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Multi-target equipment layout and production scheduling collaborative optimization method based on simulation

A technology for production scheduling and collaborative optimization, applied in genetic models, genetic laws, resources, etc., can solve the problems of ignoring machine flexibility, inability to collaboratively optimize, and reducing practicability.

Active Publication Date: 2019-07-30
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional workshop layout optimization model ignores the flexibility of the machine when calculating the material flow, which reduces its practicability
[0004] 2. The traditional equipment layout and production scheduling technology cannot carry out collaborative optimization. The main way is to optimize the layout first and then schedule the production in a serial way, ignoring the correlation factors between the layout form and production scheduling

Method used

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  • Multi-target equipment layout and production scheduling collaborative optimization method based on simulation
  • Multi-target equipment layout and production scheduling collaborative optimization method based on simulation
  • Multi-target equipment layout and production scheduling collaborative optimization method based on simulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0125] S101. Build a device layout

[0126]S1011. Optimize the layout and production schedule of the equipment of a certain mold production line. The production area that can be used for planning is 11×18m, and there are 12 processing equipment in total. The matrix form of the sequence formed by the initial equipment number is:

[0127] X=[1,2,3,4,5,6,7,8,9,10,11,12]

[0128] The corresponding processing equipment is [milling machine, CNC1, CNC2, CNC3, wire cutting 1, wire cutting 2, wire cutting 3, EDM 1, EDM 2, EDM 3, grinding machine, coordinate measuring instrument], and the corresponding equipment size The formed matrix is:

[0129]

[0130] S1012, according to the above steps to place each device to get the position

[0131] S1013. The matrix of the transport distance and empty return travel distance determined based on the equipment position and the AGV track is a 12×12 matrix, and the corresponding matrix is:

[0132]

[0133]

[0134] S102. Generate a sc...

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Abstract

The invention discloses a multi-target equipment layout and production scheduling collaborative optimization method based on simulation, which comprises the following steps: acquiring plant, equipmentand workpiece information, performing collaborative modeling on equipment layout and production scheduling, and constructing an intelligent workshop equipment layout and production scheduling collaborative optimization simulation model; operating the intelligent workshop equipment layout and production scheduling co-simulation model and calculating corresponding target parameter values; constructing a double-layer genetic algorithm based on an equipment position sequence and a total consensus sequence to optimize a simulation model of intelligent workshop equipment layout and production scheduling collaborative optimization, and when an optimization algorithm is a genetic algorithm, according to the performance value of a current target parameter, continuously iterating and finding the optimal equipment layout and scheduling scheme meeting the target parameter. By means of the simulation technology, the machining process of each workpiece in the production line is dynamically simulated, real-time calculation of relevant data is achieved, the equipment layout and production scheduling scheme of the production line can be provided for an enterprise when the enterprise builds a factory, and the production cost of the enterprise is reduced.

Description

technical field [0001] The invention belongs to the technical field of equipment layout and production scheduling in a production workshop, and specifically relates to a method for realizing collaborative optimization of equipment layout and production scheduling by combining simulation technology and a double-layer genetic algorithm. Background technique [0002] Equipment layout and production scheduling have an important impact on the production efficiency of the manufacturing system and the overall benefits of the enterprise. 20% to 50% of the operating costs can be attributed to the layout form and production scheduling scheme. With the introduction of new production or production auxiliary tools such as machining centers, robots, and AGVs into the production line, the traditional layout method mainly takes the logistics flow as the optimization goal and uses a simplified mathematical model to determine the location of the equipment, which has been unable to adapt to the...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/12G06Q10/06G06Q50/04
CPCG06N3/126G06Q10/06316G06Q10/06312G06Q50/04G06F30/20Y02P90/30
Inventor 周光辉何君田长乐常丰田
Owner XI AN JIAOTONG UNIV
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