With the level of science and technology, the logistics industry is paying more and more attention to sustainable development. However, the current cold chain logistics industry generally has problems such as backward refrigeration technology, irrational distribution management, and outdated equipment, which make its energy consumption serious and cause severe carbon emission effects on the environment. Optimizing the carbon emission structure of the cold chain logistics industry is the top priority for ensuring the sustainable development of the logistics industry. The circulation of fresh products is mainly through cold chain logistics. However, there are some problems of excessively high cost of the cold chain and easy disconnection during the cold transportation process in Chinese cold chain logistics, which severely restricts the development of Chinese cold chain logistics. Because of the perishability and strong timeliness of distribution of fresh products, inventory costs, penalties, and damage costs need to be considered. Because fresh products should utilize refrigerated transportation, it is also necessary to consider refrigerated costs during transportation and cold storage cost in distribution centers. Based on the goal of the lowest total cost, this paper constructs an integer programming model and analyzes cases. By comparing the simulation results of the genetic algorithm and the hybrid algorithm, it is concluded that the hybrid algorithm is more effective.
Citation: Zheng Liu, Hangxin Guo, Yuanjun Zhao, Bin Hu, Lihua Shi, Lingling Lang, Bangtong Huang. Research on the optimized route of cold chain logistics transportation of fresh products in context of energy-saving and emission reduction[J]. Mathematical Biosciences and Engineering, 2021, 18(2): 1926-1940. doi: 10.3934/mbe.2021100
With the level of science and technology, the logistics industry is paying more and more attention to sustainable development. However, the current cold chain logistics industry generally has problems such as backward refrigeration technology, irrational distribution management, and outdated equipment, which make its energy consumption serious and cause severe carbon emission effects on the environment. Optimizing the carbon emission structure of the cold chain logistics industry is the top priority for ensuring the sustainable development of the logistics industry. The circulation of fresh products is mainly through cold chain logistics. However, there are some problems of excessively high cost of the cold chain and easy disconnection during the cold transportation process in Chinese cold chain logistics, which severely restricts the development of Chinese cold chain logistics. Because of the perishability and strong timeliness of distribution of fresh products, inventory costs, penalties, and damage costs need to be considered. Because fresh products should utilize refrigerated transportation, it is also necessary to consider refrigerated costs during transportation and cold storage cost in distribution centers. Based on the goal of the lowest total cost, this paper constructs an integer programming model and analyzes cases. By comparing the simulation results of the genetic algorithm and the hybrid algorithm, it is concluded that the hybrid algorithm is more effective.
| [1] | Z. Liu, L. Lang, B. Hu, L. Shi, B. Huang, Y. Zhao, Emission reduction decision of agricultural supply chain considering carbon tax and investment cooperation, J. Cleaner Prod., 294 (2021). |
| [2] |
Y. Zhang, X. D. Chen, An optimization model for the vehicle routing problem in multi-product frozen food delivery, J. Appl. Res. Technol., 12 (2014), 239-250. doi: 10.1016/S1665-6423(14)72340-5
|
| [3] |
A. K. Beheshti, S. R. Hejazi, M. Alinaghian, The vehicle routing problem with multiple prioritized time windows: a case study, Comput. Ind. Eng., 90 (2015), 402-413. doi: 10.1016/j.cie.2015.10.005
|
| [4] |
C. Koc, T. Bektas, O. Jabali, G. Laporte, A hybrid evolutionary algorithm for heterogeneous fleet vehicle routing problems with time windows, Comput. Oper. Res., 64 (2015), 11-27. doi: 10.1016/j.cor.2015.05.004
|
| [5] |
R. K. Singh, A. Gunasekaran, P. Kumar, Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach, Ann. Oper. Res., 267 (2018), 531-553. doi: 10.1007/s10479-017-2591-3
|
| [6] |
S. Mejjaouli, R. F. Babiceanu, Cold supply chain logistics: system optimization for real-time rerouting transportation solutions, Comput. Ind., 98 (2018), 68-80. doi: 10.1016/j.compind.2018.02.001
|
| [7] | X. Ma, T. Liu, P. Yang, R. Jiang, Vehicle routing optimization model of cold chain logistics based on stochastic demand, J. Syst. Simul., 28 (2016), 1824-1832. |
| [8] | J. Lu, S. Zhang, Route optimization of partitioned distribution of cold chain logistics based on spatiotemporal similarity measure, J. Shanghai Mari. Univ., 39 (2018), 32-37. |
| [9] | C. Bao, S. Zhang, Route optimization of cold chain logistics in joint distribution: with consideration of carbon emission, Ind. Eng. Manage., 23 (2018), 95-107. |
| [10] | S. Fan, D. Lou, Y. Sun, Optimization study on vehicle distribution routing of cold-chain logistics for fresh agricultural products, Stor. Proc., 17 (2017), 106-111. |
| [11] | Y. Li, M. K. Lim, M. L. Tseng, A green vehicle routing model based on modified particle swarm optimization for cold chain logistics, Ind. Manage. Data Syst., 119 (2019) 473-494. |
| [12] | W. Zhang, K. Liang, Optimization of cold-chain network nodes and delivery for fresh agricultural products, Syst. Eng., 35 (2017), 119-123. |
| [13] | S. Bekir, S. Ahmet, Multi-Layer, Multi-segment iterative optimization for maritime supply chain operations in a dynamic fuzzy environment, IEEE Access, 8 (2020), 144993-145005. |
| [14] | Y. Zhou, Y. Ji, H. Yang, K. Yu, Optimization of vehicle routing problem with simultaneous delivery and pickup for cold-chain logistics, Math. Pract. Theory, 46 (2016), 18-26. |
| [15] | R. Zhang, Q. Liu, CO2 Emission minimizing for the time-dependent VRP in urban area, Ind. Eng. Manage., 20 (2015), 29-34. |
| [16] | Z. Wang, J. Lu, Optimizing the distribution path of low-carbon cold chain logistics vehicles, Sci. Tech. Manage. Res., 17 (2017), 228-232. |
| [17] | X. Ge, H. Zhang, Study on the optimization of vehicle routing problem in urban real time traffic network, Ind. Eng. Manage., 23 (2018), 140-156. |
| [18] | Z. Zeng, C. Zou, J. Wei, H. Lu, E. Lv, Q. Ruan, Optimization of distribution cost model of cold chain logistics for litchi based on ant colony algorithm, Packag. Eng., 40 (2019), 58-65. |
| [19] | C. Liang, Q. Zou, Research on vehicle routing problem with temperature variable in cold chain logistics, J. Guangxi. Univ., 42 (2017), 1802-1809. |
| [20] | S. Cao, Y. Chen, C. Chen, C. Hua, Ocean catches cold chain distribution based on multi-objective optimization, J. Beijing Jiaotong Univ., 41 (2017), 34-38. |
| [21] | Z. Huang, Research on optimization of urban cold chain logistics distribution path based on genetic algorithm, Manage. Adm., 8 (2018), 97-101. |
| [22] | J. Shao, Q. Cao, M. Chen, Y. Sun, Research on multi-objective optimization for fresh agricultural products VRP problem, Ind. Eng. Manage., 20 (2015), 122-134. |
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Zheng Liu, Hangxin Guo, Yuanjun Zhao, Bin Hu, Lihua Shi, Lingling Lang, Bangtong Huang. Research on the optimized route of cold chain logistics transportation of fresh products in context of energy-saving and emission reduction[J]. Mathematical Biosciences and Engineering, 2021, 18(2): 1926-1940. doi: 10.3934/mbe.2021100
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