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Journal articles on the topic 'From-to chart'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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1

Yang, Su-Fen, and Barry C. Arnold. "A Simple Approach for Monitoring Business Service Time Variation." Scientific World Journal 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/238719.

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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. The commonly used Shewhart variable control charts, which depend heavily on the normality assumption, are not appropriately used here. In this paper, we propose a new asymmetric EWMA variance chart (EWMA-AV chart) and an asymmetric EWMA mean chart (EWMA-AM chart) based on two simple statistics to monitor process variance and mean shifts simultaneously. Further, we explore the samplin

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Delpachitra, Pavitra, Kirsten Palmer, Joseph Onwude, et al. "Ultrasound Reference Chart Based on IVF Dates to Estimate Gestational Age at 6–9 weeks’ Gestation." ISRN Obstetrics and Gynecology 2012 (July 22, 2012): 1–6. http://dx.doi.org/10.5402/2012/938583.

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Accurate determination of gestational age underpins good obstetric care. We assessed the performance of six existing ultrasound reference charts to determine gestational age in 1268 singleton IVF pregnancies, where “true” gestational age could be precisely calculated from date of fertilisation. All charts generated dates significantly different to IVF dates (P<0.0001 all comparisons). Thus we generated a new reference chart, The Monash Chart, based on a line of best fit describing crown-rump length across 6 + 1 to 9 + 0 weeks of gestation (true gestational age) in the IVF singleton cohort.

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Huay Woon, You. "A Comparative Analysis of Control Charts for Monitoring Process Mean." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 2616–22. http://dx.doi.org/10.17762/turcomat.v12i3.1263.

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Control charts serve as an effective tool for controlling and monitoring process quality in industries of production and service. The Shewhart chart is the first control chart that was used to detect large mean shifts in a process. Since then, to increase the Shewhart chart’s sensitivity, synthetic type control charts, such as synthetic control chart, side sensitive group runs (SSGR) control chart, have been proposed. SSGR chart ismore efficient compared to the Shewhart chart and synthetic chart,primarily due to the side sensitive feature in SSGR chart. Meanwhile, exponentially weighted moving

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Tomak, Leman, Yuksel Bek, and Yılmaz Tomak. "To Compare Time-Weighted Graphs to Evaluate the Inclination of the Acetabular Component of Patients Who Had Total Hip Replacement Surgery." BioMed Research International 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/129610.

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Time-weighted graphs are used to detect small shifts in statistical process control. The aim of this study is to evaluate the inclination of the acetabular component with CUmulative SUM (CUSUM) chart, Moving Average (MA) chart, and Exponentially Weighted Moving Average (EWMA) chart. The data were obtained directly from thirty patients who had undergone total hip replacement surgery at Ondokuz Mayis University, Faculty of Medicine. The inclination of the acetabular component of these people, after total hip replacement, was evaluated. CUSUM chart, Moving Average chart, and Exponentially Weighte

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El Shafie, Ali M., Zein A. L. Omar, Mai M. Bashir, et al. "Development and validation of Egyptian developmental screening chart for children from birth up to 30 months." PeerJ 8 (November 11, 2020): e10301. http://dx.doi.org/10.7717/peerj.10301.

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Background Detecting developmental delay in children is an ongoing world commitment, especially for those below three years. To accurately assess the development of children; a culturally appropriate screening tool must be used. Egypt lacks such tool and multiple studies have shown that western tools are not suitable in other cultures. Objectives To develop and validate an easy, rapid, culturally appropriate and applicable screening chart for early detection of developmental delay among Egyptian children from birth up to 30 months and develop a Z-score chart for motor and mental development fo

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Hussain, Shahid, Sun Mei, Muhammad Riaz, and Saddam Akber Abbasi. "On Phase-I Monitoring of Process Location Parameter with Auxiliary Information-Based Median Control Charts." Mathematics 8, no. 5 (2020): 706. http://dx.doi.org/10.3390/math8050706.

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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 chart with the assumption that the process is free from outliers or the estimators are correctly estimated from in-control samples. Generally, there are question marks about such kind of narratives. The performance of the mean chart is highly affected in the presence of outliers. Therefore, the median chart is an attractive alternative to the mean chart in this situation. T

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Engler, J., K. H. Tölle, H. H. Timm, E. Hohls, and J. Krieter. "Control charts applied to pig farming data." Archives Animal Breeding 52, no. 3 (2009): 272–83. http://dx.doi.org/10.5194/aab-52-272-2009.

