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Internet of Things and Artificial Intelligence as Enablers for Circular Economy

The traditional linear economy, using a take-make-dispose model is resourceintense
and comes with adverse environmental impacts. Circular economy (CE)
is regenerative and restorative by design and intention and is recommended as
the business model for efficient use of resources. Despite the push for businesses
and organisations to switch from linear to CE, there are several
barriers/challenges that need solving 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 proactive monitoring of product's residual value,
that can potentially motivate businesses to pursue circularity decisions. In this
thesis, an Internet of Things (IoT)-enabled decision support system (DSS) for CE
business model is proposed. The aim is to effectively enable tracking, monitoring,
and analysis of products in real time with focus on residual value. The business
model is implemented using an ontological model. This model is complemented by a semantic DSS. The semantic ontological model, first of its kind, is evaluated
for technical compliance, quality of modelling and domain coverage, for final reengineering
and re-evaluations. The DSS and the ontological model is applied in
a real-world use case and demonstrate viability and applicability of the approach to businesses and sustainability via Sustainable Development Goals (SDGs)
lens. The results of the comparison of this novel model to the linear economy is
promising with the novel model proving more profitable and resource efficient. / Petroleum Development Technology Fund (PTDF) Nigeria

Identiferoai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/20048
Date January 2023
CreatorsMboli, Julius S.
ContributorsNot named
PublisherUniversity of Bradford, Department of Computer Science. Faculty of Engineering and Informatics
Source SetsBradford Scholars
LanguageEnglish
Detected LanguageEnglish
TypeThesis, doctoral, PhD
Rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.

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