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Статті в журналах з теми "Statistical Process control chart":
Wang, Hai Yu. "Statistical Process Control on Time Delay Feedback Adjustment Process." Advanced Materials Research 211-212 (February 2011): 305–9. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.305.
Benková, Marta, Dagmar Bednárová, Gabriela Bogdanovská, and Marcela Pavlíčková. "Use of Statistical Process Control for Coking Time Monitoring." Mathematics 11, no. 16 (August 8, 2023): 3444. http://dx.doi.org/10.3390/math11163444.
Rashid, Kawa. "Design Tukey’s Control Chart and mix with CUSUM Control Chart." Journal of Zankoy Sulaimani - Part A 24, no. 1 (June 20, 2022): 55–66. http://dx.doi.org/10.17656/jzs.10869.
Avakh Darestani, Soroush, and Mina Nasiri. "Statistical process control." International Journal of Quality & Reliability Management 33, no. 1 (December 31, 2015): 2–24. http://dx.doi.org/10.1108/ijqrm-08-2013-0130.
Aslam, Muhammad, Nasrullah Khan, and Muhammad Khan. "Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method." Symmetry 10, no. 11 (November 1, 2018): 562. http://dx.doi.org/10.3390/sym10110562.
Vicentin, Damaris Serigatto, Brena Bezerra Silva, Isabela Piccirillo, Fernanda Campos Bueno, and Pedro Carlos Oprime. "Monitoring process control chart with finite mixture probability distribution." International Journal of Quality & Reliability Management 35, no. 2 (February 5, 2018): 335–53. http://dx.doi.org/10.1108/ijqrm-11-2016-0196.
Thepvongs, Somchart, and Brian M. Kleiner. "Inspection in Process Control." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 16 (October 1998): 1170–74. http://dx.doi.org/10.1177/154193129804201619.
Omar, M. Hafidz, Sheikh Y. Arafat, M. Pear Hossain, and Muhammad Riaz. "Inverse Maxwell Distribution and Statistical Process Control: An Efficient Approach for Monitoring Positively Skewed Process." Symmetry 13, no. 2 (January 25, 2021): 189. http://dx.doi.org/10.3390/sym13020189.
Gloi, Aime M., Vladimir Stankovich, Stanley Mayas, and Benjamin Rodriguez. "Statistical process control: machine performance check output variation." International Journal of Research in Medical Sciences 11, no. 7 (June 30, 2023): 2365–71. http://dx.doi.org/10.18203/2320-6012.ijrms20232072.
Niezgoda, Janusz. "The Use of Statistical Process Control Tools for Analysing Financial Statements." Folia Oeconomica Stetinensia 17, no. 1 (June 27, 2017): 129–37. http://dx.doi.org/10.1515/foli-2017-0010.
Дисертації з теми "Statistical Process control chart":
SIMOES, BRUNO FRANCISCO TEIXEIRA. "EWMA CHART WITH ADAPTIVE SMOOTHING CONSTANT FOR STATISTICAL PROCESS CONTROL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8189@1.
Este trabalho propõe um gráfico de controle EWMA para observações individuais ou médias amostrais, com a constante de amortecimento variando entre dois valores de acordo com o valor mais recente da estatística EWMA, para obter detecção mais rápida de alterações pequenas a moderadas na média do processo, e sem a complexidade operacional apresentada por outros esquemas adaptativos, pois o tamanho da amostra e o intervalo de amostragem são mantidos fixos. Já existe um outro trabalho propondo a variação da constante de amortecimento dos gráficos EWMA, mas com base em outro critério: Capizzi e Masarotto (2003). O esquema EWMA adaptativo foi combinado com limites de Shewhart para os valores individuais (ou médias amostrais), para acelerar a detecção de grandes deslocamentos da média do processo, também sem aumento da complexidade operacional. Os NMA1´s - números esperados de amostras até um sinal verdadeiro - foram calculados por um método de aproximação numérica usando um modelo matemático por cadeias de Markov, e comparados com os do esquema EWMA tradicional (com parâmetros fixos) e com os do esquema adaptativo de Capizzi e Masarotto (2003). O esquema proposto tende a fornecer NMA1´s menores para alterações na média acima de 1,0 desvio-padrão, e o esquema de Capizzi e Masarotto (2003) tende a fornecer NMA1´s menores para pequenas alterações. Ambos os esquemas possuem melhor desempenho que o gráfico EWMA com parâmetros fixos. Uma vantagem que pode se tornar decisiva para a adoção do esquema proposto é a simplicidade dos cálculos requeridos para o monitoramento.