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Abstract. Statistical control charts are effective tools to reveal changes in a production process. The CUSUM (cumulative sum) and the EWMA (exponentially weighted moving average) control chart are used to detect small deviations in a process. Data from two sow herds, herd A and herd B, were collected from 1999 to 2004. Farm A had an average number of 530 breeding sows, Farm B had an average of 370 breeding sows. Both herds were diagnosed with Porcine Reproductive and Respiratory Syndrome (PRRS). The weekly means of the number of piglets weaned (NPW), the pre-weaning mortality (PWM) and return

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Kerr, Adam J. "Navigation Chart Design." Journal of Navigation 38, no. 1 (1985): 56–70. http://dx.doi.org/10.1017/s0373463300038169.

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During the XIIth International Hydrographic Conference, held at Monaco in 1982, Anderson and this writer discussed Communication of the Nautical Chart. In that paper they traced the historical development of the nautical chart, noting how it had evolved and that features of the chart today had resulted more by evolution than by actual design. They noted, for instance, that although present-day charts are often produced by computer and make limited use of colour, they are not significantly different from charts produced some two hundred years ago. Computer methods have been used primarily to co

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Umar, Adamu A., Michael BC Khoo, Sajal Saha, and Abdul Haq. "A combined variable sampling interval and double sampling control chart with auxiliary information for the process mean." Transactions of the Institute of Measurement and Control 42, no. 6 (2019): 1151–65. http://dx.doi.org/10.1177/0142331219885525.

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In recent years, the suitable use of auxiliary information technique in control charts has shown an improved run length performance compared to control charts that do not have this feature. This article proposes a combined variable sampling interval (VSI) and double sampling (DS) chart using the auxiliary information (AI) technique (called VSIDS-AI chart, hereafter). The plotting-statistic of the VSIDS-AI chart requires information from both the study and auxiliary variables to efficiently detect process mean shifts. The charting statistics, optimal design and performance assessment of the VSI

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Resti, Aulia, Tatik Widiharih, and Rukun Santoso. "GRAFIK PENGENDALI MIXED EXPONENTIALLY WEIGHTED MOVING AVERAGE – CUMULATIVE SUM (MEC) DALAM ANALISIS PENGAWASAN PROSES PRODUKSI (Studi Kasus : Wingko Babat Cap “Moel”)." Jurnal Gaussian 10, no. 1 (2021): 114–24. http://dx.doi.org/10.14710/j.gauss.v10i1.30938.

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Quality control is an important role in industry for maintain quality stability. Statistical process control can quickly investigate the occurrence of unforeseen causes or process shifts using control charts. Mixed Exponentially Weighted Moving Average - Cumulative Sum (MEC) control chart is a tool used to monitor and evaluate whether the production process is in control or not. The MEC control chart method is a combination of the Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) charts. Combining the two charts aims to increase the sensitivity of the control chart in det

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Guo, Minyi. "Automatic transformation from data flow diagram to structure chart." ACM SIGSOFT Software Engineering Notes 22, no. 4 (1997): 44–49. http://dx.doi.org/10.1145/263244.263255.

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Muller, Andrei A., Victor Asavei, Alin Moldoveanu, et al. "The 3D Smith Chart: From Theory to Experimental Reality." IEEE Microwave Magazine 21, no. 11 (2020): 22–35. http://dx.doi.org/10.1109/mmm.2020.3014984.

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Araújo, Tiago, Paulo Chagas, João Alves, Carlos Santos, Beatriz Sousa Santos, and Bianchi Serique Meiguins. "A Real-World Approach on the Problem of Chart Recognition Using Classification, Detection and Perspective Correction." Sensors 20, no. 16 (2020): 4370. http://dx.doi.org/10.3390/s20164370.

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Data charts are widely used in our daily lives, being present in regular media, such as newspapers, magazines, web pages, books, and many others. In general, a well-constructed data chart leads to an intuitive understanding of its underlying data. In the same way, when data charts have wrong design choices, a redesign of these representations might be needed. However, in most cases, these charts are shown as a static image, which means that the original data are not usually available. Therefore, automatic methods could be applied to extract the underlying data from the chart images to allow th

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Silber, Jeffrey H., Paul R. Rosenbaum, Xuemei Zhang, and Orit Even-Shoshan. "Estimating Anesthesia and Surgical Procedure Times from Medicare Anesthesia Claims." Anesthesiology 106, no. 2 (2007): 346–55. http://dx.doi.org/10.1097/00000542-200702000-00024.

