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Journal articles on the topic 'Cold chain system'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Zhang, Yinuo, and Guowei Hua. "Intelligent Food Cold Chain System Design." IOP Conference Series: Materials Science and Engineering 782 (April 15, 2020): 032045. http://dx.doi.org/10.1088/1757-899x/782/3/032045.

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Chen, Jun, Yu Pei, and Shiyan Xu. "Cold Chain Synergy of Chain Restaurant." Journal of Economics and Public Finance 5, no. 2 (May 16, 2019): p219. http://dx.doi.org/10.22158/jepf.v5n2p219.

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With the economic development and social progress, the modern catering industry represented by chain operation is gradually moving towards industrialization, chain operation, and modernization. The chain restaurant industry relies more on professional and efficient cold chain supply chain design and services. The cold chain supply chain system includes a distribution center based on the central kitchen, specialized third-party logistics based on its own or outsourced cold chain logistics, and food taste quality research and development represented by new technologies.

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Tang, Jie, Yifeng Zou, Ruhe Xie, Bo Tu, and Guanghai Liu. "Compact supervisory system for cold chain logistics." Food Control 126 (August 2021): 108025. http://dx.doi.org/10.1016/j.foodcont.2021.108025.

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4

Luo, Heng, Minjie Zhu, Sengang Ye, Hanping Hou, Yong Chen, and Larissa Bulysheva. "An intelligent tracking system based on internet of things for the cold chain." Internet Research 26, no. 2 (April 4, 2016): 435–45. http://dx.doi.org/10.1108/intr-11-2014-0294.

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Purpose – Monitoring the real-time temperature, humidity, and physical position status of goods is vital in the cold chain. Diverse logistics technologies and systems have been adopted in the cold chain for monitoring perishable goods. However, these technologies and systems are independent from each other. Data and information in them are not integrated so that information control is not effective. The paper aims to discuss these issues. Design/methodology/approach – By integrating Internet of Things and tracking technologies, this paper proposes an intelligent tracking system, which is designed to achieve effective and fast live monitoring of goods in the cold chain at the lowest cost and with the largest network capacity and simplest protocols. Findings – Structure and information platform design mechanism are introduced. The key part of this system is a wireless sensor network built on Zigbee. Wireless sensors located in cold storages or refrigerated trucks are able to collect and transmit live data quickly and efficiently. Originality/value – Users of the proposed system can easily monitor goods transported in cold chains. In addition, the system assigns specific servers to save historical data for inquiries.

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Tsang, Y. P., K. L. Choy, C. H. Wu, G. T. S. Ho, Cathy H. Y. Lam, and P. S. Koo. "An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks." Industrial Management & Data Systems 118, no. 7 (August 13, 2018): 1432–62. http://dx.doi.org/10.1108/imds-09-2017-0384.

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PurposeSince the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively established throughout the entire cold chain.Design/methodology/approachIn the design of IoTRMS, there are three major components for risk monitoring in cold chains, namely: wireless sensor network; cloud database services; and fuzzy logic approach. The wireless sensor network is deployed to collect ambient environmental conditions automatically, and the collected information is then managed and applied to a product quality degradation model in the cloud database. The fuzzy logic approach is applied in evaluating the cold-associated occupational safety risk of the different cold chain parties considering specific personal health status. To examine the performance of the proposed system, a cold chain service provider is selected for conducting a comparative analysis before and after applying the IoTRMS.FindingsThe real-time environmental monitoring ensures that the products handled within the desired conditions, namely temperature, humidity and lighting intensity so that any violation of the handling requirements is visible among all cold chain parties. In addition, for cold warehouses and rooms in different cold chain facilities, the personal occupational safety risk assessment is established by considering the surrounding environment and the operators’ personal health status. The frequency of occupational safety risks occurring, including cold-related accidents and injuries, can be greatly reduced. In addition, worker satisfaction and operational efficiency are improved. Therefore, it provides a solid foundation for assessing and identifying product quality and occupational safety risks in cold chain activities.Originality/valueThe cold chain is developed for managing environmentally sensitive products in the right conditions. Most studies found that the risks in cold chain are related to the fluctuation of environmental conditions, resulting in poor product quality and negative influences on consumer health. In addition, there is a lack of occupational safety risk consideration for those who work in cold environments. Therefore, this paper proposes IoTRMS to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques. The risk assessment and identification can be effectively established, resulting in secure product quality and appropriate occupational safety management.

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Zhang, Xu Feng, Zi Min Wu, and Xiao Jing Li. "Thoughts on the Construction of Cold Chain Logistics In-Car Networking System." Applied Mechanics and Materials 530-531 (February 2014): 1152–57. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.1152.

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As powerful guarantee for food quality, cold chain logistics has received world-wide concern and is considerably potential for China market. It is highly remarked for its high cost as well as requirement. In this paper we mainly discussed the construction method of intelligent transportation system of cold chain logistics. We introduced the concept of in-car networking to the cold chain logistics industry and explained the construction methods of cold chain logistics in-car networking from information acquirement, information transmission and information platform, providing ideas and innovation point for the construction of cold chain logistics intelligent transportation system.

