Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning

Elshafei, Basem; Martínez-Arellano, Giovanna; Chaplin, Jack C.; Ratchev, Svetan

Abstract

Supply chains have been profoundly impacted by recent global disruptions, resulting in widespread shortages of parts, goods, and raw materials, significantly affecting the manufacturing sector to the extent of halting production lines completely. This paper employs semantic ontology reasoning to model a disruption in the value chain for a manufacturer, to generate and plan potential responses. First, a clear understanding of the available resources, capabilities, and entities is essential to construct a digital representation of the relationships throughout the chain. Then, using ontological reasoning, the model identifies the affected processes and products specific to the disruption, subsequently suggesting a set of coordinated responses to maintain productivity.

Citation

Elshafei, B., Martínez-Arellano, G., Chaplin, J. C., & Ratchev, S. (2024). Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning. IFAC-PapersOnLine, 58(19), 789-794. https://doi.org/10.1016/j.ifacol.2024.09.202

• Journal Article Type: Article
• Acceptance Date: May 30, 2024
• Online Publication Date: Oct 9, 2024
• Publication Date: Oct 9, 2024
• Deposit Date: Aug 5, 2024
• Publicly Available Date: Oct 10, 2025
• Electronic ISSN: 2405-8963
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 58
• Issue: 19
• Pages: 789-794
• DOI: https://doi.org/10.1016/j.ifacol.2024.09.202
• Keywords: Semantic Ontology; Disruption Modelling; Supply Shortages; Reasoning Engines; Supply Network Resilience; Automated Responses to Disruptions
• Public URL: https://nottingham-repository.worktribe.com/output/38105311
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S2405896324016215