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

Site selection and distribution method of sustainable supply chain based on dynamic relaxation intelligent algorithm

A technology of intelligent algorithm and allocation method, applied in computing, computing model, data processing application, etc., can solve the problems of long search time, easy to fall into local optimal solution, etc.

Active Publication Date: 2020-04-03
LIAONING TECHNICAL UNIVERSITY
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In terms of methods, the traditional particle swarm optimization algorithm has problems such as too long search time and easy to fall into local optimal solutions. We propose an intelligent algorithm combined with dynamic relaxation factors to realize decision-making and scheduling optimization of sustainable supply chains.

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
  • Site selection and distribution method of sustainable supply chain based on dynamic relaxation intelligent algorithm
  • Site selection and distribution method of sustainable supply chain based on dynamic relaxation intelligent algorithm
  • Site selection and distribution method of sustainable supply chain based on dynamic relaxation intelligent algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0102] The specific implementation of the present invention will be described in detail below in conjunction with the accompanying drawings. As a part of this specification, the principles of the present invention will be described through examples. Other aspects, features and advantages of the present invention will become clear through the detailed description. In the referenced drawings, the same reference numerals are used for the same or similar components in different drawings.

[0103] Different from the sustainable supply chain network of the general method, the present invention not only incorporates the environmental impact into the supply chain network modeling, but also considers the production cost, carbon trading quota cost and sewage cost generated in the production process, and integrates suppliers and production The operating costs of the suppliers are incorporated into the mathematical model.

[0104] The site selection and allocation method of the sustainabl...

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 a site selection and distribution method of sustainable supply chain based on a dynamic relaxation intelligent algorithm. The method comprises the steps: 1, building a three-level structure sustainable supply chain model integrated with supply chain site selection and quantity distribution based on a comprehensive weighted score and by adopting the minimization of production cost, carbon transaction cost and pollution discharge cost as an optimization target; 2, converting supply chain site selection and quantity distribution into a vector form, and performing iterativeupdating operation on a solution population by using a dynamic relaxation swarm intelligence algorithm and combining a fitness function value with a dynamic relaxation factor until an optimal approximate solution of a target function is obtained, thereby obtaining the site selection decision and quantity allocation scheme of the sustainable supply chain network, and providing a high-quality and high-efficiency solution for designing a complex sustainable supply chain.

Description

technical field [0001] The invention belongs to the technical field of sustainable supply chain site selection and collaborative scheduling, and in particular relates to a sustainable supply chain site selection and allocation method based on a dynamic relaxation intelligent algorithm. Background technique [0002] The supply chain is a network composed of suppliers, producers, and customers. The purpose is to address the location and distribution of multiple factories and multiple customers in the sustainable supply chain, and process raw materials from suppliers in the sustainable supply chain and provide them to Manufacturers, in the process of producing raw materials as products and distributing them to customers, by optimizing the site selection decision and quantity allocation of the supply chain, and comprehensively considering environmental factors (carbon emissions, sewage discharges), the production process in each link is effectively reduced. The impact of carbon ...

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): G06Q10/04G06Q10/06G06N3/00
CPCG06Q10/04G06Q10/0637G06Q10/0631G06Q10/06393G06N3/006Y02P90/30
Inventor 郭羽含石扶雨孙宁张宇于俊宇刘子赫
Owner LIAONING TECHNICAL UNIVERSITY
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