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Li, Xuefeng, Ying Wang, and Xi Chen. "Cold chain logistics system based on cloud computing." Concurrency and Computation: Practice and Experience 24, no. 17 (September 22, 2011): 2138–50. http://dx.doi.org/10.1002/cpe.1840.

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8

Zhao, Guang Wei. "Food-Related Cold-Chain Logistics Management in China." Advanced Materials Research 962-965 (June 2014): 2373–76. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2373.

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Food cold chain is systematic project of a county's economic development which plays a vital role. This paper analyzed the composition conditions and characteristics of food cold chain logistics system, discussed the present situation for development and management of China's food cold chain logistics system. Finally we raised effective measures and recommendations for problems and future development trend of the domestic food cold chain logistics management system.

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9

Cui, Hongxiu. "Intelligent Coordination Distribution of the Whole Supply Chain Based on the Internet of Things." Complexity 2021 (March 17, 2021): 1–12. http://dx.doi.org/10.1155/2021/5555264.

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In this paper, through the intelligent research of the whole process of logistics and distribution with the Internet of Things supply chain, we study how to improve the development of the cold chain, reduce the loss in circulation, improve the social and economic benefits, and carry out intelligent information collection, monitoring, management, and information tracing of the whole cold chain. This paper analyzes and empirically studies the impact of key technologies of the Internet of Things in cold chain coordination from the perspective of building an intelligent cold chain coordination system with the Internet of Things technology. This paper analyzes the current situation of cold chain logistics and the impact that the application of IoT technology will have, explains that IoT technology can improve the intelligence level of the cold chain, and then introduces the application of intelligent cold chain logistics under IoT orientation, combining the process of cold chain logistics with the three-layer architecture of IoT technology. By extracting the key technologies of IoT perception layer, network layer, and intelligence layer, the intelligent cold chain coordination system based on IoT technology is constructed, and then, the correctness of the system is verified, to have some reference and evaluation for the cold chain construction. The system was then verified to have some reference and guidance significance for the construction and evaluation of the cold chain. The results of this paper are more accurate and more efficient.

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Wei, Zi Qiu, and Ming Fang Li. "Logistics Technology Implantation for Food Cold Chain Based on VPT and IDEF0." Advanced Materials Research 562-564 (August 2012): 1878–82. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1878.

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The cold chain process has been analyzed systematically for purpose of technology implantation properly. Firstly, the optimal direction has been proposed through summarize the problems by means of functional modeling process analysis. Secondly, Value-process-technology hierarchical model at all levels has been built to enhance the correspondence during technology, processes and value. At the same time, the value system model of cold chain, process system model of cold chain and technology system model of cold chain have been constructed. Finally, during these processes, empirical study was introduced to enhance the analysis of food cold chain logistics technology implantation.

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Kim, Seungeun, Joohyung Kim, and Dongsoo Kim. "Implementation of a Blood Cold Chain System Using Blockchain Technology." Applied Sciences 10, no. 9 (May 11, 2020): 3330. http://dx.doi.org/10.3390/app10093330.

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As the population structure changes due to lower fertility rates and rapid aging, the blood supply available for blood transfusion decreases and demand increases. In most countries, blood management information systems, led by national institutions, operate centrally. However, existing centralized blood management systems have limitations in that they lack detailed blood information and, moreover, information is not reflected in real time. To solve this problem, this paper presents an innovative blood cold chain system based on blockchain technology. The proposed system aims to increase information visibility by recording the overall information on the blood supply and providing detailed blood information such as blood consumption and disposal to the distributed ledger. In addition, this paper proposes direct blood transactions between medical institutions in cases of emergency. Currently, blockchain technologies are being actively employed in the supply chain management and medical fields in addition to financial systems. Particularly, private blockchain techniques with limited participants are relatively fast and reliable, making them suitable for B2B (Business-to-Business) transactions. Therefore, the proposed system is based on the architecture of Hyperledger Fabric, a private blockchain technology implemented by the Hyperledger Composer tool. Information in the proposed blood cold chain system cannot be forged or tampered with, and information recorded and shared in real time is kept transparent. In addition, allowing for B2B blood transaction in special circumstances will minimize the blood supply time and enable patients to be transfused quickly. Moreover, the surplus blood of medical institutions will be used to increase the usage rate relative to the supply amount.

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Zhang, Yong Jun, and En Xiu Chen. "Comprehensive Monitoring System of Fresh Food Cold Chain Logistics." Applied Mechanics and Materials 602-605 (August 2014): 2340–43. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2340.

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The paper discusses how to use the advanced technology of the Internet of things to realize the real-time monitoring of the library and the preservation of goods in transit third party cold chain logistics, mainly discusses how to network technology with Internet 3G network of RFID and WSN integrated network and intelligent nodes, realize the visualization of fresh goods real-time monitoring, convenient management personnel of customer inquiries and feedback information, to ensure the preservation of food quality and safety.

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13

Prakash, G., A. Pravin Renold, and B. Venkatalakshmi. "RFID based Mobile Cold Chain Management System for Warehousing." Procedia Engineering 38 (2012): 964–69. http://dx.doi.org/10.1016/j.proeng.2012.06.122.