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Background Procedure times are important variables that often are included in studies of quality and efficiency. However, due to the need for costly chart review, most studies are limited to single-institution analyses. In this article, the authors describe how well the anesthesia claim from Medicare can estimate chart times. Methods The authors abstracted information on time of induction and entrance to the recovery room ("anesthesia chart time") from the charts of 1,931 patients who underwent general and orthopedic surgical procedures in Pennsylvania. The authors then merged the associated b

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Mardones, F., P. Rosso, L. Villarroel, et al. "Pregnancy outcomes and the use of two standards to assess adequacy of maternal body mass index in early gestation." Journal of Developmental Origins of Health and Disease 7, no. 1 (2015): 83–89. http://dx.doi.org/10.1017/s204017441500714x.

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The maternal weight gain chart proposed by Rosso and Mardones (RM) was subsequently modified by Atalah et al. (AEA). Both charts are widely used in Latin America. The purpose of this study was to compare birth length (BL) and birth weight (BW) outcomes of both charts. A prospective study of pregnant women and their offspring’s was performed in Santiago, Chile. From a total sample of 27,613 pregnant women a sub-sample of 11,465 term healthy singleton pregnant women was selected for additional analyses. κ statistics was used to study the degree of agreement of both charts in the diagnosis of mat

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DOKOUHAKI, PERSHANG, and RASSOUL NOOROSSANA. "SURVEILLANCE OF DIABETES PREVALENCE RATE THROUGH THE DEVELOPMENT OF A MARKOV-BASED CONTROL CHART." Journal of Mechanics in Medicine and Biology 12, no. 04 (2012): 1250083. http://dx.doi.org/10.1142/s0219519412500832.

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In the field of statistical process control (SPC), usually two issues are addressed; the variables and the attribute quality characteristics control charting. Focusing on discrete data generated from a process to be monitored, attributes control charts would be useful. The discrete data could be classified into two categories; the independent and auto-correlated data. Regarding the independence in the sequence of discrete data, the typical Shewhart-based control charts, such as p-chart and np-chart would be effective enough to monitor the related process. But considering auto-correlation in th

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Elevli, Sermin, Nevin Uzgören, Deniz Bingöl, and Birol Elevli. "Drinking water quality control: control charts for turbidity and pH." Journal of Water, Sanitation and Hygiene for Development 6, no. 4 (2016): 511–18. http://dx.doi.org/10.2166/washdev.2016.016.

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Water treatment processes are required to be in statistical control and capable of meeting drinking water specifications. Control charts are used to monitor the stability of quality parameters by distinguishing the in-control and out-of-control states. The basic assumption in standard applications of control charts is that observed data from the process are independent and identically distributed. However, the independence assumption is often violated in chemical processes such as water treatment. Autocorrelation, a measure of dependency, is a correlation between members of a series arranged i

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DEWIANTARI, NI KADEK YUNI, I. WAYAN SUMARJAYA, and G. K. GANDHIADI. "PETA KENDALI EWMA RESIDUAL PADA DATA BERAUTOKORELASI." E-Jurnal Matematika 8, no. 1 (2019): 64. http://dx.doi.org/10.24843/mtk.2019.v08.i01.p236.

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Control charts with autocorrelation can be overcome by creating control chart with residuals from the best forecasting model. EWMA control chart is a alternative to the Shewhart control chart when detecting small shifts. The purpose of this study is to make the best forecasting model to obtain residual, and see the stability of the rupiah exchange rate against US dollar using EWMA control chart with residual. The best model of the case is ARIMA (1,1,1). The results of the EWMA residual control chart with ? = 0.1 there is a pattern that makes the process unstable.

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Yang, Su Fen, and Barry C. Arnold. "Signal Detection for Process with Unknown Distribution." Advanced Materials Research 503-504 (April 2012): 1472–75. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1472.

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Control charts are effective tools for monitoring both manufacturing processes and service processes. Much service data comes from a process with variables having non-normal or unknown distributions. The commonly used Shewhart variable control charts which depend heavily on the normality assumption should not be applied here. Hence, an alternative is desired to handle these types of process data. In this paper, we propose a new Variance Chart based on a simple statistic to monitor process variance shifts. The sampling properties of the new monitoring statistic are explored. A numerical example

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Ilieş, Iulian, Deverick J. Anderson, Joseph Salem, Arthur W. Baker, Margo Jacobsen, and James C. Benneyan. "Large-scale empirical optimisation of statistical control charts to detect clinically relevant increases in surgical site infection rates." BMJ Quality & Safety 29, no. 6 (2019): 472–81. http://dx.doi.org/10.1136/bmjqs-2018-008976.

