A comprehensive review of cold chain logistics for fresh agricultural products: Current status, challenges, and future trends

Han, Jia‐Wei; Zuo, Min; Zhu, Wenying; Zuo, Jinhua; Lü, Enli; Yang, Xinting

doi:10.1016/j.tifs.2021.01.066

Cited by 191 publications

(97 citation statements)

References 87 publications

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“…e index system is determined by using the knowledge of experts to carry out the Delphi scoring method, to determine the lowest evaluation index, and to obtain a higher level of score [9][10][11][12], and finally, the main steps for determining the weight of the index according to the relevant analytic hierarchy process include the following:…”

Section: Determining the Weight Of The Indicator Systemmentioning

confidence: 99%

Research on the Architecture of Cold Chain Logistics Multimedia Monitoring and Tracking Service Platform Based on Fuzzy Sorting and Heuristic Algorithm

Zhang

2021

Advances in Multimedia

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With the continuous development of social economy, the logistics system has been continuously improved. In addition to traditional domestic postal transportation and car consignment, emerging logistics methods such as SF Express and Yunda have also emerged. Aiming at the features such as fragility of fruits and vegetables and high storage requirements, in this paper, a cold chain logistics multimedia monitoring and tracking service platform is built in an attempt to monitor the preservation environment and safety status of agricultural products relying on fuzzy sorting and heuristic algorithms, trace agricultural products with labels, and design the direction of the key data. The practice results show that the system is effective.

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Section: Determining the Weight Of The Indicator Systemmentioning

confidence: 99%

Research on the Architecture of Cold Chain Logistics Multimedia Monitoring and Tracking Service Platform Based on Fuzzy Sorting and Heuristic Algorithm

Zhang

2021

Advances in Multimedia

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“…One of the causes is the heavy load of administrative tasks, with still paper-based contracts, e.g., the CMR papers [37]. The third requirement is that a solution must provide enact real-time payment (R3) to help carriers optimize their commercial processes and operating costs [10,39,37,40]. There is a need for a cost-efficient, secure, and fast payment process right after delivery on the carrier side [38].…”

Section: Designing Requirementsmentioning

confidence: 99%

Decentralized procurement mechanisms for efficient logistics services mapping - a design science research approach

Henry¹,

Beck²,

Laga³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Companies tend to outsource logistics services for flexibility or platform operating costs reduction. To do so, they typically use centralized platforms to delegate the services procurement process. However, those platforms can be prone to information asymmetries between carriers and shippers which can lead to sub-optimal procurement outcomes. A more transparent and efficient way to manage the procurement of logistics services between carriers and shippers could be a decentralized platform based on blockchain and smart contracts. In this paper, we design, implement, and evaluate the potential for a decentralized logistics services procurement system, following a design science research approach. In so doing, we contribute by (1) developing such a decentralized logistics services procurement system that addresses the allocation problem, and (2) developing a set of nascent design principles guiding the elaboration of decentralized procurement mechanisms on blockchain.

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“…Nowadays, there are several food safety traceability frameworks and construction standards, e.g., the Rapid Alert System for Food and Feed (RASFF) system approved by the European Union, Food Safety System Certification (FSSC) framework, and the GEMS/Food Contamination Monitoring and Assessment Programme (GEMS/Food) established by the World Health Organization (WHO), which aim to effectively manage accident safety risks, promote quality improvement, maximize consumer trust, support market efficiency, and achieve precision agriculture within the supply chain [ 9 ]. Similarly, China has rapidly developed a fully functional national surveillance system monitoring various hazards based on the Hazard Analysis Critical Control Point (HACCP) standard [ 10 ].…”

Section: Related Workmentioning

confidence: 99%

Deep‐Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT‐Based Intelligent Food Management Systems

Kong

Yang

Wang

et al. 2021

Computational Intelligence and Neuroscience

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Food quality and safety issues occurred frequently in recent years, which have attracted more and more attention of social and international organizations. Considering the increased quality risk in the food supply chain, many researchers have applied various information technologies to develop real-time risk identification and traceability systems (RITSs) for preferable food safety guarantee. This paper presents an innovative approach by utilizing the deep-stacking network method for hazardous risk identification, which relies on massive multisource data monitored by the Internet of Things timely in the whole food supply chain. The aim of the proposed method is to help managers and operators in food enterprises to find accurate risk levels of food security in advance and to provide regulatory authorities and consumers with potential rules for better decision-making, thereby maintaining the safety and sustainability of food product supply. The verification experiments show that the proposed method has the best performance in terms of prediction accuracy up to 97.62%, meanwhile achieves the appropriate model parameters only up to 211.26 megabytes. Moreover, the case analysis is implemented to illustrate the outperforming performance of the proposed method in risk level identification. It can effectively enhance the RITS ability for assuring food supply chain security and attaining multiple cooperation between regulators, enterprises, and consumers.

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A comprehensive review of cold chain logistics for fresh agricultural products: Current status, challenges, and future trends

Cited by 191 publications

References 87 publications

Research on the Architecture of Cold Chain Logistics Multimedia Monitoring and Tracking Service Platform Based on Fuzzy Sorting and Heuristic Algorithm

Research on the Architecture of Cold Chain Logistics Multimedia Monitoring and Tracking Service Platform Based on Fuzzy Sorting and Heuristic Algorithm

Decentralized procurement mechanisms for efficient logistics services mapping - a design science research approach

Deep‐Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT‐Based Intelligent Food Management Systems

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