An Internet of Things-enabled decision support system for circular economy business model

Mboli, Julius Sechang; Thakker, Dhavalkumar; Mishra, Jyoti L

Abstract

The traditional linear economy using a take-make-dispose model is resource intensive and has adverse environmental impacts. Circular economy (CE) which is regenerative and restorative by design is recommended as the business model for resource efficiency. While there is a need for businesses and organisations to switch from linear to CE, there are several challenges that needs addressing such as business models and the criticism of CE projects often being small scale. Technology can be an enabler toward scaling up CE; however, the prime challenge is to identify technologies that can allow predicting, tracking and proactively monitoring product's residual value to motivate businesses to pursue circularity decisions. In this paper, we propose an IoT-enabled decision support system (DSS) for CE business model that effectively allows tracking, monitoring, and analysing products in real time with the focus on residual value. The business model is implemented using an ontological model. This model is complemented by a semantic decision support system. The semantic ontological model, first of its kind, is evaluated for technical compliance. We applied DSS and the ontological model in a real-world use case and demonstrate viability and applicability of our approach.

Citation

Mboli, J. S., Thakker, D., & Mishra, J. L. (2022). An Internet of Things-enabled decision support system for circular economy business model. Software: Practice and Experience, 52(3), 772--787. https://doi.org/10.1002/spe.2825

• Journal Article Type: Article
• Acceptance Date: Feb 19, 2020
• Online Publication Date: Apr 5, 2020
• Publication Date: Mar 1, 2022
• Deposit Date: Dec 10, 2024
• Publicly Available Date: Dec 10, 2024
• Journal: Software: Practice and Experience
• Print ISSN: 0038-0644
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 52
• Issue: 3
• Pages: 772--787
• DOI: https://doi.org/10.1002/spe.2825
• Keywords: Circular economy; Circular supply chain management; Decision support systems; Industry 4.0; Internet of Things; Semantic technology; Zero waste
• Public URL: https://hull-repository.worktribe.com/output/4099596
• Other Repo URL: https://eprints.whiterose.ac.uk/158222/