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ObjectiveSurgical site infections (SSIs) are common costly hospital-acquired conditions. While statistical process control (SPC) use in healthcare has increased, limited rigorous empirical research compares and optimises these methods for SSI surveillance. We sought to determine which SPC chart types and design parameters maximise the detection of clinically relevant SSI rate increases while minimising false alarms.DesignSystematic retrospective data analysis and empirical optimisation.MethodsWe analysed 12 years of data on 13 surgical procedures from a network of 58 community hospitals. Stati

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Aslam, Muhammad, G. Rao, Ali AL-Marshadi, and Chi-Hyuck Jun. "A Nonparametric HEWMA-p Control Chart for Variance in Monitoring Processes." Symmetry 11, no. 3 (2019): 356. http://dx.doi.org/10.3390/sym11030356.

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Control charts are considered as powerful tools in detecting any shift in a process. Usually, the Shewhart control chart is used when data follows the symmetrical property of a normal distribution. In practice, the data from the industry may follow a non-symmetrical distribution or an unknown distribution. The average run length (ARL) is a significant measure to assess the performance of the control chart. The ARL may mislead when the statistic is computed from an asymmetric distribution. To handle this issue, in this paper, an ARL-unbiased hybrid exponentially weighted moving average proporti

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Pirompugd, Worachest, and Somchai Wongwises. "Helical Capillary Tube Sizing Charts for All Mixture Ratios of R125, R134a and R32." International Journal of Air-Conditioning and Refrigeration 24, no. 04 (2016): 1650022. http://dx.doi.org/10.1142/s201013251650022x.

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This research presents two helical capillary tube sizing charts for R407C and R410A, two correction charts for another tube size, and a correction chart for all mixture ratios of R125, R134a and R32. These charts are obtained from the homogeneous flow model including the effect of gravitational force. It is verified by comparison with experimental data obtained from the published literature. From the model, the sizing charts for a diameter of 1.63[Formula: see text]mm, length of 2.03[Formula: see text]m, and helix diameter of 500[Formula: see text]mm are developed. Two charts for size correcti

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Susetyo, Budi, Anwar Fitrianto, and Lai Ming Choon. "NEW APPROACH FOR DETECTING SLIGHT SHIFT ON PROCESS MEAN IN CHIP RESISTOR PRODUCTION." Journal of Southwest Jiaotong University 56, no. 5 (2021): 59–66. http://dx.doi.org/10.35741/issn.0258-2724.56.5.6.

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This article highlights an alternative approach to identify a slight shift of the process mean for resistor production. Commonly, the industries use exponentially weighted moving average (EWMA) or classic I-MR charts for this kind of product. The parametric control chart consists of few underlying assumptions, especially observations that come from a normal distribution. A misleading conclusion was mainly made when non-normal distributed data were analyzed using a parametric control chart. A chip resistor manufacturing company provided the data for the study for future quality monitoring purpo

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Valsiner, Jaan. "From Cultural Psychology to GeroPsychology." GeroPsych 30, no. 4 (2017): 137–43. http://dx.doi.org/10.1024/1662-9647/a000174.

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Abstract. Both geropsychology and cultural psychology have been new branches of psychology that have established their distinctive roles over the last two decades. In this article, I chart out three major perspectives within cultural psychology – theory of social representations (Serge Moscovici), dialogical self theory (Hubert Hermans), and my own cultural psychology of semiotic dynamics, and suggest some directions for their joint roles in GeroPsychology.

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Umar Farouk, Abbas, Ismail Mohamad, and Hamisu Idi. "How Hotelling’s T² Control Chart Performed with the Autocorrelation Imposed when Controlled Correlation is Used." Applied Mechanics and Materials 554 (June 2014): 556–60. http://dx.doi.org/10.4028/www.scientific.net/amm.554.556.

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Control charts are made to identify assignable causes of difference that could exist in production processes. It is usually believed the probability distribution which represents the actual observations includes a known functional form and it is constant as time passes. However, in reality, observations obtained through continuous and discrete procedures in many cases are serially correlated. Autocorrelation not just breaks the actual independence assumption of conventional control charts, but also can impact the efficiency associated with control charts negatively. In this article, we are goi

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Baker, Arthur W., Nicole Nehls, Iulian Ilieş, James C. Benneyan, and Deverick J. Anderson. "85. Use of Dual Statistical Process Control Charts for Early Detection of Surgical Site Infection Outbreaks at a Community Hospital Network." Open Forum Infectious Diseases 6, Supplement_2 (2019): S4—S5. http://dx.doi.org/10.1093/ofid/ofz359.009.

