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Vol. 173, Issue 6, June 2014, pp. 52-59




The Time Series Analysis in the Inspection of Defective Rate on Radio Frequency Devices

Rui-Mei LI

Shaanxi University of Technology, School of Management, Shaanxi, Han Zhong, 723001

E-mail: huweiscj@126.com



Received: 18 April 2014 /Accepted: 31 May 2014 /Published: 30 June 2014

Digital Sensors and Sensor Sysstems


Abstract: The quality of purchased parts is an important factor affecting the whole quality of the products, that how to grasp the size and trend of the defective rate in the warehouse-in inspection, becomes a meaningful theme in the quality control, through studying the modeling method of time series ARIMA model, applies variance analysis to the time series modeling, and carries out the variance analysis to the season data and determine the cycle. From all aspects of model identification, parameter estimation, modeling and prediction, this paper introduces the whole process of modeling and prediction. Utilizing SAS software, together with the variance test method and algorithm flow, establishes an ARIMA model for the defective rate data of purchased RF parts in the incoming inspection from January 2010 to July 2012 in the business platform of a department of XX Company, then performs the NJ time series analysis, and finally completes the short-term prediction for the defective rate value.


Keywords: Defective Rate, Time Series Analysis, Short-term Prediction.


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