This paper describes a new diagnosis system, which is based on fuzzy reasoning to monitor the performance of a discrete manufacturing process and to justify the possible causes. The diagnosis system consists chie ̄y of a knowledge bank and a reasoning mechanism. The knowledge bank provides knowledge of the membership functions of unnatural symptoms that are described by Nelson's rules on X contr...

There are many situations for statistical process in which we have both random and vagueinformation. When uncertainty is due to fuzziness of information, fuzzy statistical control charts play animportant role in the monitoring process, because they simultaneously deal with both kinds of uncertainty.Dealing with fuzzy characteristics using classical methods may cause the loss of information and ...

Construction of Fuzzy Control Charts Based on Weighted Possibilistic Mean Dabuxilatu Wang, Pinghui Li & Masami Yasuda a School of Economics and Statistics, Guangzhou University, Guangzhou, China b Research Center of Statistical Science Lingnan, Guangzhou University, Guangzhou, China c Faculty of Science, Chiba University, Chiba, Japan Accepted author version posted online: 16 Apr 2014.Published...

The purpose of this article is to evaluate the application of forecasting models along with the use of residual control charts to assess production processes whose samples have autocorrelation characteristics. The main objective is to determine the efficiency of control charts for individual observations (CCIO) and exponentially weighted moving average (EWMA) charts when they are applied to res...