Usually, in monitoring a proportion p < /em>, the binary observations are considered independent; however, in many real cases, there is a continuous stream of autocorrelated binary observations in which a two-state Markov chain model is applied with first-order dependence. On the other hand, the Bernoulli CUSUM control chart which is not robust to autocorrelation can be applied two-sided co...

This paper is concerned witl). "a problem in which a firm is engaged in manufacturing a number of types and sizes of goods at equal intervals, e. g. monthly, and the production is forced to fulfill the customer's demand immediately. In general the products are subject to considerable variations in demands. Let us assume that the amount demanded is uncertain but has a certain probability distrib...

Background and objectives: Risk-adjusted Bernoulli control chart is one of the main tools for monitoring multistage healthcare processes to achieve higher performance and effectiveness in healthcare settings. Using parameter estimates can lead to significantly deteriorate chart performance. However, so far, the effect of estimation error on this chart in which healthcare ...

Control chart patterns (CCPs) can be associated with certain assignable causes, and recognition of such patterns can assist the diagnostic search for those causes. Variations could be one or more instances of trend, cyclic, hugging, sudden shift or some other variations over time. Each pattern has special statistical characteristics which differentiate one pattern from another. In a time series...

Heuristic Dynamic Programming (HDP) is the simplest kind of Adaptive Critic which is a powerful form of reinforcement control 1]. It can be used to maximize or minimize any utility function, such as total energy or trajectory error, of a system over time in a noisy environment. Unlike supervised learning, adaptive critic design does not require the desired control signals be known. Instead, fee...

when a change occurs in a process, one expects to receive a signal from a control chart as quickly as possible. upon the receipt of signal from the control chart a search for identifying the source of disturbance begins. however, searching for assignable cause around the signal time, due to the fact that the disturbance may have manifested itself into the rocess sometimes back, may not always l...

a manufacturing process cannot be released to production until it has been proven to be stable. also, we cannot begin to talk about process capability until we have demonstrated stability in our process. this means that the process variation is the result of random causes only and all assignable or special causes have been removed. in complicated manufacturing processes, such as drilling proces...

The reliability data is getting used to monitor and improve the quality of products or services. Nowadays, most of products or services are the results of processes with dependent stages referred to as multi-stage process. In these processes, the quality characteristics are affected by the quality characteristics in the previous stages, called as cascade property. In some cases, it is not possi...

in this paper, controlling the gyros with linear plus cubic damping is considered. hence, an adaptive control algorithm is proposed to overcome the uncertainties in model parameters and the chaotic behavior of gyroscopes. it is noted that for general applications dynamic model coefficient of gyros is not precisely determined, on the other hand, with respect to a particular coefficient gyroscope...

accurate and correct performance of controller in cruise control systems is important. hence, in such systems, controller should optimize itself against noise and probable changes in system dynamic. as a matter of fact, in this article three approaches have been conducted to-ward this purpose: mit, direct estimation and indirect estimation. these approaches are used as controllers to track refe...