This work proposes an EWMA process control chart for individual observations or subgroup averages, in which the smoothing constant varies between two values according to the most recent value of the EWMA statistic, in order to achieve faster detection of small to moderate shifts in the process mean, and without the operational complexities presented by other adaptive schemes, since its sample size and sampling interval do not vary. There is one other work proposing the adaptive variation of the smoothing constant of EWMA charts, but based on a different criterion: Capizzi and Masarotto (2003). The adaptive EWMA scheme was combined with Shewhart limits for the individual values (or subgroup averages), to enhance its sensitivity to large shifts, again with no extra operational burden. The out-of-control average run lengths (ARL1´s) were calculated through a numerical approximation method based on a Markov chain model. The ARL1´s were compared of the proposed scheme, of the traditional (fixed parameter) EWMA chart and of Capizzi and Masarottos´s adaptive EWMA scheme. The proposed scheme generally provides the shortest ARL1´s for shifts in the mean above one standard deviation, and Capizzi and Masarotto´s scheme tends to outperform it for smaller shifts. Both schemes perform better than the fixed parameter EWMA. An advantage that can become decisive for the adoption of the proposed scheme is the simplicity of the calculations required for the monitoring.
Sundholm, Per. "Statistical Process Control for the Sawmill Industry." Thesis, Umeå universitet, Institutionen för fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-112046.
Det kan vara mycket lönsamt för sågverk att övervaka mått på plankor så att personal snabbt kan hitta och åtgärda fel som uppstår i processen. I det syftet har det här masterarbetet gått ut på att implementera statistisk processkontroll (SPC) för råmåttkontroll på sågverk. SPC är en mängd olika statistiska metoder vars syfte är att minimera spridningen i en tillverkningsprocess. Den metod som är i speciellt focus i det här arbetet är det så kallade styrdiagrammet som med en övre och undre gräns kvantifierar hur stor den naturligt förekommande spridningen är. För att finna det mest lämpade styrdiagrammet utvärderades fem styrdiagram som övervakar processens medelvärde och två styrdiagram som övervakar processens spridning. Denna utvärdering bestod både av en simuleringsstudie och tester gjorda för empiriskt data. Utvärderingen resulterade i att det så kallade ”Average Moving Range” diagrammet rekommenderades för övervakning av medelvärde och ett räckviddsstyrdiagram rekommenderades för spridningen. Båda styrdiagrammen konstruerades för enskilda plankor och inte för stickprov av flera plankor (vilket är vanligare) på grund av kompatibelitetsskäl med gängse mätmetodik. De båda metoderna ansågs vara ganska bra på att upptäcka processförändringar men vissa resultat tyder på att metoderna kanske fungerar bättre för sågverk med mötande klingor än enaxliga sågverk.
Ouyang, Jintao. "Cumulative quantity control chart and maintenance strategies for industrial processes." Thesis, Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B31121184.
el, homani Abdellatif. "NOVEL APPROACHES FOR STATISTICAL PROCESS CONTROL CHARTS PATTERN RECOGNITION." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/dissertations/152.
Kirbas, Serkan. "An Assessment And Analysis Tool For Statistical Process Control Of Software Processes." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608196/index.pdf.
Chin, Chang-Ho. "Optimal filter design approaches to statistical process control for autocorrelated processes." Texas A&M University, 2004. http://hdl.handle.net/1969.1/2776.
