Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Logistics distribution control method with soft time windows

A technology of logistics distribution and control methods, applied in the direction of logistics, instruments, data processing applications, etc., can solve the problems of increasing costs, taking geographical information factors into account, and not considering roads, etc.

Inactive Publication Date: 2014-04-02
ZHEJIANG UNIV OF TECH
View PDF2 Cites 74 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, no matter which method is used to solve the logistics distribution problem, the following three problems are rarely taken into account: ① The distance between each delivery customer point is calculated based on its straight-line distance, which is separated from the actual road network between the delivery customer points ; ② Existing research on VRPTW problems does not consider the actual situation of road traffic, such as: flow capacity, road nodes and other geographical information factors into consideration; ③ Existing research is mostly for hard time windows, requiring vehicles Arrive within the specified time period, and less consider that the vehicle can arrive outside the time window, but it will increase the cost

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Logistics distribution control method with soft time windows
  • Logistics distribution control method with soft time windows
  • Logistics distribution control method with soft time windows

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] refer to Figure 1 to Figure 5 , a logistics distribution control method with a soft time window, comprising the following steps:

[0054] A1. Establish a network model, use ArcGIS software to establish the topological relationship between the network dataset and the road network; establish the road resistance value in the network dataset according to the Shap_Length field attribute in the vector data; then conduct network analysis on the network dataset to obtain The OD matrix of the minimum cost between delivery target nodes provides the weight of vehicle travel costs for the vehicle optimal scheduling model, and considers road nodes to assign cost weights to road traffic light intersections and toll stations;

[0055] A2. Establish vehicle optimal dispatch model with soft time window (VRPTW);

[0056] The objective function is established based on the trans...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A logistics distribution control method with soft time windows includes the following steps: (A1) a network model is built, cost resistances are assigned to roads to which network data are concentrated, and taking road nodes into consideration, toll weights are assigned to road traffic light intersections and toll stations; (A2) an optimized vehicle routing model with soft time windows (VRPTW) is built, a target function is established with lowest transportation costs, and the transportation costs are respectively composed of fixed distribution vehicle cost, transportation cost, vehicle waiting cost and delay cost; (A3) a fuzzy clustering analysis algorithm is designed, and a method based on the integration of quantitative analysis and qualitative analysis is adopted for clustering; (A4) a heuristic optimized vehicle routing algorithm is designed, the optimized vehicle routing algorithm is adopted for distribution target nodes in each class, and thereby a distribution result can be obtained. The logistics distribution control method with soft time windows adopts the distances of actual delivery road network routes between distribution nodes as a calculation basis and also takes the actual traffic capacities of roads, large network node number and transportation time needed by distribution nodes into consideration.

Description

technical field [0001] The invention relates to traffic and transportation engineering, geographic information data processing, computer application fields, operations research, graph theory and network analysis, management science and engineering, and especially relates to the field of logistics distribution. Background technique [0002] With the rapid development of economic globalization and network information technology, logistics distribution as a new economic growth point has attracted widespread attention. Distribution is the core link of the logistics system, and it is an inevitable market behavior born with the market. With the increasingly fierce market competition and the continuous improvement of customer requirements, distribution will play a pivotal role in the future market competition. In the distribution business, the optimal scheduling of distribution vehicles involves a wide range of factors, and there are many factors to be considered. It also has a gre...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06Q50/28
Inventor 张贵军郭冰冰明洁钟思恒
Owner ZHEJIANG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products