Article on Cold Chain Logistics of Agricultural Products in Shandong, China
Abstract
A major issue facing the cold logistics sector is customer attrition as a result of a great deal of food items spoiling in warehouses owing to low temperatures. It will be discussed how this corporation will weather the many accusations and problems it has experienced. A summary of the research about food security and transportation firms will be covered, along with certain structural issues and personnel issues. There will be a discussion of the company's breadth, including eating and vegetable preservation and food space. Over the Yellow Sea from the Korean island lies the Chinese province of Shandong, also called Shan-Tung. The population of Shandong is ranked as the second largest province in China, with Henan having the highest population. China's eastern coast is home to Shandong, a major agricultural centre. This province is essential to China's food production because of its extensive agricultural landscapes. Agriculture is not only a traditional occupation in Shandong; it is also a key economic pillar. The reason for such transportation’s importance is that the territory’s crop provides jobs for a large number of its citizens, supports regional industries, and contributes significantly to the GDP. As noted, Shandong is doing well in the sector, but rather it faces challenges making sure the crop's produce is safe and of high quality, especially when it comes to distant territories. That is the point where cold chain logistics becomes of crucial importance. Such logistics keep perishable foods safe and fresh from the farm to one's table. It is a system of transporting and storing perishable foods that require protection by maintaining a set temperature using temperature-controlled transportation and storage. Hence, the present research is aimed at providing a brief overview and analysis of logistics for the cold chain regarding Shandong's agriculture sector. Specifically, the study evaluates the current state of the transportation in question, locates possible areas to use better, and provides recommendations for possible fixes. The research methodology, the study findings, and the recommendations are revealed below. Cold chain logistics is the process of moving and storing specified temperature-sensitive commodities. It refers to perishable foods, chemicals, pharmaceuticals, and vaccines, for example. This keeps the product's effectiveness, safety, and quality intact throughout the supply chain. The cold chain is essential for an organization in which temperature control is necessary to avoid spoilage, degradation, and loss of product efficacy. Temperature is the key parameter in cold chain logistics. Common temperatures are maintained for temperature-sensitive goods using refrigeration at 2°C – 8°C or freezing -20°C or below. The critical temperatures are maintained during storage and transit using sophisticated thermal control and monitoring systems.
References
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Ma, L. (2021, April). Research on location selection of agricultural products logistics distribution center based on two-stage combination optimization algorithm. In Journal of Physics: Conference Series (Vol. 1881, No. 4, p. 042085). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1881/4/042085/meta
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Ruan, M. (2020). Quality management of the food cold chain system based on big data analysis. International Journal of Performability Engineering, 16(5), 757. https://www.ijpe-online.com/EN/10.23940/ijpe.20.05.p9.757765
Shou, W., Wang, Y., Yao, Y., Chen, L., Lin, B., Lin, Z., & Guoa, L. (2023). A two-dimensional disposable full-history time-temperature indicator for cold chain logistics. Analytica Chimica Acta, 1237, 340618. https://www.sciencedirect.com/science/article/pii/ S0003267022011898
Siyuan, L. I. U., Tian'en, C. H. E. N., Dong, C. H. E. N., Chi, Z. H. A. N. G., & Cong, W. A. N. G. (2021). Time-varying heterotypic-vehicle cold chain logistics distribution path optimization model. Smart agriculture, 3(3), 139. http://www.smartag.net.cn/ EN/abstract/abstract19921.shtml
