Tesis sobre el tema "Statistical Process control chart"
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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.
Texto completoEste 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.
Texto completoDet 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.
Texto completoel, homani Abdellatif. "NOVEL APPROACHES FOR STATISTICAL PROCESS CONTROL CHARTS PATTERN RECOGNITION". OpenSIUC, 2010. https://opensiuc.lib.siu.edu/dissertations/152.
Texto completoKirbas, 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.
Texto completoChin, 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.
Texto completoWilson, Sara R. "Control Charts with Missing Observations". Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/37623.
Texto completoPh. D.
Park, Yongro. "A statistical process control approach for network intrusion detection". Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6835.
Texto completoLiu, Qingyun. "Statistical Process Control for the Fairness of Network Resource Distribution". FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/518.
Texto completoŠváchová, 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.
Texto completoYang, Hualong y 阳华龙. "Statistical process control charts with known and estimatedparameters". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50900018.
Texto completopublished_or_final_version
Statistics and Actuarial Science
Master
Master of Philosophy
Zhong, Xin. "Efficient Sampling Plans for Control Charts When Monitoring an Autocorrelated Process". Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/26337.
Texto completoPh. D.
Ronnestrand, Clinton. "Using control charts to determine if a process is in statistical process control". Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009ronnestrandc.pdf.
Texto completoHarvey, Martha M. (Martha Mattern). "The Fixed v. Variable Sampling Interval Shewhart X-Bar Control Chart in the Presence of Positively Autocorrelated Data". Thesis, University of North Texas, 1993. https://digital.library.unt.edu/ark:/67531/metadc278763/.
Texto completoSargut, Kamil Umut. "Application Of Statistical Process Control To Software Development Processes Via Control Charts". Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1270081/index.pdf.
Texto completoLanhede, Daniel. "Non-parametric Statistical Process Control : Evaluation and Implementation of Methods for Statistical Process Control at GE Healthcare, Umeå". Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-104512.
Texto completoStatistisk processkontroll (SPC) är en samling verktyg för att upptäcka förändringar, i fördelningen, hos utfallen i en process. Det kan fungera som en värdefull resurs för att upprätthålla en hög kvalitet i en tillverkningsprocess. Denna rapport är baserad på arbetet med att utvärdera och implementera metoder för SPC i en monteringsprocess av kromatografiinstrument på GE Healthcare, Umeå. Åtta styrdiagram, tre för för fas I analys, och fem för fas II analys, studeras i denna rapport. Användbarheten hos styrdiagrammen bedöms efter hur enkla de är att tolka och förmågan att upptäcka fördelningsförändringar. Den senare utvärderas med simuleringar. Resultatet av projektet är införandet av RS/P-metod, utvecklad av Capizzi et al (2013), för analysen i fas I. Av de utvärderade metoderna, (och simuleringsscenarier), har RS/P-diagrammet den högsta övergripande sannolikheten, för att upptäcka en mängd olika fördelningsförändringar. Vidare är metodens grafiska diagram lätt att tolka, vilket underlättar analysen. För fas II analys, har två styrdiagram, ett baserat på Mann-Whitney's U teststatistika, som föreslagits av Chakraborti et al (2008), och ett på Mood's teststatistika för spridning, som föreslagits av Ghute et al (2014), implementerats. Styrkan i dessa styrdiagram ligger främst i dess enkla tolkning. För snabbare identifiering av processförändringar kan styrdiagrammet baserat på Cramer von Mises teststatistika, som föreslagits av Ross et al (2012), användas. Baserat på enskilda observationer, istället för stickprov, har styrdiagrammet en högre uppdateringsfrekvens. Detta leder dock till ett ökat antal falska larm och styrdiagrammet anses dessutom vara avsevärt mycket svårare att tolka för SPC-utövaren.
Szmek, Tomáš. "Stabilita procesu výroby železničních podkladnic". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229776.
Texto completoLove, Nicole S. (Nicole Sharlene). "Statistical process control charts for the computer-aided fabrication environment". Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/35437.
Texto completoHuang, Wandi. "GLR Control Charts for Monitoring a Proportion". Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/40405.
Texto completoPh. D.
Ryan, Anne Garrett. "Surveillance of Poisson and Multinomial Processes". Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26549.
Texto completoPh. D.
Urbieta, Pablo Cezar. "Gráficos CUSUM e EWMA para monitorar dados de contagem com distribuição binominal negativa". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-30092016-143355/.
