor the use of resources in real-time, allowing for more accurate tracking and reporting of resource use.
Mboli, J. S., Thakker, D., & Mishra, J. (2023, April). Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models. Presented at International Conference on Enterprise Information Systems, ICEIS - Proceedings, Prague, Czech Republic
| Presentation Conference Type | Edited Proceedings |
|---|---|
| Conference Name | International Conference on Enterprise Information Systems, ICEIS - Proceedings |
| Start Date | Apr 24, 2023 |
| End Date | Apr 26, 2023 |
| Acceptance Date | Jan 1, 2025 |
| Publication Date | May 8, 2023 |
| Deposit Date | Jan 30, 2025 |
| Electronic ISSN | 2184-4992 |
| Peer Reviewed | Peer Reviewed |
| Volume | 1 |
| Pages | 656-666 |
| ISBN | 9789897586484 |
| DOI | https://doi.org/10.5220/0011997100003467 |
| Public URL | https://hull-repository.worktribe.com/output/5010677 |
An Internet of Things-enabled decision support system for circular economy business model
(2020)
Journal Article
Tailored Risk Assessment and Forecasting in Intermittent Claudication: A Proof of Concept Decision Support Tool
(2024)
Presentation / Conference Contribution
Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance
(2024)
Presentation / Conference Contribution
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search