IoT Data Qualification for a Logistic Chain Traceability Smart Contract

Abstract

In the logistic chain domain, the traceability of shipments in their entire delivery process from the shipper to the consignee involves many stakeholders. From the traceability data, contractual decisions may be taken such as incident detection, validation of the delivery or billing. The stakeholders require transparency in the whole process. The combination of the Internet of Things (IoT) and the blockchain paradigms helps in the development of automated and trusted systems. In this context, ensuring the quality of the IoT data is an absolute requirement for the adoption of those technologies. In this article, we propose an approach to assess the data quality (DQ) of IoT data sources using a logistic traceability smart contract developed on top of a blockchain. We select the quality dimensions relevant to our context, namely accuracy, completeness, consistency and currentness, with a proposition of their corresponding measurement methods. We also propose a data quality model specific to the logistic chain domain and a distributed traceability architecture. The evaluation of the proposal shows the capacity of the proposed method to assess the IoT data quality and ensure the user agreement on the data qualification rules. The proposed solution opens new opportunities in the development of automated logistic traceability systems.

A Proposed of Halal Food Supply Chain Traceability Model

“…5) Malicious attacks on traceability devices might be feasible. 6) Possible issues in data integrity, tampering, and single points of failure 7) Data integrity is possible inaccurate 8) IoT data event incoherence sent from several IOT data sources (Duan et al, 2020;Mirabelli & Solina, 2020;Ahmed et al, 2021) 6 Technol ogy Artificia l Intellig ence 1) A.I. integration may influence the human workforce 2) Breach of data privacy 3) Some stakeholders are unable to cope with technology (Baryannis et al, 2019;Di Vaio et al, 2020;Riahi et al, 2021) 7 Technol ogy Blockch ain 1) Quality perceptions and purchasing decisions depend on complete traceability devices 2) An inadequate grasp of technological challenges and raw data manipulation 3) Difficulties in enlisting the support by stakeholders, as well as lack of rules 4) Due to the huge number of users and transactions in one FSC.…”

A Systematic Literature Review of Blockchain-Enabled Supply Chain Traceability Implementations

“…For maximum transparency and traceability, the proposed system permanently stores and records all activities, events, and transactions on the blockchain, which is linked to peer-to-peer decentralised file systems like IPFS, Swarm, Filecoin, and others [86]. Finally, to improve the quality of IoT-related data in the context of logistics traceability, the authors in [87] propose a distributed architecture. They apply their approach in a medical equipment use case scenario related to perishable medical diagnostic kits.…”

Supply chain management and industry 4.0

“…This is because there is currently no standardization for IoT devices. This lack of standardization makes it difficult for different devices to communicate with each other, which limits the potential of IoT (Ahmed et al, 2021).…”