Wang, D., Yuan, Q., & Xiang, F. (2020, April). Analysis of current situation of joint distribution in cold chain logistics. In 2020 International Conference on Urban Engineering and Management Science (ICUEMS) (pp. 216-220). IEEE. https://ieeexplore.ieee.org/ abstract/document/9151719/
Wang, H., Ran, H., & Dang, X. (2022). Location optimization of fresh agricultural products cold chain distribution center under carbon emission constraints. Sustainability, 14(11), 6726. https://www.mdpi.com/2071-1050/14/11/6726
Wang, M., Wang, Y., Liu, W., Ma, Y., Xiang, L., Yang, Y., & Li, X. (2021). How to achieve a win–win scenario between cost and customer satisfaction for cold chain logistics?. Physica A: Statistical Mechanics and its Applications, 566, 125637. https://www.sciencedirect.com/science/article/pii/S0378437120309353
Wang, Q., Zhao, Z., & Wang, Z. (2023). Data-Driven Analysis of Risk-Assessment Methods for Cold Food Chains. Foods, 12(8), 1677. https://www.mdpi.com/2304-8158/12/8/1677
Wang, S. (2022). The Development Trend of China’s Agricultural Product Cold Chain Logistics from the Perspective of Big Data. Advances in Multimedia, 2022. https://www.hindawi. com/journals/am/2022/2253448/
Wen, S., Li, J., Wang, R., & Liu, H. (2021). Analysis and modeling for cold chain logistics of agricultural products demand forecasting. https://www.preprints.org/manuscript/ 202101.0375
Wu, J., Zhang, J., Yi, W., Cai, H., Li, Y., & Su, Z. (2022). Agri-biomass supply chain optimization in north China: Model development and application. Energy, 239, 122374. https://www.sciencedirect.com/science/article/pii/S0360544221026232
Xie, R., Huang, H., Zhang, Y., & Yu, P. (2022). Coupling relationship between cold chain logistics and economic development: A investigation from China. PloS one, 17(2), e0264561. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264561
Yang, H., Li, N., Huang, Y., Mou, S., Wu, F., & Li, X. (2021, October). Traceability Analysis of Cold Chain Food under COVID-19 Based on Block Chain Technology. In 5th International Conference on Crowd Science and Engineering (pp. 61-67). https://dl.acm.org/doi/abs/10.1145/3503181.3503192
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Yu, H., Dai, Y., & Zhao, L. (2021, June). Evaluation and Study on influencing factors of agricultural products logistics efficiency based on DEA-Tobit model--from panel data from 2010 to 2019. In Journal of Physics: Conference Series (Vol. 1941, No. 1, p. 012070). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1941/ 1/012070/meta
Yu, Z., Liu, Y., Wang, Q., Sun, L., & Sun, S. (2021). Research on food safety and security of cold chain logistics. In IOP Conference Series: Earth and Environmental Science (Vol. 647, No. 1, p. 012176). IOP Publishing. https://iopscience.iop.org/article/10.1088/1755-1315/647/1/012176/meta
Zhang, C., Yang, Y., Feng, Z., Xiao, C., Liu, Y., Song, X., & Lang, T. (2022). Cold chain food and COVID-19 transmission risk: from the perspective of consumption and trade. Foods, 11(7), 908. https://www.mdpi.com/2304-8158/11/7/908
Zhang, Y., Fan, X., Ma, Y., & Sun, Y. (2022). Spatial impacts of cold chain logistics for fresh agri-products on carbon emissions. Transportation Research Part D: Transport and Environment, 113, 103525. https://www.sciencedirect.com/science/article/pii/S13619 20922003510
Zhang, Y., Liu, Y., Jiong, Z., Zhang, X., Li, B., & Chen, E. (2021). Development and assessment of blockchain‐IoT‐based traceability system for frozen aquatic product. Journal of Food Process Engineering, 44(5), e13669. https://onlinelibrary.wiley.com/doi/abs/10.1111/ jfpe.13669
Zhu, H., Liu, C., Wu, G., & Gao, Y. (2023). Cold Chain Logistics Network Design for Fresh Agricultural Products with Government Subsidy. Sustainability, 15(13), 10021. https://www.mdpi.com/2071-1050/15/13/10021
Zhu, Z., Ma, R., Draganic, A., Orovic, I., Zhang, X., Wang, X., & Wang, J. (2022). Postharvest quality monitoring and cold chain management of fresh garlic scapes based on a wireless multi‐sensors system. Journal of Food Process Engineering, 45(1), e13918. https://onlinelibrary.wiley.com/doi/abs/10.1111/jfpe.13918
Zhuangzhuang, L. (2020, October). Study on the construction of traceability system of cold-chain agricultural products based on block-chain: A case study of Ningxia Cabbage. In 2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE) (pp. 270-274). IEEE. https://ieeexplore.ieee.org/abstract/document/ 9403818/.
