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

Automobile spare part loading optimization method based on improved secondary particle swarm algorithm

A secondary particle and optimization method technology, applied in calculation, calculation model, prediction, etc.

Inactive Publication Date: 2010-12-22
HUNAN UNIV
View PDF0 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned technical problems existing in the loading of existing auto parts, the present invention provides a method for optimizing the loading of auto parts based on the improved secondary particle swarm algorithm

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
  • Automobile spare part loading optimization method based on improved secondary particle swarm algorithm
  • Automobile spare part loading optimization method based on improved secondary particle swarm algorithm
  • Automobile spare part loading optimization method based on improved secondary particle swarm algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The objective function of the auto parts loading model constructed by the present invention is composed of two parts. One is that within the entire distribution range, the sum of the total transportation cost and the service penalty cost caused by the violation of time and place consistency is the system operation cost , to make it the minimum under the following constraint conditions. The second is to make full use of the space and load capacity of the distribution vehicle, which is expressed as the smallest difference between the volume-to-weight ratio of each distribution vehicle and the total volume-to-weight ratio of the loaded parts. The problem consists of 5 constraints, using constraint (1) to constrain the decision variable x ij It is a Boolean variable of 0-1. When it is equal to 1, it means that the jth box of spare parts is transported by the delivery vehicle i to the customer point; use the constraint condition (2) to constrain the total demand balance const...

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

The invention discloses an automobile spare part loading optimization method based on an improved secondary particle swarm algorithm. The decision-making elements of cost, resources, service quality, and the like are comprehensively considered during the logistic transportation loading of automobile spare parts, and an automobile spare part loading optimization model is established. The secondary particle swarm algorithm is introduced for solution, and the improved secondary particle swarm algorithm is adopted aiming at the defect of low early particle diversity searched by the secondary particle swarm algorithm, a variation idea and an interchangeable updating mechanism of a genetic algorithm are adopted to enhance the diversity of a population so as to avoid premature convergence, and the optimization solution effect is improved. Simulation examples show that the particle diversity and the algorithm solution efficiency during the algorithm solution process are obviously better than those before improvement, and the probability for searching optimal overall situation is higher. The invention provides a method support for optimizing and improving a loading scheme of enterprise automobile spare parts and related goods in the logistics industry.

Description

technical field [0001] The invention belongs to the field of cargo stowage in the logistics industry, and in particular relates to a method for optimizing the stowage of auto parts based on an improved secondary particle swarm algorithm. Background technique [0002] Auto parts logistics refers to the process of transferring auto parts from the place of supply to the place of demand with the minimum total cost and according to the needs of users, mainly including storage, loading, distribution, circulation processing, information processing and other activities. With the intensive and integrated development of the auto parts logistics system, the loading link in the auto parts distribution process has become one of the main links restricting the auto parts logistics system. Most of the decision-making still relies on the long-term accumulated experience of the operators, lacking scientific method guidance, resulting in frequent accidents such as the loss of complete boxes of...

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): G06Q10/00G06Q50/00G06N3/00G06Q10/04
CPCY02T10/56Y02T10/40
Inventor 刘坚武春燕彭富强于德介
Owner HUNAN UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com