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14

Zhang, Jinghan, Wujun Cao, and Minyoung Park. "Reliability Analysis and Optimization of Cold Chain Distribution System for Fresh Agricultural Products." Sustainability 11, no. 13 (July 1, 2019): 3618. http://dx.doi.org/10.3390/su11133618.

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In recent years, with the Chinese government’s emphasis on the development of the cold chain logistics market for fresh agricultural products, the rapid development of agricultural cold chain logistics has been promoted in many aspects. However, in the circulation of fresh agricultural products, there is still a serious problem of “broken chain” leading to a high corrosion rate. Therefore, this research has analyzed the uncertain factors affecting the cold chain distribution system based on fault tree model, and then transform it into Bayesian network to evaluate the reliability of the cold chain distribution system for fresh agricultural product, and identify the key factors affecting the reliability of the cold chain distribution system through calculated probability importance of each node. Then we have constructed nonlinear equations with the limit of the cost, based on reliability allocation method to improve the system reliability. Numerical examples are given to validate the proposed models. The optimization result shows that higher reliability value assigned to the factors with high probability importance is more conducive to the improvement of system reliability.

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SARITAS, M. Mustafa, Murat KOKLU, and Ilker Ali OZKAN. "A NOVEL EMBEDDED SYSTEM BASED ON COLD BOX DESIGN FOR THE COLD CHAIN." International Journal of Applied Mathematics, Electronics and Computers 5, no. 4 (December 31, 2017): 67–70. http://dx.doi.org/10.18100/ijamec.2017436077.

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16

Zhang, Ying, Ruqi Cheng, and Shaohui Chen. "Design of fresh food sensory perceptual system for cold chain logistics." ITM Web of Conferences 17 (2018): 03017. http://dx.doi.org/10.1051/itmconf/20181703017.

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According to the present stage low-level information of China's cold chain preservation, designed a kind of fresh food sensory perceptual system for cold chain logistics based on Internet of things. This system highly integrated applied many technologies such as the Internet of things technology, forecasting technology for fruits and vegetables preservation period, RFID and Planar bar code technology, big data and cloud computing technology and so on.Designed as a four-layer structure including sensing layer, network layer, control layer and user layer. The system can implement the real-time temperature and humidity environment parameters monitoring and early warning of the whole cold chain logistics for fresh agricultural products from picking, storage, transportation and processing link. It greatly improved the information level of cold chain circulation in our country and has a strong marketing value.

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Petrovic, Vladimir, Zorica Seguljev, and Branka Gajin. "Maintaining the cold chain for vaccines." Medical review 58, no. 7-8 (2005): 333–41. http://dx.doi.org/10.2298/mpns0508333p.

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Cold chain for vaccines a is a system for storing and transporting vaccines at very low temperatures to maintain their effectiveness before use. Because vaccines are sensitive biological substances, their exposition to high temperatures directly affects the quality of vaccines and safety of immunization. The goal of this study was to assess the safety of cold chain for vaccines within the cold chain system in two services of Health Center Novi Sad. Cold Chain Monitors (CCM) and Freeze Watch (FW) indicators were used. A total of 155 (94.5%) Cold Chain Monitors (CCM) and 100 (95.2%) Freeze Watch (FW) indicators were analyzed. Only one CCM showed a breach in cold chain. A total of 3 CCMs indicated risk of vaccine wastage. A total of 9 CCMs were colorized without risk of vaccine wastage, FWs were positive in a high percentage in both services of Health Center Novi Sad. FWs were exposed to low temperatures during transport. Statistically significant differences in the number of exposed CCMs to high temperatures and the number of exposed FWs to low temperatures were observed in these two services. A statistically significant difference in number of FWs exposed to low temperatures was observed in regard to the period of transport and the period of storage at the vaccination stations. The study shows high level of safety of the cold chain in two services of Health Center Novi Sad. Cold Chain Monitor is a reliable indicator of the quality of cold chain for vaccines. Freeze Watch is a reliable indicator of the quality of cold chain during storage of vaccines, but not during their transport.

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Tan, Yong Bin, and Qing Ying Zhang. "Food Cold Chain Transportation Management Based on Grid Technology." Applied Mechanics and Materials 543-547 (March 2014): 4540–42. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4540.

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The grid technology is applied in food cold chain transportation management field to improve the reaction speed of transportation problem and the processing speed of information system. According to the application of advanced logistics technology, modern food cold chain transportation management system for the development of cities is constructed. The system could ensure food cold chain transportation management operating effectively and efficiently.

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Li, Xinwu, Lin Yang, Yanqing Duan, Zhigang Wu, and Xiaoshuan Zhang. "Developing a Real-time Monitoring Traceability System for Cold Chain of Tricholoma matsutake." Electronics 8, no. 4 (April 11, 2019): 423. http://dx.doi.org/10.3390/electronics8040423.

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Tricholoma matsutake (T. matsutake) is a special type of fungus known as "the king of bacteria", and has the very high economic value. However, it is also very difficult to transport due to its corruptibility. Therefore, tracing and tracking the quality and safety of T. matsutake in the cold chain is very important and necessary. Based on changes in the cold chain environmental parameters determine the safety of T. matsutake is a viable option. This paper developed and tested a real-time monitoring traceability system (RM-TM) using emerging Internet of Things (IoT) technologies for monitoring the cold chain logistics environmental parameters of T. matsutake. Finally, system testing and evaluation have shown that RM-TM can track and monitor temperature, humidity, oxygen and carbon dioxide fluctuations in the cold chain in real-time. In addition, the collected data can be used to increase the transparency of cold chain logistics and to more effectively control quality, safety, and traceability. In general, the system evaluation results show that it is reliable and meets the requirements of users.

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Wang, Yujun, Jianjun Yi, Xiaomin Zhu, Jinlong Luo, and Baiyang Ji. "Developing an Ontology-Based Cold Chain Logistics Monitoring and Decision System." Journal of Sensors 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/231706.

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Nowadays the cold chain logistics for perishable goods is increasingly complex, while most of the research works are focusing on the monitoring of temperature and humidity but seldom on the assessment and decision support for the monitored cold chain quality. In this context, a monitoring and decision system based on wireless sensor networks (WSN) and ontology is proposed in this paper which consists of sensing layer, network layer, and application layer. Ontology, as a shared concept model, can describe the objective world better with its own syntax and provides the general understanding of the specialized knowledge in a domain. Therefore, cold chain quality assessment software based on ontology has been developed; consequently, assessment and diagnosis for cold chain quality can be achieved, which can provide constructive advice and suggestions for its treatment. A demonstration of the system along a rabies vaccine logistics chain is validated in this paper. These results proved that this system presents important advantages such as effective regulation, low power consumption, and accurate ontology-based analysis.

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Xu, Nai-Ru, and Zheng-Qun Cai. "Research on the Mechanism of Cold Chain Logistics Subsidy." Journal of Chemistry 2020 (April 19, 2020): 1–11. http://dx.doi.org/10.1155/2020/4565094.

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Considering the coexistence of cold chain agro-products and ordinary agro-products in the market, the research object is the cold chain logistics subsidy. It is designed that a supply chain system consisting of duopoly upstream agro-products suppliers and a downstream agro-products retailer for research. The mechanism of cold chain logistics subsidy is studied by analyzing the influence of cold chain subsidy on pricing behavior and cold chain decision-making of cold chain agro-products and ordinary agro-products. Based on the decentralized decision-making model without government subsidy, a differential pricing model for cold chain agro-products and ordinary agro-products with government subsidy is established in order to reduce the cost of cold chain agro-products. The optimal pricing strategy of two agro-products suppliers and their downstream retailer can be obtained by solving this problem. The research finds that differential pricing caused by government subsidy can achieve profit Pareto improvement of suppliers, retailer, and supply chain system of cold chain agro-products, but cannot achieve the optimal profit of the whole supply chain. Therefore, in view of the loss of supply chain efficiency caused by decentralized decision-making, the Shapley value method is used to make coordination, and the contract coordination mechanism is designed. Finally, the sensitivity of parameters is analyzed by a numerical example.

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Zhang, Hao, Bin Qiu, and Keming Zhang. "A new risk assessment model for agricultural products cold chain logistics." Industrial Management & Data Systems 117, no. 9 (October 16, 2017): 1800–1816. http://dx.doi.org/10.1108/imds-03-2016-0098.

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Purpose The purpose of this paper is to develop a quantitative risk assessment method for agricultural products cold chain logistics to assess the condition of the fresh agricultural products cold chain process objectively and accurately. Design/methodology/approach A risk assessment index system of agricultural products cold chain logistics is designed on the basis of the risk identification for the process of agricultural products cold chain logistics. This paper first uses catastrophe progression method and a new maximum deviation method to build an improved catastrophe progression assessment model for agricultural products cold chain logistics. In order to verify the reliability and validity of the model, two representative enterprises are selected as the case in the study. Findings The results in the empirical research indicate strong support for the assessment model and coincide with the reality. The risk assessment index system can also reflect the key risk factors from agricultural products cold chain logistics scientifically. In addition, the improved catastrophe progression assessment method proposed in this paper can be scientific and reasonable to predict risk. Research limitations/implications This paper contributes to provide a new risk assessment model for agricultural products cold chain logistics. The new model overcomes the limitation of subjective empowerment and it increases the objectivity and scientificity in the process of cold chain logistics risk assessment. This paper also shows that practitioners involved in the field of products cold chain logistics can manage the potential risk by a set of scientific methods for assessing the risk before the accident. Practical implications The paper provides a practical guideline to practitioners, especially for cold chain logistics managers, relevant management departments, and cold chain logistics management consultants. It is proved that the new risk assessment method and the risk assessment index system of agricultural products cold chain logistics can help them assess the risk scientifically and reasonably. Originality/value Although the calculation is simple, the new model can overcome the limitation of subjective empowerment scientifically and reasonably, and thus has important practical value.

