Reconfigurable manufacturing system polymorphic configuration optimization method based on tasks

A manufacturing system and configuration optimization technology, applied in the field of processing and manufacturing, to achieve the effect of flexible processing

Inactive Publication Date: 2014-07-23
TONGJI UNIV
View PDF3 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies of existing manufacturing system configuration optimization methods, and propose a task-based recombinable manufacturing system polymorphic configuration optimization method to solve the deficiencies in the background technology

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
  • Reconfigurable manufacturing system polymorphic configuration optimization method based on tasks
  • Reconfigurable manufacturing system polymorphic configuration optimization method based on tasks
  • Reconfigurable manufacturing system polymorphic configuration optimization method based on tasks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The present invention will be further described below in conjunction with the content of the present invention and the embodiments described in the accompanying drawings.

[0055] The present invention is a task-based polymorphic configuration optimization method for a reconfigurable manufacturing system, which includes the following steps:

[0056] Step 1: Acquire the characteristic information of the dynamic task, analyze the technological characteristics of the parts to be processed, and determine the priority level of the task.

[0057] Task feature information mainly includes task requirement features, process features of parts to be processed, machine tool configuration features, space constraint features, and cost constraint features.

[0058] Step 2, establish a dynamic space model used to describe the process of task state change and a machine tool capability space model used to describe the number of machine tools.

[0059] The state space used to describe th...

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 reconfigurable manufacturing system polymorphic configuration optimization method based on tasks. The reconfigurable manufacturing system polymorphic configuration optimization method comprises the following steps that firstly, according to changes in market requirements, feature information of the dynamic tasks is obtained, process features of a part to be machined are analyzed, and the priority levels of the tasks are determined; secondly, a dynamic space model used for describing the state change process of the tasks and a machine tool capacity space model used for describing the number of machine tools are established; thirdly, a mapping relation from dynamic task space to machine tool capacity space is established, and reasonable station operation is distributed to the dynamic tasks through the Markov decision process on the basis of the mapping relation; fourthly, a task distribution mechanism which enables the machine tool capacity to be optimized is established according to machining capacity information of the machine tools; fifthly, a system queue model used for describing the task state input and output process is established according to the task distribution mechanism and a system optimization objective, and multi-objective optimization analysis is conducted on the system configuration through epsilon-dominated adaptive particle swarm optimization.

Description

technical field [0001] The invention belongs to the technical field of processing and manufacturing, and relates to an optimization method in the field of manufacturing system configuration, in particular to a task-based multi-state configuration optimization method for a reconfigurable manufacturing system. Background technique [0002] Configuration optimization is an important link for a reconfigurable manufacturing system to respond economically and quickly to diverse market demands. Each life cycle of a reconfigurable manufacturing system has different task requirements in its entire life cycle, and each task requirement requires Different configurations match it. The configuration of the reconfigurable manufacturing system is mainly considered from the following two aspects: device layer configuration and system layer configuration. The equipment layer configuration is mainly to determine the combination and connection relationship between the equipment modular compon...

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): G06Q10/04G06Q10/06G06Q50/04
CPCY02P90/30
Inventor 谢楠李爱平周丰旭徐立云刘雪梅马淑梅徐辰杰段明雷
Owner TONGJI UNIV
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