Texto completoControl charts have been widely used for process improvement in manufacturing. In literature several approaches have been proposed to improve the current charts performance. In addition, the use of control charts has been extended to other areas such as economics, finance, medicine, and others. The objective of this study is to compare CUSUM control chart with EWMA control chart for monitoring daily number of hospital admissions. Using a historical hospitalizations series due to respiratory diseases for people over 65 years old, a Negative Binomial regression model is fitted. Several scenarios are simulated using different shifts in the mean and using different statistics based on transformations, in order to compare these charts. It is shown that EWMA control chart with asymptotic control limit has similar performance as CUSUM control chart. However, using smaller values for new observations the EWMA control chart with exact control limit has better performance than CUSUM control chart.
Gremyr, Andreas. "Tracking Change : Usefulness of Statistical Process Control in Improving Psychiatric Care". Thesis, Hälsohögskolan, Högskolan i Jönköping, The Jönköping Academy for Improvement of Health and Welfare, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-30242.
Texto completoZhu, Haipei. "Implementation of statistical process control in a high volume machining center : importance of control charts". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101530.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 83-84).
This thesis focuses on application of statistical process control (SPC) and control charts in a high volume machining center at Waters Corporation. The company has a need of a real time inspection and control methodology so that new hires as well as experienced operators can produce machined parts with high quality and low scrap rates. This thesis project was conducted by Zhu, Zhang and Udayshankar as a team, developing and applying multiple components of SPC at Waters. Zhang's thesis focuses on Gage Repeatability & Reproducibility and Udayshankar's thesis focuses on standard operating procedures (SOPs). An SPC methodology flow chart is designed specifically for the company based on theoretical review of SPC methods and baseline data collection. Initially, the column machining process was out of control due to existing assignable causes such as tool breakage and tool wear. After an SOP is designed and operators trained to follow the SOP, the process was brought back into statistical control. A sampling plan is determined and individual control charts are used to achieve real time inspection in the long term. As a result, scrap rate was reduced from 8% to 4% and potential savings in the column area is higher than $200,000. The SPC methodology will be scaled up to the entire machining center in the near future, which will have a potential annual savings of $600,000. At the end of this thesis project, recommendations are made to Waters Corporation to help it maintain its status as a world class manufacturer. Major recommendations are to implement a database system for quality control, root cause analysis, training program and continuous process improvements.
by Haipei Zhu.
M. Eng. in Manufacturing
Hudečková, Eva. "Statistické řízení procesů". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231244.
Texto completoBuriánková, Alena. "Analýza zmetkovitosti ve výrobním procesu". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-402585.
Texto completoNam, Kyungdoo T. "A Heuristic Procedure for Specifying Parameters in Neural Network Models for Shewhart X-bar Control Chart Applications". Thesis, University of North Texas, 1993. https://digital.library.unt.edu/ark:/67531/metadc278815/.
Texto completoEdwards, Christopher Lance. "IMPROVEMENT OF STATISTICAL PROCESS CONTROL AT ST. JUDE MEDICAL'S CARDIAC MANUFACTURING FACILITY". DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/771.
Texto completoWang, Ning. "GLR Control Charts for Monitoring Correlated Binary Processes". Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/52981.
Texto completoPh. D.
Szarka, John Louis III. "Surveillance of Negative Binomial and Bernoulli Processes". Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26617.
Texto completoPh. D.
Peng, Yiming. "GLR Control Charts for Process Monitoring with Sequential Sampling". Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/50819.
Texto completoPh. D.
Vidová, Katarína. "Statistické vlastnosti regulačních diagramů a modelů způsobilosti". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417799.
Texto completoKubíček, Jan. "Statistická podpora procesu řízení firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443764.
Texto completoMegahed, Fadel M. "The Use of Image and Point Cloud Data in Statistical Process Control". Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26511.
Texto completoPh. D.
Lee, Hyun Cheol. "Robust design of control charts for autocorrelated processes with model uncertainty". Texas A&M University, 2004. http://hdl.handle.net/1969.1/2778.
Texto completoKaya, Yaren Bilge. "Statistical Monitoring of Queuing Networks". Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7534.
Texto completoFerreira, Paula de Oliveira. "Utiliza??o do controle estat?stico do processo para monitoramento do peso m?dio de c?psulas de Tuberculost?ticos: estudo de caso no NUPLAM- RN". Universidade Federal do Rio Grande do Norte, 2008. http://repositorio.ufrn.br:8080/jspui/handle/123456789/14894.
