奧迪A6型汽車故障數(shù)據(jù)的分析和處理
摘要
現(xiàn)代社會，產(chǎn)品質(zhì)量就是企業(yè)的生命線，汽車制造業(yè)更是如此，如何及時掌握汽車0部件的質(zhì)量成為汽車生產(chǎn)廠家深為關(guān)注的問題。當(dāng)汽車廠家得到準(zhǔn)確的汽車部件維修數(shù)據(jù)時已經(jīng)是汽車出廠多年，廠家不能及時掌握產(chǎn)品的質(zhì)量也就不能對產(chǎn)品做出指導(dǎo)改進(jìn)。本課題的研究在1定的程度上可以彌補(bǔ)汽車0部件維修數(shù)據(jù)向廠家決策層反饋的延時。為廠家高層及時掌握產(chǎn)品質(zhì)量情況提供參考，從而推動產(chǎn)品質(zhì)量以及售后服務(wù)質(zhì)量的提高。
本文的研究從奧迪-A6轎車某1維修站點(diǎn)在某段時間內(nèi)的維修數(shù)據(jù)表出發(fā)，通過對現(xiàn)有的某0件的維修數(shù)據(jù)表預(yù)測未來某個時間此0件的千車故障數(shù)。主要解決了橫向數(shù)據(jù)與縱向數(shù)據(jù)的合理性分析，數(shù)據(jù)擬合與殘差分析以及對未來千車故障數(shù)的預(yù)測。維修數(shù)據(jù)表主要包含哪個批次生產(chǎn)的轎車（即生產(chǎn)月份）、售出時間、維修時間、維修部位、損壞原因及程度、維修費(fèi)用等等。通過這樣的數(shù)據(jù)可以全面了解所有部件的質(zhì)量情況，若從不同的需求角度出發(fā)科學(xué)整理數(shù)據(jù)庫中的數(shù)據(jù)，可得到不同用途的信息，從而實(shí)現(xiàn)不同的管理目的。通過對數(shù)據(jù)分析和預(yù)測，就能逐步確定此種0件總的壽命，而更好的指導(dǎo)廠家對質(zhì)量的改進(jìn)，也能指導(dǎo)0件維修站對某些0件做提前準(zhǔn)備，以免在緊急狀況下，因缺貨而導(dǎo)致信譽(yù)下降，更重要的是給用戶帶來了損失。
關(guān)鍵詞：反饋的延時 數(shù)據(jù)擬合 殘差分析 維修數(shù)據(jù)表
Abstract
In modern society, the quality of products is the lifeblood of enterprises, and it is the same truth with automobile manufacturing, so manufacturers attach great importance to how to grasp of the quality of a motor vehicle’s parts and components timely. The manufacturers of motor vehicle parts get the accurate identification data of maintenance vehicle only many years after the identification of the vehicles. The manufacturers can not make guiding improvement on products now that they can not control the quality of the products timely. The thesis can compensate, to some extent, the delay of feedback to policymakers on the maintenance data of the automotive components and it can provide the top manufacturers with timely information about the quality of products, thereby promoting the quality of products and enhancing the quality of after-sale service. The thesis studies from the maintenance data tables of Audi -A6 cars in a repair site within a certain period of time, and it forecasts the potential breakdown of one thousand cars in the future through the maintenance data sheet of existing parts. This thesis focuses on analyzing the horizontal and vertical resolution of the main data reasonably, data fitting, residual analysis and the projections of the potential breakdown of one thousand cars in the future and it also illustrates the main batch production cars (namely, the production month), sold time, maintenance time, maintenance parts, causes and extent of damage, repair costs, etc in the maintenance of data tables. The managers can master comprehensively the quality of all the components through such data, and they can attain different information to achieve different management purposes if they collate the data scientifically from different perspectives of demand. Through data analysis and projections, we can gradually establish the total life of such components, and provide better guidance for manufacturers to improve the quality, at the same time, prepare parts depots for some parts in advance, in case the shortage of parts in emergency situations causes the declining of credibility, and more importantly, a loss of the users.
Key words: the delay of feedback data fitting residual analysis maintenance data table
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