Deng, X., Han, Z., Xie, W., Wang, G., & Fan, Z. (2024). Risk evaluation of the grain supply chain in China. International Journal of Logistics Research and Applications, 27(1), 83-102. https://www.tandfonline.com/doi/abs/10.1080/13675567.2021.2009450
Dong, Y., Xu, M., & Miller, S. A. (2021). Overview of cold chain development in China and methods of studying its environmental impacts. Environmental Research Communications, 2(12), 122002. https://iopscience.iop.org/article/10.1088/2515-7620/abd622/meta
Dou, S., Liu, G., & Yang, Y. (2020). A new hybrid algorithm for cold chain logistics distribution center location problem. IEEE Access, 8, 88769-88776. https://ieeexplore.ieee.org/ abstract/document/9079803/
Fan, Y., & Li, H. (2021, July). Research on Cold Chain Logistics Operation Mode Under Internet Technology. In Journal of Physics: Conference Series (Vol. 1972, No. 1, p. 012039). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1972/1/012039/ meta
Gao, E., Cui, Q., Jing, H., Zhang, Z., & Zhang, X. (2021). A review of application status and replacement progress of refrigerants in the Chinese cold chain industry. International Journal of Refrigeration, 128, 104-117. https://www.sciencedirect.com/science/article /pii/S0140700721001249
Han, S., & Liu, X. (2022). Can imported cold food cause COVID-19 recurrent outbreaks? A review. Environmental Chemistry Letters, 20(1), 119-129. https://link.springer.com/ article/10.1007/s10311-021-01312-w
Hou, R., Li, G., & Chen, P. (2023). Development strategy analysis of cold chain logistics of fresh agricultural products under the background of low-carbon economy. In SHS Web of Conferences (Vol. 154, p. 03002). EDP Sciences. https://www.shs-conferences.org/ articles/shsconf/abs/2023/03/shsconf_pesd2023_03002/shsconf_pesd2023_03002.html
Jia, X. (2022). Research on the Optimization of Cold Chain Logistics Distribution Path of Agricultural Products E-Commerce in Urban Ecosystem from the Perspective of Carbon Neutrality. Frontiers in Ecology and Evolution, 10, 966111. https://www.frontiersin. org/articles/10.3389/fevo.2022.966111/full
Li, G., Wang, G., Ma, Y., Yue, L., & Zhao, W. (2020, June). Research on cold chain transport of vaccines in major outbreaks. In IOP Conference Series: Earth and Environmental Science (Vol. 526, No. 1, p. 012189). IOP Publishing. https://iopscience.iop.org/ article/10.1088/1755-1315/526/1/012189/meta
Li, J., Xu, H., Liu, W., Wang, D., & Zhou, S. (2020). Spatial pattern evolution and influencing factors of cold storage in China. Chinese Geographical Science, 30, 505-515. https://link.springer.com/article/10.1007/s11769-020-1124-1
Li, N., & Yao, W. (2021). Research on application of cold chain logistics management based on big data technology. In E3S Web of Conferences (Vol. 253, p. 02056). EDP Sciences. https://www.e3s-conferences.org/articles/e3sconf/abs/2021/29/e3sconf_eem2021_020 56/e3sconf_eem2021_02056.html
Li, S., & Ye, J. (2021, December). Analysis of the market demand of cold chain logistics based on big data research. In 2021 2nd International Conference on Big Data Economy and Information Management (BDEIM) (pp. 125-131). IEEE. https://ieeexplore.ieee.org/ abstract/document/9709088/
Li, X., Liu, Y., & Wang, H. (2022). The Impact of Sustainable Development of Cold Chain Logistics on China’s COVID-19 Pandemic. Sustainability, 14(16), 10358. https://www.mdpi.com/2071-1050/14/16/10358
Li, Z., Fu, Y., & Li, M. (2021, March). Study on Location Selection of Low-Carbon Fresh Fruit Distribution Center Considering Customer Satisfaction-Route Optimization. In IOP Conference Series: Earth and Environmental Science (Vol. 687, No. 1, p. 012179). IOP Publishing. https://iopscience.iop.org/article/10.1088/1755-1315/687/1/012179/meta
