Abstract For effective monitoring of the range sustainable changes in process median, a nonparametric adaptive cumulative sum signed‐rank (NPACUSUM‐SR) control chart has been suggested this study. Through use Monte Carlo simulation, numerical analysis NPACUSUM‐SR scheme calculated for zero and steady states. Run length (RL) profiles have used to explore compare proposed chart's in‐control resilience under various symmetrical heavy‐tailed, light‐tailed, contaminated normal distributions. The...

The statistical performance of traditional control charts for monitoring the process shifts is doubtful if underlying will not follow a normal distribution. So, in this situation, use nonparametric considered to be an efficient alternative. In paper, exponentially weighted moving average (EWMA) chart developed based on Wilcoxon signed‐rank statistic using ranked set sampling. run length and some other associated characteristics were used as evaluation proposed chart. A major advantage EWMA...

ABSTRACT Cumulative sum (CUSUM) control charts are very effective in detecting special causes. In general, the underlying distribution is supposed to be normal. designing a CUSUM chart, it important know how chart will respond disturbances of normality. The focus this article location parameter using structure and major concern identify that more practical value under different normal, non-normal, contaminated cause parent scenarios. study, we propose compare performance for phase II...

Abstract In the service and manufacturing industry, memory‐type control charts are extensively applied for monitoring production process. These types of have ability to efficiently detect disturbances, especially smaller amount, in process mean and/or dispersion. Recently, a new homogeneously weighted moving average (HWMA) chart has been proposed efficient shifts. this study, we double HWMA (DHWMA) monitor changes mean. The run length profile DHWMA is evaluated compared with some existing...

Abstract For monitoring the number of nonconformities per unit in industrial processes during inspection, Poisson control charts are most widely deployed. These charting structures referred to as attribute quality characteristic under study is based on a nominal scale other than quantitative or measured scale. In this study, adaptive exponentially weighted moving average (PAEWMA) has been designed and performance said chart steady‐state situation along with zero‐state condition studied for...

Process monitoring through control charts is a quite popular practice in statistical process control. This study planned for the dispersion parameter using exponentially weighted moving average (EWMA) chart scheme. Most of EWMA that have been proposed are based on assumption parent distribution quality characteristic normal, which not always case. In this study, we develop new wide range estimates processes following normal and non‐normal distributions. The performance all evaluated compared...

Abstract Memory‐type control charts play a significant role to identify slight changes in the parameters of production process. In this article, we have proposed new cumulative sum chart that utilizes statistic homogeneously weighted moving average chart. The performance is studied using Monte Carlo simulations. compared with some existing under different run length profiles. profile comparisons reveal performs superior as charts. A real‐life application manufacturing process dataset also part study.

This article studies estimation methods for the location parameter. We consider several robust estimators as well based on a phase I analysis, i.e., use of control chart to study historical dataset retrospectively identify disturbances. In addition, we propose new type analysis. The are evaluated in terms their mean-squared errors and effect X charts used real-time process monitoring (phase II). It turns out that trimmed trimean far outperforms existing methods. method has therefore proven...

Nonparametric control charts can be useful as an alternative in practice to the data expert when there is a lack of knowledge about underlying distribution. In this study, nonparametric cumulative sum (CUSUM) sign chart for monitoring and detecting possible deviation from process mean using ranked set sampling proposed. Ranked effective method observations are inexpensive, measurements perhaps destructive. The average run length used performance measure proposed CUSUM chart. Simulation study...

<p>Conventional measures of location are commonly used to develop ratio estimators. However, in this article, we attempt use some non-conventional measures. We have incorporated tri-mean, Hodges-Lehmann, and mid-range the auxiliary variable for purpose. To enhance efficiency proposed mean estimators, population correlation coefficient, coefficient variation linear combinations also been exploited. The properties associated with estimators evaluated through bias square errors. provide...

Control charts are widely used to identify changes in a production process. Nonparametric or distribution-free can be useful when there is lack of underlying process distribution. A nonparametric exponentially weighted moving average (EWMA) control chart based on sign test using ranked set sampling (RSS) proposed monitor the possible small shifts mean. The performance evaluated terms run length, median and standard deviation length It has been observed that version EWMA chart, RSS shows...

Abstract To maintain and improve the quality of processes, control charts play an important role for reduction variation. detect large shifts in process parameters, Shewhart are commonly applied but small shifts, exponentially weighted moving averages (EWMA), cumulative sum (CUSUM), double average (DEWMA), CUSUM, (MA), (DMA), progressive mean (PM) charts, used. This study proposes (DPM) optimal DPM to enhance performance PM chart. As proposed use information sequentially, hence their is...