Wilson, Sara R. "Control Charts with Missing Observations." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/37623.
Ph. D.
Park, Yongro. "A statistical process control approach for network intrusion detection." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6835.
Liu, Qingyun. "Statistical Process Control for the Fairness of Network Resource Distribution." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/518.
Šváchová, Mariana. "Určování způsobilosti a stability vybraného technického procesu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417798.
Книги з теми "Statistical Process control chart":
Wheeler, Donald J. Advanced topics in statistical process control: The power of Shewhart's charts. Knoxville, Tenn: SPC Press, 1995.
Meijer, Rob R. The use of statistical process control-charts for person-fit analysis in computerized adaptive testing. Newtown, Pa: Law School Admission Council, 2003.
Wise, Stephen A. Innovative control charting: Practical SPC solutions for today's manufacturing environment. Milwaukee, Wis: ASQ Quality Press, 1998.
Oakland, John S. Statistical process control. 5th ed. Oxford: Butterworth-Heinemann, 2003.
Stephen, Mundwiller. Statistical Process Control. Boca Raton : CRC Press, Taylor & Francis Group, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351248518.
Oakland. Statistical Process Control. 7th edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315160511.
Wetherill, G. Barrie, and Don W. Brown. Statistical Process Control. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2949-5.
Oakland, John S. Statistical process control. 6th ed. Burlington, MA: Butterworth-Heinemann, 2008.
Liu, Huamin. Statistical process control. Birmingham: University of Birmingham, 1988.
Oakland, John S. Statistical process control. 3rd ed. Oxford: Butterworth-Heinemann, 1996.
Частини книг з теми "Statistical Process control chart":
Oakland, John, and Robert Oakland. "Cumulative sum (cusum) charts." In Statistical Process Control, 218–43. 7th ed. 7th edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315160511-9.
Wetherill, G. Barrie, and Don W. Brown. "Basic Shewhart control charts for continuous variables." In Statistical Process Control, 85–113. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2949-5_5.
Oakland, John, and Robert Oakland. "Other types of control charts for variables." In Statistical Process Control, 149–87. 7th ed. 7th edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315160511-7.
Wetherill, G. Barrie, and Don W. Brown. "The design of control charts from specification limits." In Statistical Process Control, 192–211. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2949-5_9.
Wetherill, G. Barrie, and Don W. Brown. "Further theoretical results on control charts for continuous variables." In Statistical Process Control, 170–91. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2949-5_8.
Wetherill, G. Barrie, and Don W. Brown. "Extensions to Shewhart charts for one-at-a-time data." In Statistical Process Control, 114–37. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2949-5_6.
Reynolds, Marion R., and Jianying Lou. "A GLR Control Chart for Monitoring the Process Variance." In Frontiers in Statistical Quality Control 10, 3–17. Heidelberg: Physica-Verlag HD, 2012. http://dx.doi.org/10.1007/978-3-7908-2846-7_1.
Stolpa, James W. "Statistical Process Control and Control Charts." In 60th Porcelain Enamel Institute Technical forum: Ceramic Engineering and Science Proceedings, Volume 19, Issue 5, 25–27. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2008. http://dx.doi.org/10.1002/9780470294512.ch7.
Yang, Su-Fen, and Shan-Wen Lu. "An Average Loss Control Chart Under a Skewed Process Distribution." In Frontiers in Statistical Quality Control 13, 65–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67856-2_5.
Kawamura, Hironobu, Ken Nishina, and Tomomichi Suzuki. "Process Adjustment Control Chart for Simultaneous Monitoring of Process Capability and State of Statistical Control." In Frontiers in Statistical Quality Control 10, 121–30. Heidelberg: Physica-Verlag HD, 2012. http://dx.doi.org/10.1007/978-3-7908-2846-7_9.
Тези доповідей конференцій з теми "Statistical Process control chart":
Bringhurst, Katlynn, Joel Walter, and Scott Best. "CAATS – Automotive Wind Tunnel Statistical Process Control." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2542.