Texto completoCoordena??o de Aperfei?oamento de Pessoal de N?vel Superior
This Master Thesis presents a case study on the use of Statistical Process Control (SPC) at the N?cleo de Pesquisas em Alimentos e Medicamentos (NUPLAM). The SPC basic tools have been applied in the process of the tuberculost?ticos drugs encapsulation, primarily concerning the objective to choose, between two speeds, which one is the best one to perform the tuberculostatics encapsulation. Later on, with the company effectively operating, the SPC was applied intending to know the variability of the process and, through the tracking of the process itself, to arrive at an estimated limit for the control of future lots of tuberculostatics of equal dosage. As special causes were detected acting in the process, a cause-and-effect diagram was built in order to try to discover, in each factor that composes the productive process, the possible causes of variation of the capsules average weight. The hypotheses raised will be able to serve as a base for deepened the study to eliminate or reduce these interferences in the process. Also a study on the capacity of the process to attend the specifications was carried out, and this study has shown the process?s inaptitude to take care of them. However, on the side of NUPLAM exists a real yearning to implant the SPC and consequently to improve the existing quality already present on its medicines
Esta disserta??o apresenta um estudo de caso sobre a utiliza??o do Controle Estat?stico do Processo (CEP) no N?cleo de Pesquisas em Alimentos e Medicamentos (NUPLAM). As ferramentas b?sicas do CEP foram aplicadas no processo de encapsulamento de tuberculost?ticos primeiramente com o objetivo de escolher entre duas velocidades qual a melhor para a realiza??o do encapsulamento dos tuberculost?ticos. Posteriormente, com a empresa efetivamente funcionando, o CEP foi aplicado com o intuito de conhecer a variabilidade do processo e atrav?s do monitoramento do mesmo chegar a um limite de controle estimado para o controle de lotes futuros de tuberculost?ticos que possuam a mesma dosagem do tuberculost?tico monitorado. Como foram detectadas causas especiais atuando no processo, um diagrama de causa-e- efeito foi constru?do a fim de tentar descobrir em cada fator que comp?e o processo produtivo as poss?veis causas de varia??o do peso m?dio das c?psulas. As hip?teses levantadas poder?o servir de base para um estudo mais aprofundado para a elimina??o ou redu??o dessas interfer?ncias no processo. Tamb?m foi realizado um estudo sobre a capacidade do processo em atender ?s especifica??es o qual se mostrou incapaz de atend?-las. Contudo, existe por parte do NUPLAM um real anseio em implantar o CEP e conseq?entemente melhorar a qualidade j? existente em seus medicamentos
Hack, Pedro da Silva. "Influência da incerteza de medição no uso de cartas de controle". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/61367.
Texto completoThe measurement uncertainty is still subject of study and development, even almost twenty years after the release of the ISO GUM, which set an international standard for the its calculation. Still, few studies have addressed the interface between the measurement uncertainty and other aspects of industrial quality, in particular process control tools like control charts. The objective of this work is to study the effects of measurement uncertainty on control charts and to identify the situations in which its application exerts greater influence. A research was made, mapping of the articles published between 2004 and 2010 regarding measurement uncertainty, aiming to identify which calculation methods and approaches are most widely used. After, a method was developed to include uncertainty of the measurement system in control charts, modifying the probabilities of type I and type II errors. Finally, it was created a computer simulation using the method developed, to make it possible to analyze those situations in which the measurement uncertainty must be considered and which it can be neglected.
Tonini, Enrico. "General Profile Monitoring Through Nonparametric Techniques". Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3423081.
Texto completoQuesta tesi è dedicata ai metodi per il Controllo Statistico della Qualità (CSQ) per il monitoraggio della stabilità nel tempo della relazione tra due variabili (profilo). Spesso in letteratura si assume nota la forma funzionale della relazione, viceversa in questo lavoro ci si è concentrati su relazioni generiche ed ignore e quindi da stimare con le usuali tecniche di regressione non parametrica. I contributi originali sono due, presentati nei capitoli 2 e 3 rispettivamente. Nel Capitolo 1 presentiamo una breve panoramica dell’argomento in modo da far prendere familiarità al lettore con questi problemi specifici delle applicazioni del Controllo Statistico della Qualità (CSQ) e introdurlo alle parti originali di questo lavoro. Nel Capitolo 2 sviluppiamo e confrontiamo cinque nuove carte di controllo per il monitoraggio on-line di relazioni ignote generiche, e non solo lineari, tra variabili sotto l’assunzione di normalità degli errori; queste carte mettono insieme in modo originale le seguenti tecniche: metodi self-starting, utili per eliminare la distinzione tra Fase I e Fase II dell’analisi; alcune carte di controllo multivariate ben note come MEWMA e CUSCORE; tecniche non parametriche per la verifica di ipotesi come metodi wavelet o il lisciamento lineare con il metodo del kernel. Nel Capitolo 3, invece, costruiamo una statistica test utile per verificare con una procedura completamente non parametrica la stabilità di un processo in maniera retrospettiva, quindi off-line. Sia il secondo che il terzo capitolo sono strutturati nel modo seguente: breve revisione della letteratura; contesto e modello considerati in questo studio; simulazioni; una sezione con alcuni complementi utili sugli argomenti e relativa ricerca effettuata; conclusione e suggerimenti per la ricerca futura.
