Results 21 to 30 of about 5,991 (170)
A Simple Approach for Monitoring Business Service Time Variation
Control charts are effective tools for signal detection in both manufacturing processes and service processes. Much of the data in service industries comes from processes having nonnormal or unknown distributions.
Su-Fen Yang, Barry C. Arnold
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Chasing Volatility of USD/TRY Foreign Exchange Rate: The Comparison of CARR, EWMA, and GARCH Models
This paper aims to make a comparison between range-based and return-based volatility models. For this purpose, we compare the Conditional Autoregressive Range (CARR) type and Generalized Autoregressive Conditional Heteroskedastic (GARCH) type models with
Yakup Arı
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The present study set out to build a machine learning model to incorporate conventional quality control (QC) rules, exponentially weighted moving average (EWMA), and cumulative sum (CUSUM) with random forest (RF) algorithm to achieve better performance ...
Çubukçu Hikmet Can
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SIMULATION STUDIES PERFORMANCE OF EWMA-MAX MCHART BASED ON SYNTHETIC DATA
Quality control has an important role in the manufacturing process. One of the statistical tools used in quality control is Statistical Process Control (SPC). The SPC product is a control chart.
Kevin Agung Fernanda Rifki +2 more
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Objective: The establishment of ongoing audits for first-trimester nuchal translucency (NT) measurements is of paramount importance. The exponentially weighted moving average (EWMA) chart has been published as an efficient tool for NT quality control ...
Martin Hynek +4 more
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In this article, we introduce a novel Bayesian Max-EWMA control chart under various loss functions to concurrently monitor the mean and variance of a normally distributed process.
Javed Iqbal +5 more
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ABSTRACT Electric multiple unit (EMU) trains, widely used in modern railway transportation, use Nickel–Cadmium (Ni–Cd) batteries to power auxiliary systems on board, including lighting, ventilation, control electronics, and emergency systems. These batteries are often connected in parallel to ensure a wider power supply range for electrical loads that ...
Christian Capezza +4 more
wiley +1 more source
A Rank‐Based CUSUM Monitoring Scheme for Time Between Events and Amplitude Data
ABSTRACT Monitoring time between events and amplitude (TBEA) data is critical in many applications, particularly in manufacturing, reliability engineering, and service operations. Yet, most existing TBEA control charts focus on a single quality characteristic and are typically developed under restrictive distributional assumptions.
Muhammad Arslan +5 more
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Optimal Design of Multiple Moving Average Charts
ABSTRACT The moving average control chart has been used to detect changes in a process mean more quickly than the Shewhart chart. The MA chart takes an unweighted average of the most recent w$w$ values and uses this to make an inference regarding the stability of the process.
Steven E. Rigdon
wiley +1 more source
In the hydrocarbon process industry, financial losses resulting from plant trips can be significant. In this study, reliability loss events or trips in 2018 at a sizeable hydrocarbon process plant are analysed to determine if they were preventable.
Ahmad Rizal Mohamed +3 more
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