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Planning and Scheduling Optimization Method Based on Big Data Analysis

An optimization method and big data technology, applied in the field of engineering application, to achieve the effect of saving cost, improving accuracy and shortening completion time

Active Publication Date: 2019-06-18
XIAN HIGH VOLTAGE APP RES INST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] There have been many studies on the planning and scheduling optimization methods in the engineering application field and manufacturing enterprises, but so far, there is no method to analyze and mine the influencing factors under the premise of big data analysis, and then optimize the planning and scheduling

Method used

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  • Planning and Scheduling Optimization Method Based on Big Data Analysis
  • Planning and Scheduling Optimization Method Based on Big Data Analysis
  • Planning and Scheduling Optimization Method Based on Big Data Analysis

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Embodiment Construction

[0051] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0052] The planning scheduling optimization method based on big data analysis described in the present invention, such as figure 1 As shown, firstly, build a big data analysis and mining platform based on Hadoop, use the association rule algorithm to analyze and mine the constraints of planning and scheduling, calculate the processing or testing cycle of each process in the plan, and calculate the start and finish of each process Time, complete its optimization, so that the start and finish time of the entire plan can be calculated and displayed visually at the end.

[0053] Specifically, such as figure 1 shown, including the following steps.

[0054] STEP1: Construct a big data analysis platform including sensor network data, controller data and manufacturing information system data based ...

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Abstract

The present invention provides a planned scheduling optimization method with accurate analysis, wide application range, cost saving and the improvement of enterprise operating efficiency based on large data analysis. The method comprises the steps of (S1) establishing a large data analysis platform comprising sensing network data, controller data and manufacturing information system data based on a Hadoop distributed platform, (S2) operating an Apriori association rule mining algorithm to dig the constraint factors of planned scheduling under a MapReduce framework to obtain the working procedure sequence constraint factor, a resource constraint factor, a temporary working procedure sequence constraint factor and a planned time constraint factor of a corresponding planned project, and (S3) orderly obtaining each working procedure processing period and working procedure start and completion times in a planned project period and the planned project according to the dug planned scheduling constraint factors, finally obtaining the start and completion times of the planed project and carrying out planned scheduling on the planned project according to the start and completion times.

Description

technical field [0001] The invention relates to the field of engineering applications, in particular to a planning and scheduling optimization method based on big data analysis. Background technique [0002] Plan scheduling mainly performs resource optimization and plan arrangement, and provides guidance for plan execution and control. The scheduling optimization process is the process of finding a reasonable scheduling plan, that is, how to reasonably arrange the matching relationship of production when the production objects are produced by different production entities, so as to optimize the production process and maximize the production income under the condition of satisfying the existing production conditions , scheduling optimization directly controls the stable and orderly execution of production. Good production scheduling can solve the interference in production and testing in advance, shorten the flow time of products or projects in the workshop, reduce the numbe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06
Inventor 李翌辉王佩史亚斌王东
Owner XIAN HIGH VOLTAGE APP RES INST CO LTD