Lee, Joongsup. "New control charts for monitoring univariate autocorrelated processes and high-dimensional profiles". Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42711.
Texto completoNoronha, Rossano Santos. "Projeto Econômico da Carta de Controle X : um modelo com custos dependentes dos desvios". Universidade do Vale do Rio dos Sinos, 2017. http://www.repositorio.jesuita.org.br/handle/UNISINOS/6276.
Texto completoMade available in DSpace on 2017-05-22T13:46:14Z (GMT). No. of bitstreams: 1 Rossano Santos Noronha_.pdf: 585085 bytes, checksum: 88117b318c3e9c30134fce5bf0bdc22e (MD5) Previous issue date: 2017-03-07
CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Devido à dificuldade em se estimar os custos de operação associados ao monitoramento estatístico do processo nos trabalhos identificados na literatura, este trabalho tem por objetivo propor um modelo de otimização econômico para a carta de controle _X que considere as incertezas em relação aos custos variáveis e dependentes do desvio em relação à média do processo. O levantamento bibliográfico efetuado auxiliou no entendimento de como a incerteza em relação aos custos na utilização das cartas de controle são tratados. Percebeu-se o tratamento dos custos bem como do parâmetro de desvio do processo em relação a média _ como variáveis discretas e que impactavam na carta. A proposta aqui apresentada consiste em tratar não apenas o desvio em relação a média mas também dois dos custos associados à operação da carta de controle _X como variáveis aleatórias de distribuição contínua, inserindo assim um componente de incerteza na sua estimação. Desenvolveu-se assim uma nova formulação para o problema de otimização. Foram escolhidas instâncias para a otimização e comparados os resultados com os obtidos por autores da literatura. Os resultados foram obtidos por meio da metaheurística simulated annealing. Como resultados, o método mostrou-se eficiente, mostrando que o nível de dependência entre o parâmetro de mudança de processo e o custo e, da incerteza que se tem quanto aos valores definidos de custo de operação impactam nos custos totais de operação do CEP. A principal contribuição deste trabalho de pesquisa está na apresentação de uma formulação matemática de otimização da carta de controle _X que trata não somente o desvio em relação à média do processo mas também os custos de operação do CEP como variáveis aleatórias. A originalidade da formulação está em considerar os custos linearmente dependentes do tamanho do desvio do processo em relação a sua média.
Due to the difficulty in estimating the operating costs associated to the statistical monitoring of the process described in the literature, this paper aims to propose a model of economic optimization for the _X control chart that considers the uncertainties in relation to the variable costs and dependent on the deviation in relation to the average of the process. The literature review performed supported the understanding of how the uncertainty in relation to costs in the use of control charts is treated. The treatment of the costs as well as the parameter of deviation of the process in relation to the _ average were indicated as discrete variables and that impacted on the chart. The proposal presented here consists of treating not only the deviation from the mean but also two costs associated with the operation of the _X control chart as random variables of continuous distribution, thus inserting a component of uncertainty in its estimation. A new formulation for the optimization problem was developed. Instances for optimization were chosen and the results were compared with those obtained by authors described in the literature. The results were obtained through simulated annealing metaheuristics. As a result, the method proved to be efficient, showing that the level of dependence between the process change parameter and the cost, as well as the uncertainty regarding the defined operating cost values impact on the total cost of operation of the SPC. The main contribution of this research work is the presentation of a mathematical formulation of optimization of the _X control chart that treats not only the deviation in relation to the average of the process but also the operating costs of the SPC as random variables. The originality of the formulation is to consider costs linearly dependent on the size of the process deviation in relation to its mean.
Assareh, Hassan. "Bayesian hierarchical models in statistical quality control methods to improve healthcare in hospitals". Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/53342/1/Hassan_Assareh_Thesis.pdf.