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Abstract Background We recently showed that the empirical use of a combination of 2 moving average (MA) statistical process control (SPC) charts was highly sensitive and specific for detecting potentially important increases in surgical site infection (SSI) rates. We performed this follow-up study to examine the performance of these same SPC charts when applied to known SSI outbreaks. Methods We retrospectively applied 2 MA SPC charts to all 30 SSI outbreaks investigated from 2007 to 2015 in a network of over 50 community hospitals. These outbreaks were detected via routine SSI surveillance ac

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Yin, Ziyan, Jiayi Tong, Yong Chen, Rebecca A. Hubbard, and Cheng Yong Tang. "A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data." Journal of the American Medical Informatics Association 29, no. 1 (2021): 52–61. http://dx.doi.org/10.1093/jamia/ocab222.

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Abstract Objectives Electronic health records (EHR) are commonly used for the identification of novel risk factors for disease, often referred to as an association study. A major challenge to EHR-based association studies is phenotyping error in EHR-derived outcomes. A manual chart review of phenotypes is necessary for unbiased evaluation of risk factor associations. However, this process is time-consuming and expensive. The objective of this paper is to develop an outcome-dependent sampling approach for designing manual chart review, where EHR-derived phenotypes can be used to guide the selec

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Reddy, Y. C. Janardhan, and Thennarasu Kandavel. "Reply to Predicting Pharmacotherapy Outcome From a Retrospective Chart Study?" Journal of Clinical Psychiatry 68, no. 01 (2007): 167–68. http://dx.doi.org/10.4088/jcp.v68n0123b.

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Qu, XiaoYing, Ying Chen, ShuangQuan Zhang, et al. "Extending the nuclear chart by continuum: From oxygen to titanium." Science China Physics, Mechanics and Astronomy 56, no. 11 (2013): 2031–36. http://dx.doi.org/10.1007/s11433-013-5329-5.

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McMullen, Sherri L., Yow-Wu Wu, Tammy Austin-Ketch, and Mary G. Carey. "Transitioning the Premature Infant from Nonsupine to Supine Position Prior to Hospital Discharge." Neonatal Network 33, no. 4 (2014): 194–98. http://dx.doi.org/10.1891/0730-0832.33.4.194.

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Purpose: The purpose of this study was to document the clinical practice of transitioning the hospitalized premature infant to the supine position and determine if hospital policy influenced practice.Design: This study was a retrospective medical chart review.Sample: The charts were reviewed from two urban hospitals that had Level III NICUs in upstate New York.Main Outcome Variable: The outcome variable was to determine clinical practice of transitioning premature infants to the supine position.Results: The percentage of premature infants who were transitioned to the supine position at least 2

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Aslam, Muhammad, G. Srinivasa Rao, Muhammad Saleem, Rehan Ahmad Khan Sherwani, and Chi-Hyuck Jun. "Monitoring Mortality Caused by COVID-19 Using Gamma-Distributed Variables Based on Generalized Multiple Dependent State Sampling." Computational and Mathematical Methods in Medicine 2021 (April 22, 2021): 1–17. http://dx.doi.org/10.1155/2021/6634887.

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More recently in statistical quality control studies, researchers are paying more attention to quality characteristics having nonnormal distributions. In the present article, a generalized multiple dependent state (GMDS) sampling control chart is proposed based on the transformation of gamma quality characteristics into a normal distribution. The parameters for the proposed control charts are obtained using in-control average run length (ARL) at specified shape parametric values for different specified average run lengths. The out-of-control ARL of the proposed gamma control chart using GMDS s

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Brutschin, Vanessa, Monika Kogej, Sylvia Schacher, Moritz Berger, and Ingo Gräff. "The presentational flow chart “unwell adult” of the Manchester Triage System—Curse or blessing?" PLOS ONE 16, no. 6 (2021): e0252730. http://dx.doi.org/10.1371/journal.pone.0252730.

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Background The presentational flow chart “unwell adult” of the Manchester Triage System (MTS) occupies a special role in this triage system, defined as the nonspecific presentation of an emergency patient. Current scientific studies show that a considerable proportion of emergency room patients present with so-called "nonspecific complaints". The aim of the present study is to investigate in detail the initial assessment of emergency patients triaged according to the presentational flow chart "unwell adult". Methods Monocentric, retrospective observational study. Results Data on 14,636 emergen

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Pervaiz, Hafiz Zain, Syed Muhammad Muslim Raza, Muhammad Moeen Butt, Saira Sharif, and Muhammad Haider. "A New Hybrid Exponentially Weighted Moving Average control chart using Mixture Ratio Estimator of Mean." Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences 58, no. 2 (2021): 45–57. http://dx.doi.org/10.53560/ppasa(58-2)606.