Khan, Mansoor S., and Lirong Cui. "Statistical process control based chart for information systems security." In Seventh International Conference on Digital Image Processing (ICDIP15), edited by Charles M. Falco and Xudong Jiang. SPIE, 2015. http://dx.doi.org/10.1117/12.2197092.
Fong, Sze Jeeu, Sze San Nah, and Pooi Ah Hin. "New control chart for multivariate process." In 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE2012). IEEE, 2012. http://dx.doi.org/10.1109/icssbe.2012.6396609.
Huat, Ng Kooi, and Habshah Midi. "Robust control chart for change point detection of process variance in the presence of disturbances." In THE 2ND ISM INTERNATIONAL STATISTICAL CONFERENCE 2014 (ISM-II): Empowering the Applications of Statistical and Mathematical Sciences. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4907463.
Xu, Yafei, and Ostap Okhrin. "A Nonparametric Multivariate Statistical Process Control Chart Based on Change Point Model." In Annual Meeting of the International Society for Data Science and Analytics. ISDSA Press, 2020. http://dx.doi.org/10.35566/isdsa2019c2.
Amayri, Manar, Stephane Ploix, Fatma Najar, Nizar Bouguila, and Frederic Wurtz. "A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings." In 2019 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019. http://dx.doi.org/10.1109/ssci44817.2019.9002873.
Hayati, F., S. Maghsoodloo, and C. Lemiere. "98. Statistical Process Control Chart for Monitoring of Lung Function in Occupational Asthma." In AIHce 2004. AIHA, 2004. http://dx.doi.org/10.3320/1.2758313.
Rickli, Jeremy, and Jaime Camelio. "Monitoring and Diagnosis of Assembly Fixture Faults Using Modified Multivariate Control Charts and Surface Scanning Content." In ASME 2007 International Manufacturing Science and Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/msec2007-31075.
Wang, Haiyan. "A New Method for Feature Selection in Pattern Recognition of Statistical Process Control Chart." In 2022 China Automation Congress (CAC). IEEE, 2022. http://dx.doi.org/10.1109/cac57257.2022.10056087.
Heryanto, Andika Yuli. "Bakpia Quality Control Analysis Using the Statistical Quality Control (SQC) Method (Case Study: SMEs Bakpia Latief, Kediri<i>)</i>." In The 6th International Conference on Science and Engineering. Switzerland: Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-fzb5j6.
Звіти організацій з теми "Statistical Process control chart":
Pulsipher, B. A., and W. L. Kuhn. Statistical process control applied to the liquid-fed ceramic melter process. Office of Scientific and Technical Information (OSTI), September 1987. http://dx.doi.org/10.2172/5988542.
Krajcsik, Stephen. The Use of Statistical Methods in Dimensional Process Control. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada444590.
Dessouky, M. I., R. E. DeVor, and S. S. Kapoor. Statistical Process Control for Evaluating Contract Service at Army Installations. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada228405.
CROWDER, STEPHEN V. Small Sample Properties of an Adaptive Filter with Application to Low Volume Statistical Process Control. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/12655.
Tarko, Andrew P., Mario Romero, Cristhian Lizarazo, and Paul Pineda. Statistical Analysis of Safety Improvements and Integration into Project Design Process. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317121.
Willson. L51756 State of the Art Intelligent Control for Large Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 1996. http://dx.doi.org/10.55274/r0010423.
Khvostina, Inesa, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko, and Ekaterina Shmeltser. Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4120.
Rans. PR-352-11703-R01 Maintenance and Test Intervals for Primary and Secondary Measurement Equipment. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 2013. http://dx.doi.org/10.55274/r0010801.
Gustafsson, Marcus, and Stephanie Cordova. Värdeskapande av koldioxid från biogasproduktion. Linköping University Electronic Press, September 2023. http://dx.doi.org/10.3384/9789180753838.
Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepctb38.