Abstract
Real-time and item-level traceability is critical in many industries such as the food, health care, and pharmaceutical industries. However, it’s still not clear how traceability, especially at the item level and in real time, could impact supply chain health, safety, and environment (HSE) control. In this research-in-progress, we investigate this rarely-studied problem based on IoT (Internet of Things) automatic tracking/tracing technologies. We first introduce a theoretic framework of three traceability levels: physical flow traceability, business process traceability, and performance traceability. We extend this framework by adopting a Bayesian causal network model for decision support.
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Zhou, W., Piramuthu, S. (2015). IoT and Supply Chain Traceability. In: Doss, R., Piramuthu, S., ZHOU, W. (eds) Future Network Systems and Security. FNSS 2015. Communications in Computer and Information Science, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-319-19210-9_11
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DOI: https://doi.org/10.1007/978-3-319-19210-9_11
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