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

Flowshop multi-target scheduling optimization method

An optimization method, multi-objective technology, applied in the direction of comprehensive plant control, control/regulation system, program control, etc., can solve problems such as lack of solutions

Active Publication Date: 2017-07-18
SHANDONG UNIV
View PDF7 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] To sum up, in the prior art, there is still a lack of effective solutions to the problem of how to enhance the adaptability of production scheduling in flow workshops

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
  • Flowshop multi-target scheduling optimization method
  • Flowshop multi-target scheduling optimization method
  • Flowshop multi-target scheduling optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0048] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0049]As introduced in the background technology, there is a lack of adaptability in establishing a multi-object...

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 flowshop multi-target scheduling optimization method, solves the problems that an existing built flowshop multi-target production scheduling model is poor in reacting ability, and can change and adjust the production scheduling strategy at will according to the company production needs; the method comprises the following steps: facing at the flowshop, and building a workshop production operating time, production cost and workshop energy consumption multi-target mathematics model; using a normalizing weight method to optimize the workshop production scheduling; using a hierarchy analytical method to decide each index weight according to company needs, and using a heredity algorithm to carry out searching optimization iteration so as to obtain the scheduling optimization scheme.

Description

technical field [0001] The invention relates to the technical field of workshop scheduling, in particular to a multi-objective scheduling optimization method for flow workshops. Background technique [0002] The flow shop scheduling problem can usually be described as: a batch of workpieces to be processed are processed through a specific processing system in a certain order. The processing procedures of each workpiece are the same, and each machine tool corresponds to a procedure. At the same time, by scheduling the processing sequence of workpieces and rationally allocating system resources, some indicators are optimized. Flow shop scheduling, as a typical production operation mode, has been widely used in discrete manufacturing, so it is of great theoretical and engineering application value to study the flow shop scheduling problem. [0003] At present, a large number of scholars have established corresponding production models from different production perspectives to ...

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
IPC IPC(8): G05B19/418
CPCG05B19/41865G05B2219/32252
Inventor 王黎明孔琳李方义李龙
Owner SHANDONG 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