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Zhang, Jin Hai, and Bo Ye. "Design and Realization of RFID Cold Chain Logistics Management System." Applied Mechanics and Materials 310 (February 2013): 584–87. http://dx.doi.org/10.4028/www.scientific.net/amm.310.584.

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RFID technology as one of the top ten technology of the 20th century, has been in transportation, logistics, industrial and other fields has been more and more widely applied, and are increasingly showing its great potential. RFID cold chain logistics management system to promote the implementation of automation, intelligence, and integration of software applications such as supply chain will play a great role in promoting.

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Weng, Xingang, and Jiuyi An. "Research on Fresh Agricultural Products Cold Chain Logistics Certification System." iBusiness 07, no. 04 (2015): 123–31. http://dx.doi.org/10.4236/ib.2015.74014.

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An, Jiuyi, and Feng Han. "Research on Urban Fresh Products Cold Chain Distribution Management System." Journal of Service Science and Management 08, no. 06 (2015): 817–22. http://dx.doi.org/10.4236/jssm.2015.86083.

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Lakshmil, V. R., and S. Vijayakumar. "Wireless Sensor Network based Alert System for Cold Chain Management." Procedia Engineering 38 (2012): 537–43. http://dx.doi.org/10.1016/j.proeng.2012.06.067.

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王, 曼曼. "Research on the Cold Chain Logistics System of Fresh Food." Management Science and Engineering 07, no. 02 (2018): 65–71. http://dx.doi.org/10.12677/mse.2018.72008.

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白, 冰轮. "Significance and Countermeasures of Cold Chain Food Distribution System Construction." Management Science and Engineering 08, no. 04 (2019): 333–38. http://dx.doi.org/10.12677/mse.2019.84040.

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Sudarshan, M. K., M. Sundar, N. Girish, S. Narendra, and Neela G. Patel. "An evaluation of cold chain system for vaccines in Bangalore." Indian Journal of Pediatrics 61, no. 2 (March 1994): 173–78. http://dx.doi.org/10.1007/bf02843611.

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Zeng, Xi, Shuxian Liu, and Yanru Chen. "Data visualization project implementation workflow of smart cold chain system." Journal of Physics: Conference Series 1883, no. 1 (April 1, 2021): 012172. http://dx.doi.org/10.1088/1742-6596/1883/1/012172.

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Jevinger, Åse, and Paul Davidsson. "System Architectures for Sensor-Based Dynamic Remaining Shelf-life Prediction." International Journal of Operations Research and Information Systems 10, no. 4 (October 2019): 21–38. http://dx.doi.org/10.4018/ijoris.2019100102.

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Different storage and handling conditions in cold supply chains often cause variations in the remaining shelf life of perishable foods. In particular, the actual shelf life may differ from the expiration date printed on the primary package. Based on temperature sensors placed on or close to the food products, a remaining shelf-life prediction (RSLP) service can be developed, which estimates the remaining shelf life of individual products, in real-time. This type of service may lead to decreased food waste and is used for discovering supply chain inefficiencies and ensuring food quality. Depending on the system architecture, different service qualities can be obtained in terms of usability, accuracy, security, etc. This article presents a novel approach for how to identify and select the most suitable system architectures for RSLP services. The approach is illustrated by ranking different architectures for a RSLP service directed towards the supply chain managers. As a proof of concept, some of the most highly ranked architectures have been implemented and tested in food cold supply chains.

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Asamoah, Anthoniette, Nancy Innocentia Ebu Enyan, Abigail Kusi-Amponsah Diji, and Charles Domfeh. "Cold Chain Management by Healthcare Providers at a District in Ghana: A Mixed Methods Study." BioMed Research International 2021 (September 13, 2021): 1–12. http://dx.doi.org/10.1155/2021/7559984.

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Background. Despite the relevance of cold chain management in maintaining the potency of vaccines, gaps still exist in the ability of healthcare practitioners to maintain the cold chain system effectively. Thus, the current study sought to assess healthcare providers’ knowledge, attitudes, practices, and challenges regarding cold chain management. Methods. A concurrent mixed methods study was conducted at twelve facilities in the Sekyere Central District of Ghana. Eighty-six (86) participants took part in a survey that assessed their “cold chain management” knowledge and attitudes. Twelve (12) cold chain sites within the district were also observed in respect of their cold chain management practices. Eleven key informants were additionally interviewed to explore their challenges on cold chain management. Quantitative data were analyzed using descriptive (frequencies, percentages, means, standard deviations, ranges) and inferential statistics (Spearman’s rho correlation). Qualitative data were inductively analyzed into themes which described participants’ challenges on cold chain management. Results. Majority of the participants scored ≥70% on knowledge (68.6%) and attitudes (67.4%) toward cold chain management. However, there was a very weak positive and statistically insignificant relationship between participant’s knowledge and attitudes toward cold chain management ( r = 0.109 , p = 0.317 ). Regarding cold chain management practices, majority of the facilities had their vaccine vial monitors attached to the vaccines (8/12, 66.7%), had functional fridge tags (8/12, 66.7%), and an appropriate refrigerator to store vaccines (7/12, 58.3%). However, the study observed that 91.7% (11/12) of the facilities did not have policies and guidelines on cold chain management while all 12 facilities (100%) did not have a contingency plan in place for equipment. With regards to the cold chain management challenges, participants raised concerns about inadequate personnel, erratic power supply, logistical constraints, and transportation difficulties. Conclusion. Although majority of the participants had good knowledge and attitude towards cold chain management, there was a weak association between them. This implies that good knowledge may not necessarily influence good attitudes towards cold chain management and vice versa. The extent to which facilities support cold chain management practices was suboptimal. Participants encountered a number of challenges which prevented them from managing the vaccine cold chain system effectively. We recommend continual professional education for cold chain practitioners, provision of adequate human and material resources for cold chain management, and enhanced monitoring and evaluation of cold chain activities. Future studies should quantitatively measure individual participants’ knowledge, attitudes, practices, and challenges on cold chain management so that we can establish the relationships that exist between these components.