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In this paper, we propose a Hybrid Exponentially Weighted Moving Average (HEWMA) control chart based on a mixture ratio estimator of mean using a single auxiliary variable and a single auxiliary attribute (Moeen et al., [1]). We call it as Z- HEWMA control chart. The proposed control chart performance is evaluated using outof- control-Average Run Length (ARL1). The control limits of the proposed chart is based on estimator, its mean square errors. A simulated example is used to compare the proposed Z-HEWMA, traditional/simple EWMA chart and CUSUM control chart. From this study the fact is reve

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Ji-Xu, A., C. Moezinia, N. Lovett, and D. Krishan Sharma. "18 The Use of A Multifactorial Intervention to Improve Bowel Chart Recording and Laxative Prescription in A Tertiary Geriatrics Department." Age and Ageing 49, Supplement_1 (2020): i1—i8. http://dx.doi.org/10.1093/ageing/afz183.18.

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Abstract Introduction Constipation has a high prevalence of 30-40% in those aged over 65. It can lead to complications including delirium, faecal impaction, stercoral ulceration, and bowel obstruction. Although stool charts are used in geriatric wards to monitor bowel movements to guide management of constipation, they are often inconsistently recorded. Similarly, regular laxatives are often not prescribed for constipated patients due to ward pressures or unawareness regarding their importance. Aims Our aims were to audit the rates of recording on stool charts and laxative prescription in a ge

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Noskievičová, Darja, and Tereza Smajdorová. "Proposal of Methodology for Practical Application of Nonparametric Control Charts." Quality Production Improvement - QPI 1, no. 1 (2019): 464–71. http://dx.doi.org/10.2478/cqpi-2019-0063.

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Abstract This paper deals with the methodology for practical application of nonparametric control charts. This topic is very important for two reasons: firstly nonparametric control charts are very effective instruments for the realization of the statistical process monitoring phase I due to their robustness against various deviations from the data assumptions that must be met when applying model-based control charts. Secondly nonparametric control charts have very weak SW support and also they are not taught in the frame of training courses not even of the university study programmes. For tha

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Raji, Ishaq Adeyanju, Nasir Abbas, Mu’azu Ramat Abujiya, and Muhammad Riaz. "Robust Multivariate Shewhart Control Chart Based on the Stahel-Donoho Robust Estimator and Mahalanobis Distance for Multivariate Outlier Detection." Mathematics 9, no. 21 (2021): 2772. http://dx.doi.org/10.3390/math9212772.

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While researchers and practitioners may seamlessly develop methods of detecting outliers in control charts under a univariate setup, detecting and screening outliers in multivariate control charts pose serious challenges. In this study, we propose a robust multivariate control chart based on the Stahel-Donoho robust estimator (SDRE), whilst the process parameters are estimated from phase-I. Through intensive Monte-Carlo simulation, the study presents how the estimation of parameters and presence of outliers affect the efficacy of the Hotelling T2 chart, and then how the proposed outlier detect

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Similä, M., M. Mäkynen, B. Cheng, and E. Rinne. "Multisensor data and thermodynamic sea-ice model based sea-ice thickness chart with application to the Kara Sea, Arctic Russia." Annals of Glaciology 54, no. 62 (2013): 241–52. http://dx.doi.org/10.3189/2013aog62a163.

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AbstractWe introduce a method to construct an ice thickness chart using two satellite datasets and a one-dimensional high-resolution thermodynamic snow and sea-ice model (HIGHTSI). Thin-ice thickness up to 40 cm is retrieved using MODIS ice surface temperature data. For thicker ice, thickness is retrieved from a combination of SAR image and background level ice thickness chart Hi provided by HIGHTSI. Because Hi is inherently static, we utilize passive microwave data based sea-ice concentration charts to introduce mesoscale ice dynamics into Hi. In order to create the thickness chart, the value

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Mehmood, Rashid, Muhammad Riaz, Iftikhar Ali, and Muhammad Hisyam Lee. "Generalized Hotelling T2 control chart based on bivariate ranked set techniques with runs rules." Transactions of the Institute of Measurement and Control 43, no. 10 (2021): 2180–95. http://dx.doi.org/10.1177/0142331221992670.