Lin, Q., Zhao, Q., & Lev, B. (2020). Cold chain transportation decision in the vaccine supply chain. European Journal of Operational Research, 283(1), 182-195. https://www.sciencedirect.com/science/article/pii/S0377221719309075
Lu, S., Cheng, G., Li, T., Xue, L., Liu, X., Huang, J., & Liu, G. (2022). Quantifying supply chain food loss in China with primary data: A large-scale, field-survey based analysis for staple food, vegetables, and fruits. Resources, Conservation and Recycling, 177, 106006. https://www.sciencedirect.com/science/article/pii/S0921344921006157
Ma, L. (2021, April). Research on location selection of agricultural products logistics distribution center based on two-stage combination optimization algorithm. In Journal of Physics: Conference Series (Vol. 1881, No. 4, p. 042085). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1881/4/042085/meta
Ma, R., Wang, X., & Zhou, P. (2020, November). Research on Optimization of Fresh Cold Chain Logistics Distribution Path Considering Road Impedance. In 2020 International Signal Processing, Communications and Engineering Management Conference (ISPCEM) (pp. 185-192). IEEE. https://ieeexplore.ieee.org/abstract/document/ 9480974/
Pan, H., & Sun, J. (2021, July). Research on Cold Chain Logistics Supply Chain Management Technology Based on Information Platform Construction. In 2021 International Conference on Big Data and Intelligent Decision Making (BDIDM) (pp. 1-4). IEEE. https://ieeexplore.ieee.org/abstract/document/9559641/
Qian, J., Yu, Q., Jiang, L., Yang, H., & Wu, W. (2022). Food cold chain management improvement: A conjoint analysis on COVID-19 and food cold chain systems. Food Control, 137, 108940. https://www.sciencedirect.com/science/article/pii/S095671352 2001335
Ruan, M. (2020). Quality management of the food cold chain system based on big data analysis. International Journal of Performability Engineering, 16(5), 757. https://www.ijpe-online.com/EN/10.23940/ijpe.20.05.p9.757765
Shou, W., Wang, Y., Yao, Y., Chen, L., Lin, B., Lin, Z., & Guoa, L. (2023). A two-dimensional disposable full-history time-temperature indicator for cold chain logistics. Analytica Chimica Acta, 1237, 340618. https://www.sciencedirect.com/science/article/pii/ S0003267022011898
Siyuan, L. I. U., Tian'en, C. H. E. N., Dong, C. H. E. N., Chi, Z. H. A. N. G., & Cong, W. A. N. G. (2021). Time-varying heterotypic-vehicle cold chain logistics distribution path optimization model. Smart agriculture, 3(3), 139. http://www.smartag.net.cn/ EN/abstract/abstract19921.shtml
Wang, D., Yuan, Q., & Xiang, F. (2020, April). Analysis of current situation of joint distribution in cold chain logistics. In 2020 International Conference on Urban Engineering and Management Science (ICUEMS) (pp. 216-220). IEEE. https://ieeexplore.ieee.org/ abstract/document/9151719/
Wang, H., Ran, H., & Dang, X. (2022). Location optimization of fresh agricultural products cold chain distribution center under carbon emission constraints. Sustainability, 14(11), 6726. https://www.mdpi.com/2071-1050/14/11/6726
Wang, M., Wang, Y., Liu, W., Ma, Y., Xiang, L., Yang, Y., & Li, X. (2021). How to achieve a win–win scenario between cost and customer satisfaction for cold chain logistics?. Physica A: Statistical Mechanics and its Applications, 566, 125637. https://www.sciencedirect.com/science/article/pii/S0378437120309353
Wang, Q., Zhao, Z., & Wang, Z. (2023). Data-Driven Analysis of Risk-Assessment Methods for Cold Food Chains. Foods, 12(8), 1677. https://www.mdpi.com/2304-8158/12/8/1677
Wang, S. (2022). The Development Trend of China’s Agricultural Product Cold Chain Logistics from the Perspective of Big Data. Advances in Multimedia, 2022. https://www.hindawi. com/journals/am/2022/2253448/