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Che, Sanghyun, Juwon Kim, and Daejun Chang. "Liquid Air as an Energy Carrier for Liquefied Natural Gas Cold Energy Distribution in Cold Storage Systems." Energies 14, no. 2 (January 6, 2021): 272. http://dx.doi.org/10.3390/en14020272.

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Liquid air can be employed as a carrier of cold energy obtained from liquefied natural gas (LNG) and surplus electricity. This study evaluates the potential of liquid air as a distributed source with a supply chain for a cold storage system using liquid air. Energy storing and distributing processes are conceptually designed and evaluated considering both the thermodynamic and economic aspects. Further, the proposed supply chain is compared with a conventional NH3/CO2 cascade refrigeration system. The thermodynamic analysis demonstrates that the exergy efficiency and the coefficient of performance of the proposed supply chain are 22% and 0.56, respectively. Economic analysis is based on a life cycle cost (LCC) evaluation. From the economic analysis, the liquid air production cost and the LCC of a liquid air cold storage system (LACS) are estimated to be 40.4 USD/ton and 34.2 MMUSD, respectively. The LCC is reduced by 19% in the LACS compared with the conventional refrigeration system. The proposed supply chain is economically feasible, although its thermodynamic performances are lower than those of the conventional system. The sensitivity analysis indicates that LNG mass flow rate in the air liquefaction system and the cold storage operating time are dominant parameters affecting the economic performance.

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Tsang, YP, KL Choy, CH Wu, GTS Ho, HY Lam, and PS Koo. "An IoT-based cargo monitoring system for enhancing operational effectiveness under a cold chain environment." International Journal of Engineering Business Management 9 (January 1, 2017): 184797901774906. http://dx.doi.org/10.1177/1847979017749063.

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Differing from managing a general supply chain, handling environmentally sensitive products (ESPs) requires the use of specific refrigeration systems to control the designated range of storage conditions, such as temperature, humidity, and lighting level in a cold chain environment. In general, third-party logistics (3PL) companies are authorized to handle ESPs, who therefore need to have a good cargo monitoring system in the cold chain environment, without which the functional quality is difficult to control and manage. This may result in product deterioration and even inventory obsolescence of the ESPs due to the lack of such systems, so there is a need to develop an effective cargo monitoring system to prevent such situations. This article proposes an Internet of Things-based cargo monitoring system (IoT-CMS) to monitor any environmental changes of ESPs in order to ensure their functional quality throughout the entire cold chain operational environment. Operational efficiency, maintenance strategy, environmental change, and electricity consumption are considered in real-life cold chain operations. Through applying (i) a wireless sensor network to collect real-time product information, together with (ii) fuzzy logic and case-based reasoning techniques to suggest appropriate storage conditions for various ESPs, effective storage guidance can be established. Through conducting the case study in a 3PL company in Hong Kong, the performance in customer satisfaction, obsolescence rate, and inventory visibility after adoption of IoT-CMS is evaluated. It is found that the functional quality of ESPs can be effectively assured, and the overall customer satisfaction is increased.

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Hu, Bin, Bangtong Huang, Zheng Liu, Hangxin Guo, Zihong Chen, and Lihua Shi. "Optimization Model of Carbon Footprint of Fresh Products in Cold Chain from the Energy Conservation and Emission Reduction Perspective." Mathematical Problems in Engineering 2021 (April 16, 2021): 1–11. http://dx.doi.org/10.1155/2021/5559021.

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The carbon footprint of the cold chain logistics system refers to the greenhouse gas emissions directly or indirectly caused in each link of the cold chain logistics activities. Because cold chain logistics is the main carbon emitter in the field of logistics, research on how to reduce carbon emissions in the field of cold chain logistics plays an important role in energy conservation and emission reduction. Based on the in-depth analysis of the carbon footprint of cold chain logistics, this paper introduces the distance coefficient and freshness parameters into the optimization model innovatively and uses the life cycle assessment method and input-output method to determine the calculation range of the carbon footprint of fresh products of each link in the cold chain logistics. The system calculates the carbon emissions generated by the production and operation activities of each place of origin, distribution center, retailer, and waste disposal during the circulation of fresh products. This paper establishes a carbon footprint optimization model to discuss how to balance carbon constraints and minimized costs. Through the analysis of the simulation results, from the perspective of the government and enterprises, corresponding countermeasures are put forward to more effectively achieve the goal of energy conservation and emission reduction and guide the cold chain logistics industry to sustainable development.

