Cable production scheduling optimization method based on reinforcement learning

A production scheduling and optimization method technology, applied in the field of optimization, can solve problems such as high computational complexity and time-consuming, achieve the effect of low algorithm complexity and improve production and management efficiency

Active Publication Date: 2020-08-07
ZHEJIANG UNIV OF FINANCE & ECONOMICS
View PDF9 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the hyperheuristic algorithm has a problem of high computational complexity. The main reason is that the HLH strategy itself takes a lot of time to find the optimal heuristic method. Reducing the algorithm complexity of the HLH strategy is equally important for improving the overall performance of the algorithm. has an important influence

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
  • Cable production scheduling optimization method based on reinforcement learning
  • Cable production scheduling optimization method based on reinforcement learning
  • Cable production scheduling optimization method based on reinforcement learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer definition of the protection scope of the present invention;

[0048] The schematic diagram of the production process of the cable enterprise is as follows: figure 1 As shown, copper rods or aluminum rods, raw materials for cable production, are produced through wire drawing annealing, beaming / twisting, extrusion, cabling, extrusion sheathing, armoring and other processes. The annealing process is mainly for the copper rod material , to increase the flexibility of the wire after drawing. Equipment in different processes requires corresponding matching molds to achieve a specific type of cable production. On a certain machine in a certain process, it is necessary to switch the corresponding molds to...

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 cable production scheduling optimization method based on reinforcement learning. The method comprises the steps: establishing a cable production scheduling optimization modelunder multi-assembly-line and complex resource constraint conditions, wherein the optimization model aims at minimizing the deadline delay punishment cost; on the basis, combining with a hyperheuristic algorithm framework, taking a reinforcement learning mechanism as an HLH strategy of a hyperheuristic algorithm, and designing a simple heuristic rule for the characteristics of the cable production scheduling problem to construct an LLH method set, so the optimal solution of the cable production scheduling problem is realized; the optimization method is low in complexity, and the production and management efficiency of the traditional cable industry can be effectively improved. The method is of great significance to comprehensive promotion of quality improvement, efficiency improvement, transformation and upgrading of the traditional industry.

Description

technical field [0001] The invention relates to an optimization method, in particular to an optimization method for cable production scheduling based on reinforcement learning. Background technique [0002] With the continuous improvement of industrial scale and the continuous development of social economy, cable products have been more and more widely used in important industrial fields such as construction, transportation, automobile, communication, and energy. According to statistics, as early as 2012, the total output value of my country's wire and cable industry has exceeded one trillion yuan, becoming the world's largest wire and cable producer. At the same time, the market competition in the wire and cable industry is becoming increasingly fierce. Enterprises need to reduce production costs and improve production, management and service efficiency by reducing inventory, improving equipment utilization, and rationally allocating human resources. Scheduling optimizatio...

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): G06Q10/04G06Q10/06G06Q50/04G06N20/00
CPCG06Q10/04G06Q10/0631G06Q50/04G06N20/00Y02P90/30
Inventor 林剑宋洪波王周敬
Owner ZHEJIANG UNIV OF FINANCE & ECONOMICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap