Development of Cold Chain Logistics for China's Fresh E-commerce in Post-Epidemic Era
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The sudden outbreak of the COVID-19 epidemic has brought a rare development opportunity for the fresh e-commerce industry, it has also put forward higher development requirements for cold chain logistics for fresh e-commerce. Based on the relevant theories of supply chain management, this paper puts forward research issues that need to be improved in the development of cold chain logistics for fresh e-commerce. This paper refers to the research literature on cold chain logistics for fresh e-commerce, the research results at this stage have been sorted out. It starts from the development status of cold chain logistics for fresh e-commerce, we have conducted an in-depth discussion on its existing problems and drawn a series of conclusions. Enterprises should pay attention to the application of emerging technologies to create smart logistics, implement lean management of the supply chain, and promote overall regional development. They should take advantage of the policy to implement industry standardization as soon as possible. The research conclusion is of practical significance to the research on the current situation of cold chain logistics for fresh e-commerce. It provides relevant theoretical and practical support basis for promoting the development of cold chain logistics for fresh e-commerce.
Setyawan IR. (2011) An Empirical Study on Market Timing Theory of Capital Structure. Int Res J Bus Stud, 4(02): 103-119. DOI: 10.21632/irjbs.4.2.103-119
Leary MT. Roberts MR. (2014) Do peer firms affect corporate financial policy. J Financ, 3 (69): 139-178. DOI: 10.1111/jofi.12094
Fu Q, Sun Y, Wang L. (2022) Risk Assessment of Import Cold Chain Logistics Based on Entropy Weight Matter Element Extension Model: A Case Study of Shanghai, China. International Journal of Environmental Research and Public Health, 19(24):16892. https://doi.org/10.3390/ijerph192416892
Golestani, M. Moosavirad, S.H. Asadi, Y. Biglari, S. (2021) A Multi-Objective Green Hub Location Problem with Multi Item-Multi Temperature Joint Distribution for Perishable Products in Cold Supply Chain. Sustain. Prod. Consum, 27(02): 1183–1194. https://doi.org/10.1016/j.spc.2021.02.026
Singh, A.K., Subramanian, N., Pawar, K.S. et al. (2018) Cold chain configuration design: location-allocation decision-making using coordination, value deterioration, and big data approximation. Ann Oper Res, 270(06): 433–457.
https://doi.org/10.1007/s10479-016-2332-z
Qi, C. Hu, L. (2020) Optimization of vehicle routing problem for emergency cold chain logistics based on minimum loss. Phys. Commun, 40(05): 101085. https://doi.org/10.1016/j.phycom.2020.101085
Babagolzadeh, M. Shrestha, A. Abbasi, B. Zhang, Y. Woodhead, A. Zhang, A. (2020) Sustainable cold supply chain management under demand uncertainty and carbon tax regulation. Transp. Res. Part D Transp. Environ, 80(10): 102245.
https://doi.org/10.1016/j.trd.2020.102245
Liu, G. Hu, J. Yang, Y. Xia, S. Lim, M.K. (2020) Vehicle routing problem in cold Chain logistics: A joint distribution model with carbon trading mechanisms. Resour. Conserv. Recycl; 156(10): 104715. https://doi.org/10.1016/j.resconrec.2020.104715
Liu, Y. Fan, Z. Qi, H. (2020) Dynamic statistical evaluation of safety emergency management in coal enterprises based on neural network algorithms. J. Intell. Fuzzy Syst, 39(04): 5521–5534. DOI: 10.3233/JIFS-189034
Chen, Y.H. (2020) Intelligent algorithms for cold chain logistics distribution optimization based on big data cloud computing analysis. J. Cloud Comput, 9(08): 37. https://doi.org/10.1186/s13677-020-00174-x
Giroud X. (2017) Mueller HM. Firm Leverage, Consumer Demand, and Employment Losses During the Great Recession. Quarterly J Econ, 132(05): 271-316. DOI: 10.1093/qje/qjw035
Wen Z, Liao H, Ren R, Bai C, Zavadskas EK, Antucheviciene J, Al-Barakati A. (2019) Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method. International Journal of Environmental Research and Public Health, 16(23):4843. https://doi.org/10.3390/ijerph16234843
Mehralian, G. Gatari, A.R. Morakabati, M. Vatanpour, H. (2012) Developing a suitable model for supplier selection based on supply chain risks: an empirical study from Iranian pharmaceutical companies. Iran. J. Pharm. Res, 11(02): 209–219.
https://doi.org/10.1002/ddr.21001
Li, K. Zheng, J. Wu, D. (2016) A new discrete particle swarm optimization for location inventory routing problem in cold logistics. Rev. Fac. Ing, 31(02): 89–99.
Guo, H.X. Ming, S. (2012) Process reengineering of cold chain logistics of agricultural products based on low-carbon economy. Asian Agric. Res, 5(01): 59–62.
McGowan MA. Andrews D. Millot V. (2017) The walking dead?: Zombie firms and productivity performance in OECD countries. DOI: 10.1787/180d80ad-en
Wang S, Tao F, Shi Y, Wen H. (2017) Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax. Sustainability, 9(05):694. https://doi.org/10.3390/su9050694
Tang, R. Peng, Y. (2017) Dual Channel Coordination of Fresh Food Supply Chain Considering Time and Temperature Factors. Chin. J. Manag. Sci., 25(08): 62–71.
Ma, X. Wang, S. Islam, S.M. Liu, X. (2019) Coordinating a three-echelon fresh agricultural products supply chain considering freshness-keeping effort with asymmetric information. Appl. Math. Model., 67(10): 337–356.
https://doi.org/10.1016/j.apm.2018.10.028
Damodaran A. Margolis D. (2014) Applied Corporate Finance, 4th ed. John Wiley & Sons: New York, USA.