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...

Forecasting end-to-end throughput accurately can be vital for several applications. Peer-to-peer applications like BitTorrent or Skype will be able to select the peers more efficiently if the throughput in the short-term is known. On the other hand applications can adapt their behaviour accordingly, if they know how the end-to-end throughput is going to vary in the lifetime of a connection. Thi...

We argue against the use of generally weighted moving average (GWMA) control charts. Our primary reasons are following: (1) There is no recursive formula for GWMA chart statistic, so all previous data must be stored and used in calculation each statistic. (2) The Markovian property does not apply to statistics, computer simulation determine limits statistical performance. (3) An appropriately d...

Process control is widely discussed in the manufacturing process, especially semiconductor manufacturing. Due to unavoidable disturbances manufacturing, different process controllers are proposed realize variation reduction. Since Reinforcement Learning (RL) has shown great advantages learning actions from interactions with a dynamic system, we introduce RL methods for and propose new controlle...

A satisfação dos clientes sobre a qualidade produtos e serviços interfere na posição de mercado da empresa, podendo até gerar vantagens competitivas para sua sobrevivência ascensão. O objetivo deste artigo é discutir, por meio um estudo caso, utilização carta controle EWMA (Exponentially Weighted Moving Average), mostrando situações reais em uma indústria do setor alimentício, onde variável Pes...

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. ...

Control charts with exponentially weighted moving average (EWMA) statistics (mean and variance) are used to jointly monitor the mean and variance of a process. An EWMA cost minimization model is presented to design the joint control scheme based on pure economic or both economic and statistical performance criteria. The pure economic model is extended to the economic-statistical design by addin...

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...

In many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. Background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. In this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...

Control charts are one of the tools in statistical process control widely used for monitoring, measuring, controlling, improving quality, and detecting problems processes various fields. The average run length (ARL) can be to determine efficacy a chart. In this study, we develop new modified exponentially weighted moving (EWMA) chart derive explicit formulas both two-sided ARLs p-order autoregr...