Texto completoHassan, Sara. "IMPLEMENTERING AV STATISTISK PROCESSTYRNING VID SMÅ SERIER". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27810.
Texto completoStatistical process control, SPC, is a widely used technique for quality improvements by companies all over the world. The current trend in manufacturing organizations is directed towards shorter productions runs, which cause problems when applying traditional statistical methods developed for SPC on mass production runs. The critical factors for a successful implementation of SPC on short runs are still not fully explored and require further research. The main purpose of this study was to present a conceptual framework that illustrates the successful implementation of SPC in organizations with short runs and extensive product portfolio. In order to answer the research questions, a case study research methodology with both quantitative and qualitative methods was used. Participant observations and a workshop including 15 participators were performed in order to identify existing process variability’s and current state of the studied production processes. Three product families and key quality characteristics of each product were chosen to be monitored in control charts, based on scrap costs and staff experiences of the production process. A measurement system analysis was used to determine if the gauges, used to make measurement quality controls, were capable. Control charts were constructed and adjusted to short production runs. Statistical analysis was then made on the information gathered through the control charts to determine if statistical tools within SPC was useful for quality improvements on short production runs. Also a qualitative benchmark was performed with four manufacturing companies to take part of their experiences and knowledge related to the implementation and application of SPC. The findings indicate that the studied organization needs to improve working methods related to quality inspections and monitoring of the production processes. The organization also needs to improve the measurement system and make an extensive work of improvement to reduce the many identified special causes of variation that affects the processes and product quality, before implementing SPC in the organization. Findings showed that SPC tools and techniques successfully can be adopted to improve short run production processes when using standardized control charts for different product types. Short run production processes involve more complex statistical analysis which could inhibit the success of an implementation of SPC. The analysis of the qualitative and quantitative findings resulted in a framework including 15 critical success factors for the implementation of SPC in short production runs. All the following critical success factors should be taken into account by organizations with short runs that aspire a successful implementation of SPC: (1) Be ready to make a cultural change including the recognition of the importance of SPC within the whole organization, (2) Communicate a clear goal and long-term strategy, (3) Create motivation and commitment from top management to operators on the shop floor, (4) Select a SPC coordinator, (5) Introduce a training programme with feedback from start, (6) Create cross-functional teams, (7) Stimulate cooperation and participation within the work of improvements, (8) Ensure a capable measurement system, (9) Perform a pilot project with enthusiastic employees, (10) Identify critical processes, product families and key quality characteristics, (11) Focus on exploring process behaviors, (12) Construct standardized control charts, (13) Interpret and analyze control charts according to Montgomery’s method for statistical analysis, (14) Attempt to obtain processes in control, (15) Perform continuous follow ups.
Lacina, Michael Allen. "Relationships Between Training Load Metrics and Injury in Collegiate Women's Soccer". Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/100946.
Texto completoMaster of Science
Reducing the risk of injury in athletes is a focal point for many coaches, training, and medical staffs in collegiate athletics. The consequences of injury range from loss of playing time to financial and long-term health costs. Being able to reduce the risk of injuries not only has personal implications for the athlete but also relates to overall team success. Using global positioning systems (GPS) to track the amount of work done in training can possibly reduce injury risk. This study planned to investigate the workload in NCAA Division 1 collegiate female soccer athletes and if any injuries were sustained during both training and competition settings. The results suggest that statistical process control (SPC) charts and the Nelson Rules did not predict injury risk within this population. There is limited research that has used these tools. Future work can reassess these methods within larger collegiate athletic populations, over a longer period of time.
Peroutka, Michal. "Využití statistických metod pro zajištění způsobilosti procesu výroby". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241569.
Texto completoCassady, Charles Richard. "Statistical quality control techniques using multilevel discrete product quality measures". Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-06062008-151120/.
Texto completoMahmoud, Mahmoud A. "The Monitoring of Linear Profiles and the Inertial Properties of Control Charts". Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/29544.
Texto completoPh. D.
Yontay, Petek. "A Two-sided Cusum For First-order Integer-valued Autoregressive Processes Of Poisson Counts". Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613385/index.pdf.
Texto completoDostál, Petr. "Zavedení SPC ve výrobním procesu". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2010. http://www.nusl.cz/ntk/nusl-222511.
Texto completoJečmínková, Michaela. "Využití regulačních diagramů pro kontrolu jakosti". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224704.
Texto completoWang, Sai. "GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process". Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/77227.
Texto completoPh. D.