Scheduling method based on multi-variety mixed flow assembly mode

A multi-variety and mixed-flow technology, applied in the field of enterprise assembly and production scheduling, can solve the problems of increasing the difficulty of production task scheduling

Active Publication Date: 2021-10-29
CHINA JILIANG UNIV
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Problems solved by technology

This assembly method can better adapt to the current highly competitive market and improve the competitiv

Method used

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  • Scheduling method based on multi-variety mixed flow assembly mode
  • Scheduling method based on multi-variety mixed flow assembly mode
  • Scheduling method based on multi-variety mixed flow assembly mode

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Embodiment Construction

[0038] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described, and the described embodiments are merely, and not all embodiments are based on the embodiments of the present invention. EXEGITIONITURE TECHNICAL INVENTION In the art, in the art, all other embodiments obtained without paying creative labor are all scope of the present invention.

[0039] A method according to a multi-variety mixed flow assembly mode includes the following steps:

[0040] Step 1: Analyze the P-Q analysis

[0041] Collect information such as product types and annuality metrics such as a corporate elevator buffer assembly line, draw the annual output map of the assembly line, and find key products. like figure 2 As shown, an annual output map of the elevator buffer.

[0042] Step 2: Drawing flow chart

[0043] According to the step, it is known that the key product is a 210C buffer, clarifies the assembly process, personnel, time, required stati...

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Abstract

The invention provides a scheduling method based on a multi-variety mixed flow assembly mode, and the method comprises the following steps: 1) collecting the annual output data of various products for P-Q analysis, 2) obtaining the product with the highest annual output according to the P-Q analysis, drawing the assembly flow chart of the product, (3) optimizing the process and balancing stations by using an ECRS four-principle questioning method under the flow chart, (4) solving an optimal production scheduling scheme of the mixed flow assembly line by using a genetic algorithm by taking the shortest assembly cycle time as a target, and (5) analyzing a result. By means of the steps, the scheduling scheme of the mixed flow assembly line for the enterprise with the shortest assembly cycle time as the target can be obtained. On the basis of a multi-variety mixed flow assembly mode, assembly line balance is carried out, the genetic algorithm model is constructed with the shortest assembly cycle time as the target, and the optimal scheduling scheme of the mixed flow assembly line is found out. By adopting the scheduling scheme obtained by the invention, the assembly cycle time can be objectively reduced, the order delivery time of an enterprise is effectively shortened, and the production efficiency of the enterprise is improved.

Description

Technical field [0001] The present invention relates to a method of assembling an extension of an assembly, specifically a method based on multi-variety mixed production mode. Background technique [0002] Today's business competition is very intense. In order to produce different models that meet the market diversification needs in the market, we must also meet the product delivery period, so it is extremely important for assembly line. The current assembly line is based on the order of the order time and the order, and this approach has a phenomenon of intercompatience and troubleshooting. In order to meet the diversified market demand and product delivery period, it has to be used. [0003] Due to the similar process and production structure of different models, there is a certain optimization for the change time of the automated assembly portion, which provides the necessary conditions for the implementation of the mixed flow assembly. This assembly method can better adapt to...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 余智马志斌陈典红
Owner CHINA JILIANG UNIV
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