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| dc.contributor.author | Liu, Huaqiong
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| dc.contributor.author | Pretorius, Leon
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| dc.contributor.author | Jiang, Dongdong
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| dc.date.accessioned | 2018-09-04T07:59:33Z | |
| dc.date.available | 2018-09-04T07:59:33Z | |
| dc.date.issued | 2018-12 | |
| dc.description.abstract | By studying the development status of cold chain logistics in China, and the current situation in the three specific industries of electronics commerce, supermarkets, and the food and beverage industry, this paper analyzes and concludes that the terminal logistics distribution capacity of the regional distribution centers in Chinese cities is insufficient. In order to solve this problem—based on the idea of joint distribution—the paper makes a specific study of the terminal problem and establishes a joint distribution node. Different distribution schemes are adopted for individual, medium, and large customers, and we find that the semi-trailer is used to carry out the transportation of jammers by using mathematical modeling and time window constraint analysis, which can effectively integrate cold chain logistics resources, save logistics space and human resources, and improve terminal logistics distribution capacity. | en_ZA |
| dc.description.department | Graduate School of Technology Management (GSTM) | en_ZA |
| dc.description.librarian | am2018 | en_ZA |
| dc.description.sponsorship | Ministry of University of Pretoria, South Africa. | en_ZA |
| dc.description.uri | https://jwcn-eurasipjournals.springeropen.com | en_ZA |
| dc.identifier.citation | Liu, H., Pretorius, L. & Jiang, D. Optimization of cold chain logistics distribution network terminal. J Wireless Com Network (2018) 2018: 158. https://doi.org/10.1186/s13638-018-1168-4. | en_ZA |
| dc.identifier.issn | 1687-1472 (print) | |
| dc.identifier.issn | 1687-1499 (online) | |
| dc.identifier.other | 10.1186/s13638-018-1168-4 | |
| dc.identifier.uri | http://hdl.handle.net/2263/66446 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | SpringerOpen | en_ZA |
| dc.rights | © The Author(s) 2018.This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/). | en_ZA |
| dc.subject | Cold chain status | en_ZA |
| dc.subject | Joint distribution | en_ZA |
| dc.subject | Time window | en_ZA |
| dc.subject | Vehicle routing problem (VRP) | en_ZA |
| dc.subject | Time window constraint | en_ZA |
| dc.subject | Regional distribution centers | en_ZA |
| dc.subject | Logistics distribution | en_ZA |
| dc.subject | Food and beverage industry | en_ZA |
| dc.subject | Different distributions | en_ZA |
| dc.subject | Truck transportation | en_ZA |
| dc.subject | Transportation personnel | en_ZA |
| dc.subject | Electronics industry | en_ZA |
| dc.subject | Beverages | en_ZA |
| dc.subject | Chains | en_ZA |
| dc.title | Optimization of cold chain logistics distribution network terminal | en_ZA |
| dc.type | Article | en_ZA |
