Layering modeling and optimizing method targeting complicated manufacture system

A technology of manufacturing systems and optimization methods, applied in the direction of manufacturing computing systems, instruments, data processing applications, etc., can solve problems such as solution limitations, achieve high flexibility, and reduce the effect of calculation

Inactive Publication Date: 2010-06-09
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of existing manufacturing system modeling and optimization techniques, especially to overcome the shortcomings of existing manufacturing system optimization problems that are limited to single-layer or small-scale manufacturing systems, and to provide a hierarchical system for complex manufacturing systems. Modeling and optimization method, the complex manufacturing system is a hierarchical integrated manufacturing system composed of multiple elements

Method used

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  • Layering modeling and optimizing method targeting complicated manufacture system
  • Layering modeling and optimizing method targeting complicated manufacture system
  • Layering modeling and optimizing method targeting complicated manufacture system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] Example 1: Solving the two-tier job scheduling optimization problem

[0071] The shop described in this example has two part families (consisting of parts with similar processing routes) that need to be machined. There are 6 types of machines in the whole workshop, called A, B, C, D, E, and F. There are 8 machines for each type, and there are 48 processing machines in total. Each part family has 6 types of workpieces , its process constraints, processing time (data in brackets) and number of workpieces are shown in Table 1 and Table 2, respectively:

[0072] Table 1 Parts to be processed in part family 1

[0073]

[0074] Table 2 Parts to be processed in part family 2

[0075]

[0076] The workshop scheduling described here is divided into Figure 5 Two layers are shown: the part family planning layer and the part planning layer. The task of the part family planning layer is to complete the equipment planning of the whole workshop, and the task of the part pla...

Embodiment 2

[0093] Example 2: Optimal solution to the three-tier job scheduling problem

[0094] The workpiece processing procedures, machine tools and corresponding processing time involved in the workshop scheduling are shown in Table 4. In the table, Pij represents the jth processing procedure of workpiece i, such as P12 represents the second processing procedure of workpiece 1.

[0095] Scheduling objectives include optimization of processing time (minimum completion time) and optimization of processing costs.

[0096] Table 4 Instance data of a scheduling problem

[0097]

[0098] It is known that the processing costs of machines M1, M2, M3, M4, and M5 are 80 yuan / h, 100 yuan / h, 120 yuan / h, 90 yuan / h, and 60 yuan / h, and workpieces 1, 2, 3, and 4 , 5, 6, 7 and 8 delivery deadlines are 40h, 35h, 50h, 40h, 43h, 35h, 53h and 43h respectively, and the total processing cost is limited to less than 15,500 yuan.

[0099] According to the aforementioned solution methods and steps, the sol...

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Abstract

The invention provides a layering modeling and optimizing method targeting a complicated manufacture system, which is used for the total target optimization of a layering manufacture system comprising a plurality of elements. The method comprises the following steps of: (1) dividing the manufacture system into a layering system comprising a plurality of elements, wherein each element comprises a computer and carries out data exchange with other elements by a computer interface; (2) confirming the reaction, a contact variable and a local variable of all the elements and leading all elements to contact mutually; (3) establishing models of all the elements, which comprise an optimizing design model and an analyzing model; and (4) carrying out optimization solving on the models of the layering manufacture system. The invention can realize the modeling and optimizing unification of the layering manufacture system comprising the elements and has the advantages of consistence with the traditional manufacture system topological structure, capability of parallel optimization, unlimited layering grade number, and the like, and all the elements can select different optimization algorithms, therefore, different optimization algorithms can be integrated into one system.

Description

technical field [0001] The invention relates to the technical field of complex manufacturing system optimization, in particular to a modeling and optimization method for a hierarchical integrated manufacturing system composed of multiple elements. Background technique [0002] A variety of manufacturing system (enterprise) modeling frameworks and methods have been proposed from different perspectives, especially for computer integrated manufacturing systems (Computer Integrated Manufacturing System, CIMS). CIM Open System Architecture CIM-OSA (Computer Integrated Manufacturing-Open System Architecture) method; IDEF (ICMA DEFinitionmethod) method family proposed by KB SI in the United States and Purdue Enterprise Reference Architecture PERA (Purdue Enterprise Reference Architecture) proposed by Purdue University; France The GRAI / GIM integrated methodology (Graph with Results and Activities Interrelated / GRAI Integrated Methodology) proposed by the University of Bordeaux; the A...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q50/00G06Q10/06G06Q50/04
CPCY02P90/30
Inventor 姚锡凡黄英杰帅旗练肇通
Owner SOUTH CHINA UNIV OF TECH
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