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Linear profile monitoring using EWMA structure under ranked set schemes
(
Springer London
, 2017 , Article)
In many manufacturing processes, study variable is not the only quality characteristic, but there may exist some explanatory variable(s) that are associated with the study variable. This association may be linear or nonlinear ...
An Assorted Design for Joint Monitoring of Process Parameters: An Efficient Approach for Fuel Consumption
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Due to high fuel consumption, we face the problem of not only the increased cost, but it also affects greenhouse gas emission. This paper presents an assorted approach for monitoring fuel consumption in trucks with the ...
Mixed EWMA-CUSUM and mixed CUSUM-EWMA modified control charts for monitoring first order autoregressive processes
(
Taylor and Francis Ltd.
, 2017 , Article)
In practice most processes are known to produce autocorrelated observations. Autocorrelation degrades the performance of control charts by producing frequent false alarms when the process is stable or makes the charts ...
An enhanced nonparametric EWMA sign control chart using sequential mechanism
(
Public Library of Science
, 2019 , Article)
Control charts play a significant role to monitor the performance of a process. Nonparametric control charts are helpful when the probability model of the process output is not known. In such cases, the sampling mechanism ...
On Model Selection for Autocorrelated Processes in Statistical Process Control
(
John Wiley and Sons Ltd
, 2017 , Article)
Using traditional control charts to monitor autocorrelated processes is not beneficial, because it will lead us to misleading detections in the processes. One of the methods used to deal with the control charts for ...
Phase II monitoring of linear profiles with random explanatory variable under Bayesian framework
(
Elsevier
, 2019 , Article)
Linear profiles monitoring have been successfully implemented in many industrial applications. The design structures of control charts for profiles monitoring are mostly based on two major classifications namely Classical ...
On designing efficient memory-type charts using multiple auxiliary-information
(
Taylor and Francis Ltd.
, 2023 , Article)
This article intends to investigate new progressive mean (MEP) charts using a single auxiliary characteristic (AMEP) and two auxiliary characteristics (TAMEP) to trace small shifts in the process mean effectively. The ...
A new hwma dispersion control chart with an application to wind farm data
(
MDPI AG
, 2020 , Article)
Recently, a homogeneously weighted moving average (HWMA) chart has been suggested for the efficient detection of small shifts in the process mean. In this study, we have proposed a new one-sided HWMA chart to effectively ...
Bayesian Monitoring of Linear Profiles Using DEWMA Control Structures with Random X
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
The process structures of manufacturing industry are efficiently modeled using linear profiles. Classical and Bayesian set-ups are two well-appreciated schemes for designing control charts for the monitoring of process ...
On Phase-I monitoring of process location parameter with auxiliary information-based median control charts
(
MDPI AG
, 2020 , Article)
A control chart is often used to monitor the industrial or services processes to improve the quality of the products. Mostly, the monitoring of location parameters, both in Phase I and Phase II, is done using a mean control ...