X-Bar and R Control Chart Interpretation Using Neural Computing
نویسنده
چکیده
This paper formulates Shewhart mean (X-bar) and range (R) control charts for diagnosis and interpretation by artificial neural networks. Neural networks are trained to discriminate between samples from probability distributions considered within control limits and those which have shifted in both location and variance. Neural networks are also trained to recognize samples and predict future points from processes which exhibit long term or cyclical drift. The advantages and disadvantages of neural control charts compared to traditional statistical process control are discussed.
منابع مشابه
نمودار شوهارت ناپارامتری رتبه علامت دار با فاصله نمونه گیری متغیر
Nonparametric control chart based on rank is used for detecting changes in median(mean). In this article ,Signed-rank control chart is considered with variable sampling interval. We compared the performance of Signed-rank with variable sampling interval (VSI-SR) to Signed-rank with Fixed Sampling interval (FSI-SR),the numerical results demonstrated the VSI feature is so useful. Bakir[1] showed ...
متن کاملBayesian Estimation of the Multiple Change Points in Gamma Process Using X-bar chart
The process personnel always seek the opportunity to improve the processes. One of the essential steps for process improvement is to quickly recognize the starting time or the change point of a process disturbance. Different from the traditional normally distributed assumption for a process, this study considers a process which follows a gamma process. In addition, we consider the possibility o...
متن کاملBi-objective Economic statistical design of the joint Xbar and S charts incorporating Taguchi loss function
In this research, we propose a bi-objective model for the economic-statistical design of the X-bar and S control charts. The model minimizes out-of-control average time to signal as well as minimizing mean hourly loss-cost where it incorporates the Taguchi loss function. Statistical constraint is considered in the model to achieve desired in-control time to signal. A non-dominated sort...
متن کاملطراحی یک نمودار کنترل میانگین متحرک موزون نمایی پایدار با بازه‌های نمونه‌گیری متغیر برای کنترل تغییرات در میانگین فرآیند
The performance of an X-bar chart is usually studied under the assumption that the process standard deviation is well estimated and does not change. This is, of course, not always the case in practice and X-bar charts are not robust against errors in estimating the process standard deviation or changing standard deviation. In this paper, the use of an exponentially weighted moving average (EW...
متن کاملMax Chart: Combining X-bar Chart and S Chart
Control chart techniques have been widely used in industries to monitor a process in quality improvement. Whenever we deal with variables data, we usually employ a combination of X-bar chart and R chart (or S chart) to monitor both the center and the spread of the process. In this paper, we propose a simple alternative, that is, we design a single chart to monitor both the center and the spread...
متن کامل