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In this study, we have introduced a generalized Hotelling T2 control chart based on bivariate ranked set techniques with runs rules to identify small and moderate variations in a process mean vector. To achieve this aim, plotting statistic and control limits are formulated in generalized approaches. For evaluation purposes, power and power curves are used as performance indicators. Afterwards, power curves are drawn through Monte Carlo simulation procedures by taking into account different choices of factors. A detailed discussion about the role of factors on the performance of the proposed ge

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Su-Fen, Yang, Tsai Wen-Chi, Huang Tzee-Ming, Yang Chi-Chin, and Cheng Smiley. "Monitoring process mean with a new EWMA control chart." Production 21, no. 2 (2011): 217–22. http://dx.doi.org/10.1590/s0103-65132011005000026.

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In practice, sometimes the process data did not come from a known population distribution. So the commonly used Shewhart variables control charts are not suitable since their performance could not be properly evaluated. In this paper, we propose a new EWMA Control Chart based on a simple statistic to monitor the small mean shifts in the process with non-normal or unknown distributions. The sampling properties of the new monitoring statistic are explored and the average run lengths of the proposed chart are examined. Furthermore, an Arcsine EWMA Chart is proposed since the average run lengths o

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Kopanz, Julia, Gerald Sendlhofer, Katharina Lichtenegger, et al. "Evaluation of an implemented new insulin chart to improve quality and safety of diabetes care in a large university hospital: a follow-up study." BMJ Open 11, no. 1 (2021): e041298. http://dx.doi.org/10.1136/bmjopen-2020-041298.

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ObjectivesTo evaluate structure, documentation, treatment quality of a new implemented standardised insulin chart in adult medical inpatient wards at a university hospital.DesignA before–after study (3 to 5 months after implementation) was used to compare the quality of old versus new insulin charts.SettingUniversity Hospital Graz, Austria.ParticipantsHealthcare professionals (n=237) were questioned regarding structure quality of blank insulin charts.InterventionsA new standardised insulin chart was implemented and healthcare professionals were trained regarding features of this chart. Data fr

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Tran, Kim Phuc, Philippe Castagliola, Thi Hien Nguyen, and Anne Cuzol. "Design of a Variable Sampling Interval EWMA Median Control Chart." International Journal of Reliability, Quality and Safety Engineering 26, no. 05 (2019): 1950021. http://dx.doi.org/10.1142/s0218539319500219.

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In the literature, median type control charts have been widely investigated as easy and efficient means to monitor the process mean when observations are from a normal distribution. In this work, a Variable Sampling Interval (VSI) Exponentially Weighted Moving Average (EWMA) median control chart is proposed and studied. The Markov chains are used to calculate the average run length to signal (ARL). A performance comparison with the original EWMA median control chart is made. The numerical results show that the proposed chart is considerably more effective as it is faster in detecting process s

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Skopeliti, Andriani, Leda Stamou, Lysandros Tsoulos, and Shachak Pe’eri. "Generalization of Soundings across Scales: From DTM to Harbour and Approach Nautical Charts." ISPRS International Journal of Geo-Information 9, no. 11 (2020): 693. http://dx.doi.org/10.3390/ijgi9110693.

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This paper presents an integrated digital methodology for the generalization of soundings. The input for the sounding generalization procedure is a high resolution Digital Terrain Model (DTM) and the output is a sounding data set appropriate for portrayal on harbour and approach Electronic Navigational Charts (ENCs). The sounding generalization procedure follows the “ladder approach” that is a requisite for the portrayal of soundings on nautical charts, i.e., any sounding portrayed on a smaller scale chart should also be depicted on larger scale charts. A rhomboidal fishnet is used as a suppor

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HUMAN, S. W., and S. CHAKRABORTI. "A UNIFIED APPROACH FOR SHEWHART-TYPE PHASE I CONTROL CHARTS FOR THE MEAN." International Journal of Reliability, Quality and Safety Engineering 17, no. 03 (2010): 199–208. http://dx.doi.org/10.1142/s0218539310003755.

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The false alarm probability (FAP) is the metric typically used to design and evaluate the performance of Phase I control charts. It is shown that in situations where the exact or the asymptotic joint p.d.f. of the standardized charting statistics follows a singular standard multivariate normal distribution with a common negative correlation, the FAP of some Shewhart-type Phase I charts for the mean can be expressed as a multiple integral of the joint p.d.f. Hence the required charting constants can be calculated (and the control chart can be implemented) by evaluating this integral. A table wi

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Hung, Chih-Chieh, and Ying-Ju Chen. "DPP: Deep predictor for price movement from candlestick charts." PLOS ONE 16, no. 6 (2021): e0252404. http://dx.doi.org/10.1371/journal.pone.0252404.

