in many statistical process control applications, the quality of a process is characterized by a profile. a profile is a function in terms of one or more explanatory variables. in profile monitoring, one is interested to monitor the performance of a process or product using this functional relationship. control charts for monitoring nonparametric profiles are useful when the relationship is too...

background and objectives: hbv dna monitoring is important in management of chronic viral hepatitis b infection. hbv dna measurements are carried out over period of months to years. so the analytical system must be stable and reproducible. the aim of this study was to determine the performance characteristics and to plan a statistical quality control system of a laboratory-developed real-time q...

Statistical process control methods for monitoring processes with univariate ormultivariate measurements are used widely when the quality variables fit to known probabilitydistributions. Some processes, however, are better characterized by a profile or a function of qualityvariables. For each profile, it is assumed that a collection of data on the response variable along withthe values of the c...

Two main approaches are possible when several correlated variables must be monitored: one multivariate quality control chart or a set of univariate charts. This paper deals with the optimal design of a set of EWMA control charts to monitor the mean of several quality variables simultaneously. A specific Markov’s chain model has been developed to compute the ARL of a set of p EWMA charts. An opt...

Multivariate control charts such as Hotelling`s T^ 2 and X^ 2 are commonly used for monitoring several related quality characteristics. These control charts use correlation structure that exists between quality characteristics in an attempt to improve monitoring. The purpose of this article is to discuss some issues related to the G chart proposed by Levinson et al. [9] for detecting shifts in ...

Number: 025-0620 A New Approach to Design of Fuzzy Multi-Attribute Control Charts by Anjani Kumar, K. V. N. S And Mohapatra, P. K. J Indian Institute of Technology, Kharagpur Department of Industrial Engineering and Management, Kharagpur 721302, India [email protected] (*), [email protected] (**) POMS 23 Annual Conference Chicago, Illinois, U. S. A. April 20 to April 23, ...