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Multi-target city two-stage distribution planning method based on mobile transfer station and crowdsourcing

A transfer station, multi-objective technology, applied in data processing applications, forecasting, instruments, etc., can solve the problems of crowdsourcing personal income decline and customer satisfaction, and achieve better multi-objective performance, optimize costs, and improve delivery speed. Effect

Active Publication Date: 2021-05-14
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, cost optimization may lead to lower customer satisfaction or lower personal benefits of crowdsourcing

Method used

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  • Multi-target city two-stage distribution planning method based on mobile transfer station and crowdsourcing
  • Multi-target city two-stage distribution planning method based on mobile transfer station and crowdsourcing
  • Multi-target city two-stage distribution planning method based on mobile transfer station and crowdsourcing

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Embodiment Construction

[0090] In order to make the technical solution and advantages of the present invention clearer, the specific implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples, but the implementation and protection of the present invention are not limited thereto.

[0091] A two-level distribution planning method for multi-target cities based on mobile transfer stations and crowdsourcing, including the following steps:

[0092] S1. Build a multi-target city two-level distribution mathematical model based on mobile transfer stations and crowdsourcing; consider the interests of the company, customers and crowdsourcing individuals, and optimize company costs, customer satisfaction and crowdsourcing individual income satisfaction;

[0093] figure 1 An example of two-level distribution in multi-target cities based on mobile transfer stations and crowdsourcing is shown. In this example, one distribution center...

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Abstract

The invention discloses a multi-target city two-stage distribution planning method based on mobile transfer stations and crowdsourcing, and aims to reduce the distribution cost and improve the city distribution speed. Based on a two-stage distribution mode of a mobile transfer station and crowdsourcing, goods are transferred from a distribution center located in a suburban area to the mobile transfer station located in an urban area by adopting a truck, and tail-end distribution is completed by adopting a crowdsourcing mode at the mobile transfer station. The position of the mobile transfer station is determined according to customer demands every day. Individuals participating in crowdsourcing start from the starting point of the original travel, go to the mobile transfer station to take goods, sequentially complete delivery tasks and finally go to the end point of the travel. The crowdsourcing mode enables the demands of customers to be quickly responded, and improves the delivery speed. Meanwhile, company cost, customer satisfaction and crowdsourcing individual income satisfaction are considered, a multi-target mathematical model is established, and a vehicle distribution path is obtained through a multi-direction evolutionary algorithm. The distribution speed is obviously improved, and meanwhile the cost is reduced.

Description

technical field [0001] The invention belongs to the field of logistics dispatching, in particular to a multi-target city two-level distribution planning method based on mobile transfer stations and crowdsourcing. Background technique [0002] Recently, a two-level urban distribution model with mobile transfer stations was proposed, which uses mobile transfer stations to replace traditional fixed transfer stations, which can effectively reduce distribution costs in the face of high urban rents and daily changing customer needs. (Liu Fagui, Lan Yulin. A two-level distribution and scheduling method for cities with mobile distribution stations [P]. Guangdong Province: CN110909952A, 2020-03-24.) However, this model only considers the storage of goods in smart cabinets Therefore, there is no need to consider the customer's time window, but in reality, some customers need to deliver goods to their door, and the requirements for delivery timeliness are increasing day by day. A fast ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/047G06Q10/06313Y02T10/40
Inventor 刘发贵兰宇琳
Owner SOUTH CHINA UNIV OF TECH
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