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Wu, Mei Mei. "The Design and Implementation of Food Cold Chain Monitoring System Based on ZigBee." Applied Mechanics and Materials 751 (April 2015): 281–86. http://dx.doi.org/10.4028/www.scientific.net/amm.751.281.

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The article mainly introduced the design and implementation of food cold chain monitoring system, Introduces the realization method of ZigBee, GPS, GPRS, GIS, embedded system and remote database and remote access technology based on the network, Realized the environment real-time monitoring and real-time location information records to the cold chain transportation of refrigerator truck, and can access it from the remote network.

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Zhang, Meng Ya, Qing Ying Zhang, Zhi Min Chen, and Ying Chi. "The Constructing of Integrated Remote Monitoring System for Cold Store." Advanced Materials Research 462 (February 2012): 313–17. http://dx.doi.org/10.4028/www.scientific.net/amr.462.313.

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Being an important node of cold chain logistics, the cold store has to be monitored and managed remotely in real-time, which is very important to operate the whole system effectively. With the help of wireless sensing network and other advanced techniques, a cold store remote monitoring system is set up, which is composed of digital video surveillance system, refrigeration control system and fire alarm system etc. Cold store is then monitored in a long range and managed systemically. The security and reliability of the cold store is guaranteed effectively.

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Jia, Zheng Yuan, and Xia Xia Yang. "Application of Entropy Weight Method and TOPSIS Model in the Cold-Chain Logistics and Distribution Center Location." Advanced Materials Research 569 (September 2012): 693–96. http://dx.doi.org/10.4028/www.scientific.net/amr.569.693.

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Based on system theory thinking and combing the qualitative and quantitative analysis method, this paper analyze the related factors affecting the cold-chain logistics and distribution center location. By building mathematical model for cold-chain logistics and distribution center location, and analyzing an example application, this paper verifies the rationality and feasibility of the model, and cold-chain logistics resource is configured appropriately.

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Ridwan, A., M. I. Santoso, P. F. Ferdinant, and R. Ankarini. "Design of strategic risk mitigation with supply chain risk management and cold chain system approach." IOP Conference Series: Materials Science and Engineering 673 (December 10, 2019): 012088. http://dx.doi.org/10.1088/1757-899x/673/1/012088.

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Xiong, Yazhou, Jie Zhao, and Jie Lan. "Performance Evaluation of Food Cold Chain Logistics Enterprise Based on the AHP and Entropy." International Journal of Information Systems and Supply Chain Management 12, no. 2 (April 2019): 57–67. http://dx.doi.org/10.4018/ijisscm.2019040104.

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This article evaluates the performance of food cold chain logistics enterprises based on the analytic hierarchy process (AHP) and entropy method. Based on the analysis of the present situation, an evaluation system of food cold chain logistics enterprises is established from four aspects, including the financial management, cold chain logistics process, development ability and customer service. The AHP method is used to determine subjective weights, and entropy method is used to get experts' own weights. Finally, a comprehensive index fusion weight is conducted. In addition, the result of an empirical analysis proved to be valid.

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Dai, Daoming, Xuanyu Wu, and Fengshan Si. "Complexity Analysis and Control in Time-Delay Vaccine Supply Chain considering Cold Chain Transportation." Mathematical Problems in Engineering 2020 (October 6, 2020): 1–15. http://dx.doi.org/10.1155/2020/4392708.

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Due to the important role of the vaccines in the prevention of global epidemics, this paper focuses on a vaccine transportation supply chain composed of one distributor and one retailer. Based on the assumption that the decision-maker does not make a decision instantaneously, we present a decision-making time-delay model. Firstly, we captured some sufficient conditions of delay-induced bifurcation for the model by regarding different combinations of the decision delay periods as the bifurcation parameters and analyzed how the speed of decision-making adjustment of distributor or retailer affects the critical point of system stability. Secondly, we made a numerical simulation on the model by using a two-dimensional bifurcation diagram, largest Lyapunov exponent, and entropy and chaotic attractor, respectively. Finally, we used two coordination methods to control chaos and compared them. The results show that when the decision delay exceeds a certain threshold, the system will lose stability or go into chaos. The precipitous speed of decision variable adjustment of the distributor or retailer will increase the entropy of the system and lead the system into a chaotic state. When the vaccine supply chain is in chaos, the effect of external control on chaos is better than that of internal control on chaos.

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Zhang, Zhi Ying, and Jia Hua Lu. "An Cold Experimental Analysis of Draught System with Chain-Grate Stoker." Advanced Materials Research 230-232 (May 2011): 1236–41. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.1236.

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The study of cold state testing and evaluation analysis were carried on the practical running chain-grate stoker, which has an air-supply system with air storehouse and airtrough, to study the air-distribution, air leakage, air tightness and air governing. The result shows that horizontal air distribution across the furnace and the air tightness of the components such as the air port (damper) and airtrough are good. However the air leakage is large because of the complex structure and the high demand of integrated air tightness either in the front or the back of the stoker. The cost of the stoker is high because of large quantity of machine work after casting and high demand of installation, thus the structure should be improved.

