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Manufacturing process optimization method and device based on quantum behavior particle swarm algorithm

A technology of particle swarm algorithm and manufacturing process, applied in calculation, calculation model, biological model, etc., can solve problems such as waste, cumbersome production process, and production data without optimization processing, and achieve high accuracy

Active Publication Date: 2019-09-06
QILU UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of actual workshop production, the main problems are as follows: (1) The production process is cumbersome, and the workshop production flexibility is relatively poor; (2) The recorded production data has not been optimized, and the input of raw materials, energy, etc. is adjusted according to past experience Quantity, failing to meet the optimization requirements of production, resulting in unreasonable allocation and waste of resources

Method used

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  • Manufacturing process optimization method and device based on quantum behavior particle swarm algorithm
  • Manufacturing process optimization method and device based on quantum behavior particle swarm algorithm
  • Manufacturing process optimization method and device based on quantum behavior particle swarm algorithm

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Experimental program
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Effect test

Embodiment 1

[0052] This embodiment discloses a manufacturing process optimization method based on quantum behavior particle swarm algorithm, including the following steps:

[0053] Step 1: Taking the oxygen consumption, heavy oil consumption, machine consumption cost and furnace pressure on the production line as optimization objectives, and taking time and resource constraints as constraints, construct a multi-objective manufacturing process optimization model;

[0054] A business process is a set of interrelated, dependent, and step-by-step activity processes completed by multiple subjects in order to achieve the goal. Business process optimization is to continuously modify and improve the existing process. According to the analysis of the key success factors of business process optimization , mainly including four aspects, namely time, cost, quality and flexibility. Time includes execution time and activity waiting time; cost mainly includes information cost, labor cost and resource co...

Embodiment 2

[0110] The purpose of this embodiment is to provide a computing device.

[0111] A manufacturing process optimization device based on quantum behavior particle swarm optimization, including a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor implements the following steps when executing the program, including :

[0112] Step 1: Taking the oxygen consumption, heavy oil consumption, machine consumption cost and furnace pressure on the production line as optimization objectives, and taking time and resource constraints as constraints, construct a multi-objective manufacturing process optimization model;

[0113] Step 2: Solving the multi-objective manufacturing process optimization model by using the quantum behavioral particle swarm algorithm.

Embodiment 3

[0115] The purpose of this embodiment is to provide a computer-readable storage medium.

[0116] A computer-readable storage medium, on which a computer program is stored for optimization of a manufacturing process, the program performs the following steps when executed by a processor:

[0117] Step 1: Taking the oxygen consumption, heavy oil consumption, machine consumption cost and furnace pressure on the production line as optimization objectives, and taking time and resource constraints as constraints, construct a multi-objective manufacturing process optimization model;

[0118] Step 2: Solving the multi-objective manufacturing process optimization model by using the quantum behavioral particle swarm algorithm.

[0119] The steps involved in the above embodiments 2 and 3 correspond to the method embodiment 1, and for specific implementation methods, please refer to the relevant description part of the embodiment 1. The term "computer-readable storage medium" shall be con...

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Abstract

The invention discloses a manufacture process optimization method based on quantum behavior particle swarm optimization. The method comprises the steps that the oxygen consumption, the heavy oil consumption, the machine consumption cost and the gas pressure in a furnace on a production line are used as optimization targets; time and resource constraints are used as constraints to build a multi-objective manufacture process optimization model; quantum behavior particle swarm optimization is used to solve the multi-objective manufacture process optimization model. The invention provides a quantitative way for the optimization of a manufacture process. The method is more reasonable and accurate than a previous adjustment method based on experience, which helps to optimize resource allocation.

Description

technical field [0001] The invention belongs to the field of manufacturing optimization scheduling, and in particular relates to a manufacturing process optimization method and device based on quantum behavior particle swarm algorithm. Background technique [0002] The manufacturing industry directly reflects the productivity level of a country and is an important factor that distinguishes developing countries from developed countries. Manufacturing industry occupies an important share in the national economy of developed countries in the world. At the same time, manufacturing is the core strength and supporting industry of our country. my country's manufacturing industry is developing rapidly, but there are still problems such as low productivity and serious waste. As an important support for economic and social development, manufacturing is the main channel for urban employment in my country and international Concentration of competitiveness. Under the "Made in China 2025"...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04G06N3/00
Inventor 姜雪松王润泽逄焕君
Owner QILU UNIV OF TECH