Application of the Logistics Management System Based on Cloud Computing Technology
In order to solve the vehicle routing optimization problem of cold chain logistics distribution, this paper proposes a vehicle routing optimization method of cold chain logistics distribution based on cloud computing technology. This paper analyzes the advantages of processing the real-time routing...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/1143624 |
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| _version_ | 1832563454895980544 |
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| author | Shuai Zhang |
| author_facet | Shuai Zhang |
| author_sort | Shuai Zhang |
| collection | DOAJ |
| description | In order to solve the vehicle routing optimization problem of cold chain logistics distribution, this paper proposes a vehicle routing optimization method of cold chain logistics distribution based on cloud computing technology. This paper analyzes the advantages of processing the real-time routing of distribution vehicles under the cloud computing mode and establishes the application service architecture of vehicle routing optimization in cold chain logistics; under this architecture, multisource real-time traffic information is obtained, the vehicle distribution time and comprehensive cost are analyzed, the vehicle routing optimization model of cold chain logistics distribution is constructed, and the coarse-grained parallel genetic algorithm is used to solve the model in the cloud computing environment. The experimental results show that if W1=0,W2=1, the optimal path is 0-6-7-3-1-4-2-8-5, the total cost is 1620 yuan, the total mileage is 72 km, the vehicle driving time is 2.17 hours, and the calculation time is 10.79 s; let W1=1,W2=0, the optimal path is 0-5-6-7-2-4-3-1-8, the vehicle travel time is 1.84 hours, the total cost is 1736 yuan, the total mileage is 76 km, and the calculation time is 11.56 s. The optimal path is obtained in the effective time range. Conclusion. The real-time route optimization method of refrigerated vehicles in the cloud computing environment is effective. This method has practical significance to realize fine control of cold chain logistics distribution cost and improve distribution service efficiency. |
| format | Article |
| id | doaj-art-c9954b0c329d48a792d5b8445fa41f76 |
| institution | Kabale University |
| issn | 1687-5257 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-c9954b0c329d48a792d5b8445fa41f762025-02-03T01:20:08ZengWileyJournal of Control Science and Engineering1687-52572022-01-01202210.1155/2022/1143624Application of the Logistics Management System Based on Cloud Computing TechnologyShuai Zhang0Panjin Vocational & Technical CollegeIn order to solve the vehicle routing optimization problem of cold chain logistics distribution, this paper proposes a vehicle routing optimization method of cold chain logistics distribution based on cloud computing technology. This paper analyzes the advantages of processing the real-time routing of distribution vehicles under the cloud computing mode and establishes the application service architecture of vehicle routing optimization in cold chain logistics; under this architecture, multisource real-time traffic information is obtained, the vehicle distribution time and comprehensive cost are analyzed, the vehicle routing optimization model of cold chain logistics distribution is constructed, and the coarse-grained parallel genetic algorithm is used to solve the model in the cloud computing environment. The experimental results show that if W1=0,W2=1, the optimal path is 0-6-7-3-1-4-2-8-5, the total cost is 1620 yuan, the total mileage is 72 km, the vehicle driving time is 2.17 hours, and the calculation time is 10.79 s; let W1=1,W2=0, the optimal path is 0-5-6-7-2-4-3-1-8, the vehicle travel time is 1.84 hours, the total cost is 1736 yuan, the total mileage is 76 km, and the calculation time is 11.56 s. The optimal path is obtained in the effective time range. Conclusion. The real-time route optimization method of refrigerated vehicles in the cloud computing environment is effective. This method has practical significance to realize fine control of cold chain logistics distribution cost and improve distribution service efficiency.http://dx.doi.org/10.1155/2022/1143624 |
| spellingShingle | Shuai Zhang Application of the Logistics Management System Based on Cloud Computing Technology Journal of Control Science and Engineering |
| title | Application of the Logistics Management System Based on Cloud Computing Technology |
| title_full | Application of the Logistics Management System Based on Cloud Computing Technology |
| title_fullStr | Application of the Logistics Management System Based on Cloud Computing Technology |
| title_full_unstemmed | Application of the Logistics Management System Based on Cloud Computing Technology |
| title_short | Application of the Logistics Management System Based on Cloud Computing Technology |
| title_sort | application of the logistics management system based on cloud computing technology |
| url | http://dx.doi.org/10.1155/2022/1143624 |
| work_keys_str_mv | AT shuaizhang applicationofthelogisticsmanagementsystembasedoncloudcomputingtechnology |