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Weng, Xingang, Hui Yang, and Lei Wang. "Research on Cold Chain Logistics Traceable System for Fresh Agricultural Products." American Journal of Industrial and Business Management 05, no. 12 (2015): 725–35. http://dx.doi.org/10.4236/ajibm.2015.512071.

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Wei, Jin. "Research on the Cold Chain Logistics Distribution System of Agricultural Products." IOP Conference Series: Earth and Environmental Science 237 (March 19, 2019): 052050. http://dx.doi.org/10.1088/1755-1315/237/5/052050.

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Shen, Xin, Qiao Liu, and Dawei Zhao. "Operating Models of Chinese Agricultural Cold Chain Based on System Dynamics." International Journal of u- and e- Service, Science and Technology 10, no. 6 (June 30, 2017): 81–92. http://dx.doi.org/10.14257/ijunesst.2017.10.6.08.

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Yao, Li Juan, Jie Li, and Jing Jing Han. "Application of virtual reality technology in intelligent cold chain logistics system." Journal of Physics: Conference Series 1651 (November 2020): 012030. http://dx.doi.org/10.1088/1742-6596/1651/1/012030.

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Panika, Ram K., Pankaj Prasad, and Sunil Nandeshwar. "Evaluation of vaccine storage and cold chain management practices during intensified mission Indradhanush in community health centers of Tikamgarh district of Madhya Pradesh." International Journal Of Community Medicine And Public Health 6, no. 2 (January 24, 2019): 823. http://dx.doi.org/10.18203/2394-6040.ijcmph20190215.

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Background: Vaccination is one of the most effective disease prevention strategies and potency of vaccine is dependent on effective management of cold chain at all levels of vaccine handling. An effective cold chain maintenance system is the backbone of success of any immunization program. This study was done to assess the cold chain management and vaccine storage practices in Tikamgarh district of Madhya Pradesh.Methods: Cross-sectional study was carried out using a structured questionnaire.Results: Dedicated room/space for dry storage not available in any of 03 CHCs. Dedicated table for conditioning of icepacks, dedicated clean clothes for wiping of icepacks after conditioning and power back up was available, ILR and DF were connected to separate functional voltage stabilizer and thermometers were placed correctly only in 66.6% CHCs. ILRs and DFs were properly placed, cabinet temperature of ILR and DFs was maintained in normal range in all the three (100%) CHCs. Record of power failure, records of defrosting/cleaning was maintained in temperature log book and cold chain handlers had knowledge of shake test in only 33.3% CHC.Conclusions: Proper vaccine storage and management of cold chain system is essential for immunization. In order to improve quality of immunization services there is a need of space, temperature monitoring and regular defrosting with record keeping and regular training of cold chain handlers to keep their knowledge and skills updated. Monitoring and supervision of cold chain points by DIO should be on regular basis.

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Xiao, Xinqing, Zhiqiang Zhu, Zetian Fu, Weisong Mu, and Xiaoshuan Zhang. "Carbon Footprint Constrained Profit Maximization of Table Grapes Cold Chain." Agronomy 8, no. 7 (July 20, 2018): 125. http://dx.doi.org/10.3390/agronomy8070125.

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Low-carbon production is one of the dominating issues in the sustainable development of the food industry with high energy consumption, especially in the table grapes cold chain. The aim of this paper is to propose a profit maximization strategy of table grapes cold chain by integrating the carbon footprint to improve the low-carbon production and sustainability of the cold chain system. The carbon footprint was evaluated by life cycle assessment (LCA) in entire cold chain system of table grapes, and the economic order quantity (EOQ) model was used to develop the profit maximization model with minimal carbon footprint and to maintain the optimal balance between stock and cost. The profit optimization performance, the sensitivity performance and the influencing factors of the decay rate, the carbon emission price, and the distance and carbon emission coefficient in refrigerated transport were analyzed according to the profit maximization model and the inventory data in actual cold chain investigated. The sensitivity performance analysis illustrated that the selling price had the highest sensitivity, and the carbon emission coefficient in storage had the lowest sensitivity. The comprehensive analysis results indicated that there is an optimal combination point between the economy and environment in actual cold chain, which not only reduced the carbon emission, but also had minimal impact on the profit in cold chain. The enterprises should integrate the carbon footprint cost into the profit maximization once the carbon emission tax is levied. The proposed strategy of the profit maximization with carbon footprint constraint is also suitable for improving profit maximization of other low-carbon supply chain applications.

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Panjun, Sawang, and Punnamee Sachakamol. "Cost structure assessment system of cold chain management through the entire supply chain of Thai mango." International Journal of Innovation and Learning 22, no. 1 (2017): 44. http://dx.doi.org/10.1504/ijil.2017.085247.

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Panjun, Sawang, and Punnamee Sachakamol. "Cost structure assessment system of cold chain management through the entire supply chain of Thai mango." International Journal of Innovation and Learning 22, no. 1 (2017): 44. http://dx.doi.org/10.1504/ijil.2017.10006106.

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