Logistics Exceptions Monitoring for Anti-counterfeiting in RFID-Enabled Supply Chains
In recent years, the radio frequency identification (RFID) technology has been used as a promising tool for anti-counterfeiting in RFID-enabled supply chains due to its track-and-trace abilities of contactless object identification with the unique electro
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College of Information Science and Technology, Hainan University, Haikou, China [email protected], [email protected] Department of Computing and Information Systems, University of Greenwich, London, UK [email protected]
Abstract. In recent years, the radio frequency identification (RFID) technology has been used as a promising tool for anti-counterfeiting in RFID-enabled supply chains due to its track-and-trace abilities of contactless object identification with the unique electronic product code (EPC). While this system does improve its performance in many ways, uncertainties of daily operations might bring about one or more logistics exceptions, which would further trigger other dependent exceptions. These exceptions could be well organized and exploited by adversaries to fool the system for counterfeiting while related reports are unfortunately very few. In this paper, we presented our results focusing on the inter-dependencies between those logistics exceptions and the detecting intelligence in a resource-centric view. A cause-effect relational diagram is first developed to explicitly express the relations among those logistics exceptions by incorporating the taxonomy of exceptions and resource-based theory, and then an improved intelligent exception monitoring system is designed to achieve the goal of autonomous, flexible, collaborative and reliable logistics services. Finally, a case study of two typical logistics exceptions indicates that our proposed cause-effect diagram outperforms the extant approaches in the understanding of group logistics exceptions, which enables the designed monitoring system to perform well for anti-counterfeiting. Keywords: RFID-enabled supply chains Relational diagram Anti-counterfeiting Logistics exceptions Exceptions monitoring
1 Introduction In recent years, the radio frequency identification (RFID) technology has been used as a promising method for anti-counterfeiting in RFID-enabled supply chains due to its track-and-trace abilities of contactless object identification with the unique electronic product code (EPC). The e-pedigree that is dynamically updated at each node of the supply chain could build a complete view of the product history of its activities starting from manufacturing or even earlier and be examined and authenticated for data © Springer Nature Switzerland AG 2019 K. Arai et al. (Eds.): FICC 2018, AISC 887, pp. 488–505, 2019. https://doi.org/10.1007/978-3-030-03405-4_34
Logistics Exceptions Monitoring for Anti-counterfeiting
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consistency [1–3]. This sounds very effective when used for product anti-counterfeiting since the “visibility of the e-pedigree” is able to remove the uncertainty along the supply chain and thus provide with “certain belief” of the product. However, some uncertainties due to the changing real world still exist and unexpected exceptions can inevitably occur. For example, a sudden change of the weather condition may cause the delay of the delivery of the product and make the data inconsistent between the actual delivery date
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