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Forecasting the stock market prices is complicated and challenging since the price movement is affected by many factors such as releasing market news about earnings and profits, international and domestic economic situation, political events, monetary policy, major abrupt affairs, etc. In this work, a novel framework: deep predictor for price movement (DPP) using candlestick charts in the stock historical data is proposed. This framework comprises three steps: 1. decomposing a given candlestick chart into sub-charts; 2. using CNN-autoencoder to acquire the best representation of sub-charts; 3.

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Islaha, Achmad Fadli, and Atikha Sidhi Cahyana. "Upaya Peningkatan Produktivitas Dengan Meminimasi Waste Menggunakan From To Chart (FTC)." PROZIMA (Productivity, Optimization and Manufacturing System Engineering) 1, no. 2 (2018): 107. http://dx.doi.org/10.21070/prozima.v1i2.1289.

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Sebagai salah satu perusahaan yang bergerak di bidang pengolahan hasil laut, PT.XYZ merupakan sebuah pabrik pembuat tepung rumput laut, yang dalam perkembangannya terus melakukan perbaikan secara terus menerus demi tercapainya hasil produksi tepung rumput laut yang berkualitas. Akan tetapi dalam segi produktivitas perusahaan beberapa kendala dari beberapa faktor,terutama dari segi efektifitas dan terdapat banyaknya waste.Dengan dilakukannya penelitian ini yang bertujuan untuk mengetahui area-area yang teridentifikasi sebagai waste dan juga meningkatkan produktivitas mesin-mesin produksi dengan

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Cole, Tim J., and Charlotte M. Wright. "A chart to predict adult height from a child's current height." Annals of Human Biology 38, no. 6 (2011): 662–68. http://dx.doi.org/10.3109/03014460.2011.598189.

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Chu, Hsing-Wei, and Phadhana Tosirisuk. "Process decision program chart: from operations research to total quality control." Computers & Industrial Engineering 21, no. 1-4 (1991): 111–15. http://dx.doi.org/10.1016/0360-8352(91)90073-f.

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Aslam, Muhammad, Nasrullah Khan, and Muhammad Khan. "Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method." Symmetry 10, no. 11 (2018): 562. http://dx.doi.org/10.3390/sym10110562.

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Existing variance control charts are designed under the assumptions that no uncertain, fuzzy and imprecise observations or parameters are in the population or the sample. Neutrosophic statistics, which is the extension of classical statistics, has been widely used when there is uncertainty in the data. In this paper, we will originally design S 2 control chart under the neutrosophic interval methods. The complete structure of the neutrosophic S 2 control chart will be given. The necessary measures of neutrosophic S 2 will be given. The neutrosophic coefficient of S 2 control chart will be dete

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Coulthard, Macolm G. "Single blood pressure chart for children up to 13 years to improve the recognition of hypertension based on existing normative data." Archives of Disease in Childhood 105, no. 8 (2020): 778–83. http://dx.doi.org/10.1136/archdischild-2019-317993.

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ObjectiveTo produce a single ‘growth-chart-style’ blood pressure (BP) chart with clear diagnostic thresholds to assist paediatricians to make prompt and accurate diagnoses of hypertension.DesignThe well-established but complex published data on normal BP ranges in prepubertal children were identified and analysed to determine if it was possible to produce a single, user-friendly, colour-coded chart, showing diagnostic hypertension thresholds for systolic and diastolic BP without losing clinically important information.ResultsThere were sufficient published normative childhood BP data available

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Prabha, Chandra, Ratan Kr Srivastava, and Manoj Kumar Gupta. "Skill up; gradation of anganwadi workers pertaining to growth chart plotting and interpretation in rural areas of Varanasi district, India." International Journal of Research in Medical Sciences 7, no. 12 (2019): 4635. http://dx.doi.org/10.18203/2320-6012.ijrms20195530.

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Background: The task of using the growth chart by Anganwadi Workers (AWWs) for growth monitoring requires technical skill. It was hypothesized that skill up-gradation can make a difference in the performance of AWWs in regard with growth monitoring. The aim of the study was to evaluate the effect of intervention in improving skill of AWWs regarding growth chart plotting and interpretation.Methods: It was a field based interventional study, which was conducted in rural areas of Varanasi district, India. A total of 66 AWWs each from Chiraigaon (intervention) and Cholapur (control) community deve

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