Quality Control Charts Using Time Series Methods

Abstract

The control of the production process is one of the fundamental things of production companies, in order to be able to analyze their reality, and to obtain production of good quality, and with acceptable specifications, and in a way that leads to the development of the current reality of industrial companies, hence the purpose of the research came to use the methods of time series, which are dependent on the Simple  Moving Average model and Simple exponential smoothing model  for the purpose of creating quality control charts for moving averages, and exponentially weighted moving averages, using data from the General Battery Industry Establishment for the year 2014, it was concluded that the using an exponentially weighted moving averages chart to control any abnormal time series, is better than using the moving averages chart.