The integration of the curtailment method with control charts considerably improves detection speed by signalling an out-of-control condition prior to inspection whole sample. To date, few research works have focused on incorporation improve performance charts. Thus, this paper incorporates approach synthetic chart propose a (Curt_Syn) for detecting upward shifts in fraction non-conforming, p. ...

The control chart is a very popular tool of statistical process control. It is used to determine the existence of special cause variation to remove it so that the process may be brought in statistical control. Shewhart-type control charts are sensitive for large disturbances in the process, whereas cumulative sum (CUSUM)–type and exponentially weighted moving average (EWMA)–type control charts ...

Joint monitoring of time and magnitude is an important issue in many industrial non-industrial fields several proposals exist the literature. The aim this article to propose a new maximum exponentially weighted moving average (Max-EWMA) chart assuming generalized exponential distribution for as well magnitude. As test-statistic Max-EWMA consists two EWMA statistics, it easy identify out-of-cont...

The exponentially weighted moving average (EWMA) control chart is a memory-type known to be more efficient in detecting small and moderate shifts the process parameter. double EWMA (DEWMA) an extension of that effective than latter detection small-to-moderate shifts. This paper proposes new distribution-free (or nonparametric) triple (TEWMA) based on Wilcoxon rank-sum (W) statistic improve abil...

Monitoring complex production systems is primordial to ensure management, reliability and safety as well as maintaining the desired product quality. Early detection of emergent abnormal behaviour in monitored systems allows pre-emptive action to prevent more serious consequences, to improve system operations and to reduce manufacturing and/or service costs. This study reports the design of a ne...

This work presents a comparative study of the performance of the cumulative sum (CuSum), as well as the exponentially weighted moving average (EWMA) control charts. The objective of this research is to verify when CuSum and EWMA control charts do the best control region, in order to detect small changes in the process average. Starting from the data of a productive process, several series were ...

Abstract This study aim to propose a moving average control chart explicit formula based on the Generalized Poisson distribution ( MA GP ) and compare performance of with that Shewhart C ). The run length ARL is used consider performance. results indicated superior for detecting small shifts. Practitioners will find this be accurate as well simple apply use.

The special causes of variations, which is also known as a shift, can occur in single or more than one related process characteristics. Statistical control tools such charts are useful to monitor shifts the parameters (location and/or dispersion). In real-life situation, shift emerging different sizes, and it hard identify with classical charts. Moreover, characteristics required attention beca...

Airplane is a mode of transportation that has an accident risk. Aircraft accidents are recorded to occur almost every year in Indonesia. The Poisson distribution used model the number aircraft each because they have fixed time and independent. Statistical quality control applied as method monitor fatal Indonesia within limits. One carry out use chart. This study aims apply Exponentially Weighte...

Nonparametric (distribution-free) control charts have been introduced in recent years when quality characteristics do not follow a specific distribution. When the sample selection is prohibitively expensive, we prefer ranked-set sampling over simple random because ranked set sampling-based outperform charts. In this study, proposed nonparametric homogeneously weighted moving average based on Wi...