2023
DOI: 10.1109/jiot.2022.3142095
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Edge-Cloud Blockchain and IoE-Enabled Quality Management Platform for Perishable Supply Chain Logistics

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Cited by 28 publications
(6 citation statements)
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References 34 publications
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“…Zhao et al (2020) propose an IoT-enabled indoor parking system with a selflearning genetic tracking algorithm to improve the logistics efficiency and lower congestion situation, which contributes to the sustainable logistics. Yang et al (2022) develop an edgecloud blockchain and Internet of Everything (IoE)-enabled quality management system to enhance the consistency and transparency in cold supply chain logistics. The effectiveness of cooperation among different LSPs in the logistics and supply chain has been proved in recent years (Liu and Wang, 2019).…”
Section: Literature Review 21 Sustainable E-commerce Logisticsmentioning
confidence: 99%
“…Zhao et al (2020) propose an IoT-enabled indoor parking system with a selflearning genetic tracking algorithm to improve the logistics efficiency and lower congestion situation, which contributes to the sustainable logistics. Yang et al (2022) develop an edgecloud blockchain and Internet of Everything (IoE)-enabled quality management system to enhance the consistency and transparency in cold supply chain logistics. The effectiveness of cooperation among different LSPs in the logistics and supply chain has been proved in recent years (Liu and Wang, 2019).…”
Section: Literature Review 21 Sustainable E-commerce Logisticsmentioning
confidence: 99%
“…Given the frequent product recalls faced by F&B businesses, blockchains can be beneficial to achieve provenance and immutability by sharing its decentralized and transaction data across different supply chain stages (Yang et al , 2022). Blockchains can substantially assist the F&B industry in improving real-time coordination between business partners to achieve more cost-efficient and eco-environmental business performance.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Numerous researchers are eagerly contributing to holistic performance enhancement by adopting heuristic and metaheuristic algorithms that are used extensively for time-cost optimization in cloud computing [11]. Equally, in [12], the study focuses on elevating various performance aspects of quality management (QM) and bolstering consumer confidence within the Internet of Everything (IoE) framework. The study introduces a QM platform designed to prioritize swift responses and minimize latency in acquiring sensor data, while also ensuring authentication, data consistency, and transparency in the context of cold supply chain logistics.…”
Section: Related Workmentioning
confidence: 99%