Investigation and removal of unnatural variation in the processes manufacturing, production services require application statistical process control. Control charts are most famous commonly used control tools to trace changes manufacturing nonmanufacturing parameter(s). The nonparametric become necessary when distribution underlying is unknown or questionable. robust alternative along with holding property quick shift detection ability In this article, we have proposed double exponentially...

Abstract In practical situations, the underlying process distribution sometimes deviates from normality and their is partially or completely unknown. that instance, rather than staying with/depending on conventional parametric control charts, we consider non‐parametric charts due to exceptional performance. this paper, a new double homogeneously weighted moving average sign chart proposed with least assumptions. This based test statistic for catching smaller deviations in location....

Statistical process control (SPC) tools are used for the investigation and identification of unnatural variations in manufacturing, industrial, service processes. The chart, basic most famous tool SPC, is monitoring. Generally, charts constructed under normality assumption quality characteristic interest, but practice, it quite hard to hold assumption. In such situations, parametric tend offer more frequent false alarms invalid out-of-control performance. To rectify these problems,...

Abstract Process control measures are mostly applied in production and manufacturing industries. The most important tool used these disciplines is chart. In processes, when the quality characteristic of interest cannot be directly measured, it becomes essential to apply attribute charts. To monitor fraction nonconforming output, practitioners prefer p ‐chart. this article, a new progressive mean (PM) chart being proposed for monitoring drift proportion products. design evaluations made...

Abstract The exponentially weighted moving average (EWMA) control chart is a memory that widely used in process monitoring to spot small and persistent disturbances the parameter(s). This requires normality of quality characteristic(s) interest smaller choice smoothing parameter. Any deviations from these conditions affect its performance terms efficiency robustness. For said two concerns, this study develops new mixed EWMA under progressive setup (mixed EWMA–progressive mean [MEP] chart)....

To detect sustainable changes in the manufacturing processes, memory-type charting schemes are frequently functioning. The recently designed, homogenously weighted moving average (HWMA) technique is effective for identifying substantial processes. make HWMA chart more persistent shifts industrial a double (DHWMA) has been proposed recently. This study intends to develop triple (THWMA) efficient monitoring of process mean under zero- and steady-state scenarios. non-normal effects...

Abstract This article uses the classic multivariate cumulative sum () chart scheme proposed by Crossier (1988) to present a new modified for compositional data (). For this purpose, are first transformed using isometric log‐ratio coordinates representation eliminate constant constraint of . The ‐ control has been defined along with performance measures average run length Besides, Markov chain method used study chart. Assuming that normally distributed, charts have compared existing...

Abstract The variable sampling interval (VSI) scheme is a well‐known technique for improving the detection ability of control charts (CCs). In proposed study, measurement error (ME) has been applied to investigate effectiveness Hotelling T 2 charting compositional data (CoDa) using VSI. current study considered case monitoring phase, assuming that process parameters are known continuous times Markov chain model. evaluation done average time signal. authors studied impact MEs on performance...

Control charts may help keep industrial and manufacturing processes running smoothly optimize their performance. In situations when it is uncertain how the data will be distributed, nonparametric control are more reliable useful than parametric charts. The sign test statistic arcsine transformation rapidly used in designing This article has designed Exponentially weighted moving average Cumulative sum using under zero-state steady-state at head-to-head optimal design parameter choices....

Shewhart-Cucconi and Shewhart-Lepage are two nonparametric control charts used for monitoring joint shifts in the process location scale parameters. This study investigates impact of light heavy-tailed distributions on performances these charts. The eect reference test samples is also a part this study.

Abstract Variation is an important phenomenon of the output every manufacturing and production process. To deal with natural special cause variations in process, quality practitioners mostly apply control charts. There have been regular advancements over time design structures these charts such as runs rules, fast initial response, sampling mechanisms among many others. In this article, auxiliary‐information‐based progressive mean (AIB‐PM) chart has proposed, which study variable found...

Abstract Control charts are designed under the normality assumption of quality characteristic process. However, rarely holds in practice. In non‐normal conditions, parametric tend to display more false alarm rates and invalid out‐of‐control comparisons. The exponentially weighted moving average chart is a frequently used memory‐type control for monitoring process target that only performs effectively smoothing parameter's small choices. This study proposes nonparametric mixed...

Abstract Control charts are widely used tool that provides quality inspectors with sensitive information for maintaining manufacturing process productivity. Numerous model‐based techniques have been presented in the literature to monitor industrial operations focus on normal response variable. However, non‐normal results can occur as a result of control operations. In such cases, new approach based generalized linear model multiple distribution options variables is required achieve better...