Auswahl der wissenschaftlichen Literatur zum Thema „Statistical Process control chart“
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Zeitschriftenartikel zum Thema "Statistical Process control chart"
Wang, Hai Yu. „Statistical Process Control on Time Delay Feedback Adjustment Process“. Advanced Materials Research 211-212 (Februar 2011): 305–9. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.305.
Der volle Inhalt der QuelleBenková, Marta, Dagmar Bednárová, Gabriela Bogdanovská und Marcela Pavlíčková. „Use of Statistical Process Control for Coking Time Monitoring“. Mathematics 11, Nr. 16 (08.08.2023): 3444. http://dx.doi.org/10.3390/math11163444.
Der volle Inhalt der QuelleRashid, Kawa. „Design Tukey’s Control Chart and mix with CUSUM Control Chart“. Journal of Zankoy Sulaimani - Part A 24, Nr. 1 (20.06.2022): 55–66. http://dx.doi.org/10.17656/jzs.10869.
Der volle Inhalt der QuelleAvakh Darestani, Soroush, und Mina Nasiri. „Statistical process control“. International Journal of Quality & Reliability Management 33, Nr. 1 (31.12.2015): 2–24. http://dx.doi.org/10.1108/ijqrm-08-2013-0130.
Der volle Inhalt der QuelleAslam, Muhammad, Nasrullah Khan und Muhammad Khan. „Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method“. Symmetry 10, Nr. 11 (01.11.2018): 562. http://dx.doi.org/10.3390/sym10110562.
Der volle Inhalt der QuelleVicentin, Damaris Serigatto, Brena Bezerra Silva, Isabela Piccirillo, Fernanda Campos Bueno und Pedro Carlos Oprime. „Monitoring process control chart with finite mixture probability distribution“. International Journal of Quality & Reliability Management 35, Nr. 2 (05.02.2018): 335–53. http://dx.doi.org/10.1108/ijqrm-11-2016-0196.
Der volle Inhalt der QuelleThepvongs, Somchart, und Brian M. Kleiner. „Inspection in Process Control“. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, Nr. 16 (Oktober 1998): 1170–74. http://dx.doi.org/10.1177/154193129804201619.
Der volle Inhalt der QuelleOmar, M. Hafidz, Sheikh Y. Arafat, M. Pear Hossain und Muhammad Riaz. „Inverse Maxwell Distribution and Statistical Process Control: An Efficient Approach for Monitoring Positively Skewed Process“. Symmetry 13, Nr. 2 (25.01.2021): 189. http://dx.doi.org/10.3390/sym13020189.
Der volle Inhalt der QuelleGloi, Aime M., Vladimir Stankovich, Stanley Mayas und Benjamin Rodriguez. „Statistical process control: machine performance check output variation“. International Journal of Research in Medical Sciences 11, Nr. 7 (30.06.2023): 2365–71. http://dx.doi.org/10.18203/2320-6012.ijrms20232072.
Der volle Inhalt der QuelleNiezgoda, Janusz. „The Use of Statistical Process Control Tools for Analysing Financial Statements“. Folia Oeconomica Stetinensia 17, Nr. 1 (27.06.2017): 129–37. http://dx.doi.org/10.1515/foli-2017-0010.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleEste 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.
Der volle Inhalt der QuelleDet 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.
Der volle Inhalt der Quelleel, homani Abdellatif. „NOVEL APPROACHES FOR STATISTICAL PROCESS CONTROL CHARTS PATTERN RECOGNITION“. OpenSIUC, 2010. https://opensiuc.lib.siu.edu/dissertations/152.
Der volle Inhalt der QuelleKirbas, 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.
Der volle Inhalt der QuelleChin, 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.
Der volle Inhalt der QuelleWilson, Sara R. „Control Charts with Missing Observations“. Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/37623.
Der volle Inhalt der QuellePh. D.
Park, Yongro. „A statistical process control approach for network intrusion detection“. Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6835.
Der volle Inhalt der QuelleLiu, Qingyun. „Statistical Process Control for the Fairness of Network Resource Distribution“. FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/518.
Der volle Inhalt der QuelleŠváchová, 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.
Der volle Inhalt der QuelleBücher zum Thema "Statistical Process control chart"
Advanced topics in statistical process control: The power of Shewhart's charts. Knoxville, Tenn: SPC Press, 1995.
Den vollen Inhalt der Quelle findenMeijer, Rob R. The use of statistical process control-charts for person-fit analysis in computerized adaptive testing. Newtown, Pa: Law School Admission Council, 2003.
