Advancing process analytics for agri-food supply chains
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Owen Keates Thesis(3).pdf. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
This thesis examined how emerging process centric technologies can assist in solving complex agri-food supply chain challenges. A process for configuring and applying process aware digital twins for monitoring and managing productivity, risk and sustainability was developed. The frameworks and supporting IT Artifacts, developed through an Action Design Research Methodology, were evaluated on an integrated cattle supply chain as well as a banana farm and its supply chain and found to produce actionable insights.
Impact and interest:
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| ID Code: | 244720 |
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| Item Type: | QUT Thesis (Higher Doctorate) |
| Supervisor: | Wynn, Moe & Bandara, Wasana |
| Keywords: | agri-food supply chains, process orchestration, process analytics, risk management in agri-food supply chains, sustainability in agri-food supply chains, Industry 4.0 enabled platforms, digital twins |
| DOI: | 10.5204/thesis.eprints.244720 |
| Pure ID: | 149813601 |
| Divisions: | Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Information Systems |
| Institution: | Queensland University of Technology |
| Deposited On: | 27 Nov 2023 13:41 |
| Last Modified: | 24 Feb 2024 23:58 |
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