Garment sewing assembly line optimization method

An optimization method and pipeline technology, applied in the direction of manufacturing computing systems, instruments, computing models, etc., can solve complex problems

Active Publication Date: 2019-08-16
INNER MONGOLIA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Since the garment sewing production line compilation proble

Method used

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  • Garment sewing assembly line optimization method
  • Garment sewing assembly line optimization method
  • Garment sewing assembly line optimization method

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Experimental program
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Embodiment

[0035] see figure 1 , is a garment sewing line optimization method provided by the embodiment of the present invention, such as figure 1 As shown, the method includes step 1: process initialization, determine the initial position of each process; set the population size A(i), crossover probability J, mutation probability B, iteration number C; ant colony initialization, randomly generate ant colony Initial position; wherein, the initial parameters of the ant colony include an ant colony scale, and the ant colony scale is greater than the total number of processes.

[0036] Step 2: start to iterate and record the number of iterations; the iteration is a cycle of selecting a process for the currently visited station according to preset conditions; specifically, according to the module division of the task map and the weight of the process in each module, calculate The probability of process transfer and select the process with high probability for the currently visited station...

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Abstract

The invention discloses a garment sewing assembly line optimization method. According to the method, an ant colony algorithm is improved by utilizing a genetic algorithm. By referring to the ideas ofchromosome crossover and variation in the genetic algorithm and combining the ability of the ant colony algorithm to quickly search the optimal value and the robustness of the solving performance, thegarment sewing assembly line is optimally designed. The crossover and variation thought in the genetic algorithm can better achieve recombination and redistribution of sewing assembly line processes,and the robustness of the ant colony algorithm solution performance can enable the ant colony algorithm solution performance to be easily applied to the garment sewing assembly line optimization problem. And meanwhile, the advantage of quick search of the ant colony algorithm can be fully exerted, optimized recombination of the garment sewing assembly line can be more accurately and more quicklyachieved, the number of iterations is reduced, and divergence is avoided.

Description

technical field [0001] The invention relates to the technical field of assembly line optimization, in particular to a garment sewing assembly line optimization method. Background technique [0002] The essence of the establishment of the garment sewing line is to reorganize the process according to certain production requirements on the basis of ensuring the sequence of operations, according to a certain arrangement method, to meet the requirements of the balance of the assembly line, and to realize the optimization of the optimization design of the assembly line. When programming with the help of a computer to solve the problem of the establishment of a garment sewing line, the sequence of the line must be taken into account. In addition, the priority relationship among the processes of each module of the pipeline must be clarified, that is, the position weight of the process. This is an important prerequisite for the scientific arrangement of the assembly line with the he...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04G06N3/00
CPCG06Q10/0633G06Q50/04G06N3/006Y02P90/30
Inventor 闫亦农刘立枝特尔文张学沛
Owner INNER MONGOLIA UNIV OF TECH
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