Den vollen Inhalt der Quelle findenWise, Stephen A. Innovative control charting: Practical SPC solutions for today's manufacturing environment. Milwaukee, Wis: ASQ Quality Press, 1998.
Den vollen Inhalt der Quelle findenOakland, John S. Statistical process control. 5. Aufl. Oxford: Butterworth-Heinemann, 2003.
Den vollen Inhalt der Quelle findenStephen, Mundwiller. Statistical Process Control. Boca Raton : CRC Press, Taylor & Francis Group, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351248518.
Der volle Inhalt der QuelleOakland. Statistical Process Control. 7th edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315160511.
Der volle Inhalt der QuelleWetherill, G. Barrie, und Don W. Brown. Statistical Process Control. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2949-5.
Der volle Inhalt der QuelleOakland, John S. Statistical process control. 6. Aufl. Burlington, MA: Butterworth-Heinemann, 2008.
Den vollen Inhalt der Quelle findenLiu, Huamin. Statistical process control. Birmingham: University of Birmingham, 1988.
Den vollen Inhalt der Quelle findenOakland, John S. Statistical process control. 3. Aufl. Oxford: Butterworth-Heinemann, 1996.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Statistical Process control chart"
Oakland, John, und Robert Oakland. „Cumulative sum (cusum) charts“. In Statistical Process Control, 218–43. 7. Aufl. 7th edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315160511-9.
Der volle Inhalt der QuelleWetherill, G. Barrie, und 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.
Der volle Inhalt der QuelleOakland, John, und Robert Oakland. „Other types of control charts for variables“. In Statistical Process Control, 149–87. 7. Aufl. 7th edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315160511-7.
Der volle Inhalt der QuelleWetherill, G. Barrie, und 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.
Der volle Inhalt der QuelleWetherill, G. Barrie, und 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.
Der volle Inhalt der QuelleWetherill, G. Barrie, und 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.
Der volle Inhalt der QuelleReynolds, Marion R., und 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.
Der volle Inhalt der QuelleStolpa, 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.
Der volle Inhalt der QuelleYang, Su-Fen, und 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.
Der volle Inhalt der QuelleKawamura, Hironobu, Ken Nishina und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Statistical Process control chart"
Bringhurst, Katlynn, Joel Walter und 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.
Der volle Inhalt der QuelleKhan, Mansoor S., und Lirong Cui. „Statistical process control based chart for information systems security“. In Seventh International Conference on Digital Image Processing (ICDIP15), herausgegeben von Charles M. Falco und Xudong Jiang. SPIE, 2015. http://dx.doi.org/10.1117/12.2197092.
Der volle Inhalt der QuelleFong, Sze Jeeu, Sze San Nah und 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.
Der volle Inhalt der QuelleHuat, Ng Kooi, und 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.
Der volle Inhalt der QuelleXu, Yafei, und 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.
Der volle Inhalt der QuelleAmayri, Manar, Stephane Ploix, Fatma Najar, Nizar Bouguila und 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.
Der volle Inhalt der QuelleHayati, F., S. Maghsoodloo und 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.
Der volle Inhalt der QuelleRickli, Jeremy, und 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.
Der volle Inhalt der QuelleWang, 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.
Der volle Inhalt der QuelleHeryanto, 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Statistical Process control chart"
Pulsipher, B. A., und 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.
Der volle Inhalt der QuelleKrajcsik, 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.
Der volle Inhalt der QuelleDessouky, M. I., R. E. DeVor und 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.
Der volle Inhalt der QuelleCROWDER, 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.
Der volle Inhalt der QuelleTarko, Andrew P., Mario Romero, Cristhian Lizarazo und Paul Pineda. Statistical Analysis of Safety Improvements and Integration into Project Design Process. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317121.
Der volle Inhalt der QuelleWillson. 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.
Der volle Inhalt der QuelleKhvostina, Inesa, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko und Ekaterina Shmeltser. Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy. [б. в.], Oktober 2020. http://dx.doi.org/10.31812/123456789/4120.
Der volle Inhalt der QuelleRans. PR-352-11703-R01 Maintenance and Test Intervals for Primary and Secondary Measurement Equipment. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), März 2013. http://dx.doi.org/10.55274/r0010801.
Der volle Inhalt der QuelleGustafsson, Marcus, und Stephanie Cordova. Värdeskapande av koldioxid från biogasproduktion. Linköping University Electronic Press, September 2023. http://dx.doi.org/10.3384/9789180753838.
Der volle Inhalt der QuelleTreadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel und Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), März 2021. http://dx.doi.org/10.23970/ahrqepctb38.
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