Wen, S., Li, J., Wang, R., & Liu, H. (2021). Analysis and modeling for cold chain logistics of agricultural products demand forecasting. https://www.preprints.org/manuscript/ 202101.0375
Wu, J., Zhang, J., Yi, W., Cai, H., Li, Y., & Su, Z. (2022). Agri-biomass supply chain optimization in north China: Model development and application. Energy, 239, 122374. https://www.sciencedirect.com/science/article/pii/S0360544221026232
Xie, R., Huang, H., Zhang, Y., & Yu, P. (2022). Coupling relationship between cold chain logistics and economic development: A investigation from China. PloS one, 17(2), e0264561. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264561
Yang, H., Li, N., Huang, Y., Mou, S., Wu, F., & Li, X. (2021, October). Traceability Analysis of Cold Chain Food under COVID-19 Based on Block Chain Technology. In 5th International Conference on Crowd Science and Engineering (pp. 61-67). https://dl.acm.org/doi/abs/10.1145/3503181.3503192
Yin, S., Bai, L., & Zhang, R. (2021). A supply chain-oriented perspective to prevent future COVID-19: Mathematical model and experience of guaranteeing quality and safety of fresh agricultural products. https://www.researchsquare.com/article/rs-410784/latest
Yu, H., Dai, Y., & Zhao, L. (2021, June). Evaluation and Study on influencing factors of agricultural products logistics efficiency based on DEA-Tobit model--from panel data from 2010 to 2019. In Journal of Physics: Conference Series (Vol. 1941, No. 1, p. 012070). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1941/ 1/012070/meta
Yu, Z., Liu, Y., Wang, Q., Sun, L., & Sun, S. (2021). Research on food safety and security of cold chain logistics. In IOP Conference Series: Earth and Environmental Science (Vol. 647, No. 1, p. 012176). IOP Publishing. https://iopscience.iop.org/article/10.1088/1755-1315/647/1/012176/meta
Zhang, C., Yang, Y., Feng, Z., Xiao, C., Liu, Y., Song, X., & Lang, T. (2022). Cold chain food and COVID-19 transmission risk: from the perspective of consumption and trade. Foods, 11(7), 908. https://www.mdpi.com/2304-8158/11/7/908
Zhang, Y., Fan, X., Ma, Y., & Sun, Y. (2022). Spatial impacts of cold chain logistics for fresh agri-products on carbon emissions. Transportation Research Part D: Transport and Environment, 113, 103525. https://www.sciencedirect.com/science/article/pii/S13619 20922003510
Zhang, Y., Liu, Y., Jiong, Z., Zhang, X., Li, B., & Chen, E. (2021). Development and assessment of blockchain‐IoT‐based traceability system for frozen aquatic product. Journal of Food Process Engineering, 44(5), e13669. https://onlinelibrary.wiley.com/doi/abs/10.1111/ jfpe.13669
Zhu, H., Liu, C., Wu, G., & Gao, Y. (2023). Cold Chain Logistics Network Design for Fresh Agricultural Products with Government Subsidy. Sustainability, 15(13), 10021. https://www.mdpi.com/2071-1050/15/13/10021
Zhu, Z., Ma, R., Draganic, A., Orovic, I., Zhang, X., Wang, X., & Wang, J. (2022). Postharvest quality monitoring and cold chain management of fresh garlic scapes based on a wireless multi‐sensors system. Journal of Food Process Engineering, 45(1), e13918. https://onlinelibrary.wiley.com/doi/abs/10.1111/jfpe.13918
Zhuangzhuang, L. (2020, October). Study on the construction of traceability system of cold-chain agricultural products based on block-chain: A case study of Ningxia Cabbage. In 2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE) (pp. 270-274). IEEE. https://ieeexplore.ieee.org/abstract/document/ 9403818/.
Published
2024-07-31
How to Cite
HUAIZHI, Yu; ABDULLAH, Abdul Rashid.
Article on Cold Chain Logistics of Agricultural Products in Shandong, China.
International Journal of Business and Technology Management, [S.l.], v. 6, n. 2, p. 378-395, july 2024.
ISSN 2682-7646.
Available at: <https://myjms.mohe.gov.my/index.php/ijbtm/article/view/27282>. Date accessed: 19 sep. 2024.
Section
English Section
