Design and Analysis of the Task Distribution Scheme of Express Center at the End of Modern Logistics
With the rise and improvement of artificial intelligence technology, the express delivery industry has become more intelligent. At the terminal of modern logistics, each dispatch center has hundreds of express mail deliveries to be dispatched every day, and the number of dispatchers is far less than...
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doaj-ca04862f8fdb444ca43c295e11b126cd2020-11-25T00:04:25ZengMDPI AGElectronics2079-92922019-10-01810114110.3390/electronics8101141electronics8101141Design and Analysis of the Task Distribution Scheme of Express Center at the End of Modern LogisticsChunxue Wu0Junjie Wu1Yan Wu2Qunhui Wu3Xiao Lin4Neal N. Xiong5School of Optical-Electrical & Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaSchool of Optical-Electrical & Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaO’Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN 47405, USAShanghai Hao long environmental technology Co., Ltd., Shanghai 201610, ChinaDepartment of Computer Science, Shanghai Normal University, Shanghai 200234, ChinaDepartment of Mathematics and Computer Science, Northeastern State University, IN 200093, USAWith the rise and improvement of artificial intelligence technology, the express delivery industry has become more intelligent. At the terminal of modern logistics, each dispatch center has hundreds of express mail deliveries to be dispatched every day, and the number of dispatchers is far less than the number of express mail deliveries. How to assign scientific tasks to each courier dispatch is the main target of this paper. The purpose is to make the number of tasks between the various couriers in the express center roughly the same in each cycle, so that there is a more balanced income between the couriers. In the simulation experiment, the delivery addresses are clustered according to the balanced k-means algorithm. Then, the ant colony algorithm is used to plan the delivery order of the express items in each class. Then, the time cost model is established according to the delivery distance of the express items in each class and the delivery mode of the express items to calculate the delivery time cost. Through a large amount of experimental data, the standard deviation of delivery time cost of each courier gradually decreases and tends to stabilize, which suggests that this method has a good effect on the dispatching task assignment of the express center. It can effectively make the delivery workload between the distributors roughly the same, and improve the delivery efficiency of the courier, save energy, and promote sustainable development.https://www.mdpi.com/2079-9292/8/10/1141express delivery centertask assignmentdispatchtime cost |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chunxue Wu Junjie Wu Yan Wu Qunhui Wu Xiao Lin Neal N. Xiong |
spellingShingle |
Chunxue Wu Junjie Wu Yan Wu Qunhui Wu Xiao Lin Neal N. Xiong Design and Analysis of the Task Distribution Scheme of Express Center at the End of Modern Logistics Electronics express delivery center task assignment dispatch time cost |
author_facet |
Chunxue Wu Junjie Wu Yan Wu Qunhui Wu Xiao Lin Neal N. Xiong |
author_sort |
Chunxue Wu |
title |
Design and Analysis of the Task Distribution Scheme of Express Center at the End of Modern Logistics |
title_short |
Design and Analysis of the Task Distribution Scheme of Express Center at the End of Modern Logistics |
title_full |
Design and Analysis of the Task Distribution Scheme of Express Center at the End of Modern Logistics |
title_fullStr |
Design and Analysis of the Task Distribution Scheme of Express Center at the End of Modern Logistics |
title_full_unstemmed |
Design and Analysis of the Task Distribution Scheme of Express Center at the End of Modern Logistics |
title_sort |
design and analysis of the task distribution scheme of express center at the end of modern logistics |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2019-10-01 |
description |
With the rise and improvement of artificial intelligence technology, the express delivery industry has become more intelligent. At the terminal of modern logistics, each dispatch center has hundreds of express mail deliveries to be dispatched every day, and the number of dispatchers is far less than the number of express mail deliveries. How to assign scientific tasks to each courier dispatch is the main target of this paper. The purpose is to make the number of tasks between the various couriers in the express center roughly the same in each cycle, so that there is a more balanced income between the couriers. In the simulation experiment, the delivery addresses are clustered according to the balanced k-means algorithm. Then, the ant colony algorithm is used to plan the delivery order of the express items in each class. Then, the time cost model is established according to the delivery distance of the express items in each class and the delivery mode of the express items to calculate the delivery time cost. Through a large amount of experimental data, the standard deviation of delivery time cost of each courier gradually decreases and tends to stabilize, which suggests that this method has a good effect on the dispatching task assignment of the express center. It can effectively make the delivery workload between the distributors roughly the same, and improve the delivery efficiency of the courier, save energy, and promote sustainable development. |
topic |
express delivery center task assignment dispatch time cost |
url |
https://www.mdpi.com/2079-9292/8/10/1141 |
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