Collaborative scheduling method of high-end equipment manufacturing process, based on hybrid differential genetic algorithm

A genetic algorithm and collaborative scheduling technology, which is applied in the field of collaborative scheduling of high-end equipment manufacturing processes based on hybrid differential genetic algorithms, can solve problems such as difficult collaborative scheduling, and achieve the effect of improving overall benefits and service levels and reducing collaboration costs.

Inactive Publication Date: 2018-09-04
HEFEI UNIV OF TECH
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Problems solved by technology

However, most of the existing research and solutions focus on the optimization of a single manufacturer or production link in the production process. In a distributed production environment, each production link is subject to region

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  • Collaborative scheduling method of high-end equipment manufacturing process, based on hybrid differential genetic algorithm
  • Collaborative scheduling method of high-end equipment manufacturing process, based on hybrid differential genetic algorithm
  • Collaborative scheduling method of high-end equipment manufacturing process, based on hybrid differential genetic algorithm

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[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] figure 1 It is a schematic flowchart of a method for a collaborative scheduling method for high-end equipment manufacturing processes based on a hybrid differential genetic algorithm provided by an embodiment of the present invention. figure 2 A detailed flow chart of the collaborative scheduling method for high-end equipment manufacturing process based on hybrid differential genetic algorithm provided by an embodiment of the present invention. seefig...

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Abstract

The invention provides a collaborative scheduling method of high-end equipment manufacturing process, based on a hybrid differential genetic algorithm. The collaborative scheduling method includes thesteps: obtaining hybrid differential evolution and genetic algorithm parameters; defining Q chromosomes, wherein each chromosome includes a plurality of genes to initialize a population vector; performing code correction operation based on the Q chromosomes; according to the corrected gene, arranging workpieces to each manufacturer for production processing, and calculating the manufacturing spanof each scheme; screening the chromosome with the smallest fitness value from the Q chromosomes, and obtaining the current global optimal solution gbest; updating the population vector by using Bernoulli crossover operation; and updating the population vector by means of an immigration strategy until the global optimal solution gbest is output as the optimal height scheme. The collaborative scheduling method of high-end equipment manufacturing process, based on a hybrid differential genetic algorithm can successfully solve the collaborative scheduling problem of production and transportationin the distributed manufacturing process, and is beneficial to improving the overall efficiency and service level of the production system.

Description

technical field [0001] The invention relates to the technical field of high-end equipment-oriented production scheduling, in particular to a method for collaborative scheduling of high-end equipment manufacturing processes based on a hybrid differential genetic algorithm. Background technique [0002] Distributed production for high-end equipment is a decentralized production method that is different from traditional manufacturing methods. The production process is usually completed by different manufacturers distributed in different regions. Therefore, in the entire production process, different manufacturers The coordinated scheduling between different production links that the supplier is responsible for will have an important impact on improving the overall production efficiency, saving production, transportation and storage costs, optimizing product quality, and so on. However, most of the existing research and solutions focus on the optimization of a single manufacture...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04G06N3/12
CPCG06N3/126G06Q10/0631G06Q50/04Y02P90/30
Inventor 裴军刘心报陆少军孔敏周志平
Owner HEFEI UNIV OF TECH
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