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Zapletalík, Jiří. "Optimalizace měření a metod měření vybrané součásti." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241926.
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This master’s thesis focuses on the analysis of statistical process control and measurement methods, used in the company stoba Precizní Technika s.r.o. On the basis of this analysis there will be proposed changes that should contribute to improving the production process. By using statistical methods for monitoring of process can identify specific causes operating on the process and thereby achieve an improvement in quality of process.
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Gregor, Jaroslav. "ANALÝZA ZPŮSOBILOSTI VÝROBNÍHO STROJE PŘI VÝROBĚ AUTOBUSŮ." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2008. http://www.nusl.cz/ntk/nusl-227944.
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The diploma thesis deals with an analysis of the processing machine capability in bus production. The goal is to evaluate the capability of the CNC laser processing machine in conditions of Iveco Czech Republic, Ltd., Vysoke Myto. In the theoretical part, the thesis studies measurements and capability of the processing machine; the practical part describes the present state of production and suggests a solution of the assigned task.
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Polášek, Ondřej. "Metrologické charakteristiky měřícího ramene Hexagon Absolute Arm 83." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-442824.
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This study analyzes current trends in metrology in the field of portable coordinate measuring machines and describes current methods for measurement system and process evaluation. Obtained knowledge is applied, in order to evaluate the capability of measurement system, which consists of articulated measurement arm and measurement standard.
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Ježková, Kateřina. "Aplikace statistické regulace procesu na nový produkt." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-9362.
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Simandl, Martin. "Zavedení SPC ve výrobním procesu." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-403835.
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The diploma thesis focuses on the introduction of statistical process control in selected manufacturing company XYZ. It is divided into a theoretical and a practical part, while the theoretical part deals with theoretical knowledge of SPC methodology and quality management. The content of the practical part is the design and implementation of the measuring and evaluation station, which will be used for statistical control of the SPC process, into the emerging production of chip machining.
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Eklund, Henrik, and Jacob Engström. "Ensuring high-quality production during commissioning and ramp-up : A case study at Northvolt." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85130.
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Rechargeable lithium-ion batteries (LIBs) have generated a shift in the automotive industry towards electric vehicles (EVs) instead of vehicles powered by fossil fuels. As a result, the demand for LIBs is only expected to grow in the future due to an increased demand for passenger EVs. Consequently, LIB manufacturers have to increase their production to meet the increasing demand. Northvolt is a Swedish LIB manufacturer founded in 2016, aiming to start the production of LIBs at the Northvolt Ett factory in Skellefteå during 2021. The Northvolt Ett factory will be one of the largest battery plants in Europe, supplying battery cells for both commercial and domestic use. Poorly manufactured battery cells can potentially cause hazardous events, such as fires or explosions, further supporting the need for high quality batteries. Consequently, requirements from customers and industry standards are high in terms of product quality control through e.g. measurement system analysis (MSA), statistical process control (SPC), and capability analysis. Furthermore, previous research has highlighted issues during commissioning and ramp-up of production, potentially occurring at Northvolt Ett. The purpose of this study has been to describe how high-quality production can be ensured and maintained during and after commissioning. The study has been conducted as a qualitative case study at Northvolt Ett, focusing on qualification of the coating process. The basis for the study was to examine previous research on quality assurance from other industries, analyze automotive standards, and gather learnings from the pilot production at Northvolt Labs in Västerås. Unstructured interviews were conducted with Northvolt staff to understand what had previously been done related to quality assurance for Coating. The learnings from Northvolt Labs highlighted a clear focus on preventive actions, such as establishing a Design-FMEA, Process-FMEA, and a Control Plan for the coating process. However, room for improvement was identified in terms of process improvement and control, since the lack of SPC has yielded unreliable results from the performed capability analysis. In addition, previous research has shown that preventive actions should be combined with actions for process improvement to reach full-scale production quickly. Thus, recommendations have been made for Northvolt to implement a clear strategy for product qualification through SPC and capability analysis, as a complement to the preventive actions. The recommendations include specific propositions for validation of the coating process and a general framework for process validation through MSA, SPC, and capability analysis. The presented recommendations can help Northvolt perform successful commissioning of the processes at Northvolt Ett and can also be useful for process validation in other manufacturing industries.Laddningsbara litium-jon-batterier (LIB:s) har skapat en omställning i bilindustrin mot eldrivna fordon istället för fordon som drivs av fossila bränslen. Som en konsekvens väntas efterfrågan av LIB:s bara att öka i framtiden på grund av en ökad efterfrågan på eldrivna passagerarfordon. LIB-tillverkare måste därför öka sin produktion för att möta den växande efterfrågan. Northvolt är en svensk LIB-tillverkare som grundades 2016, med sikte på att starta produktionen av LIB:s vid fabriken Northvolt Ett i Skellefteå under 2021. Fabriken Northvolt Ett kommer att vara en av de största batterifabrikerna i Europa och leverera battericeller för både kommersiell och privat användning. Dåligt tillverkade battericeller kan potentiellt orsaka allvarliga händelser som bränder eller explosioner, vilket vidare stödjer behovet av batterier med hög kvalitet. Till följd av detta är kraven från standarder och tillverkare inom bilindustrin höga i termer av kvalitetskontroll av produkter genom t.ex. mätsystemanalys (MSA), statistisk processtyrning (SPS), och duglighetsanalys. Vidare visar tidigare forskning på problem som kan uppstå under driftsättning och upprampning av produktion, vilka potentiellt kan uppstå för Northvolt Ett. Syftet med denna studie har varit att beskriva hur högkvalitativ produktion kan säkerställas och upprätthållas under och efter driftsättning. Studien har genomförts som en kvalitativ fallstudie vid Northvolt Ett med fokus på kvalifikation av coating-processen. Utgångspunkten för studien har varit att undersöka tidigare forskning inom kvalitetssäkring från andra industrier, analysera standarder från bilindustrin, och hämta in lärdomar från pilotproduktionen vid Northvolt Labs i Västerås. Ostrukturerade intervjuer genomfördes med anställda på Northvolt för att öka förståelsen för vad som tidigare gjorts relaterat till kvalitetssäkring för Coating. Lärdomarna från Northvolt Labs visade ett tydligt fokus på förebyggande åtgärder, som upprättande av en Design-FMEA, Process-FMEA, och en kontrollplan för coating-processen. Dock identifierades ett förbättringsområde inom åtgärder för processförbättring och kontroll, då avsaknaden av SPS har genererat opålitliga resultat från den genomförda duglighetsanalysen. Vidare har tidigare forskning visat att förebyggande åtgärder borde kombineras med åtgärder för processförbättring för att snabbt uppnå fullskalig produktion. Rekommendationer har därför tagits fram till Northvolt för att implementera en tydlig strategi för produktkvalifikation genom SPS och duglighetsanalys, som ett komplement till de förebyggande åtgärderna. Dessa rekommendationer inkluderar specifika förslag för validering av coating-processen samt ett generellt ramverk för processvalidering genom MSA, SPS, och duglighetsanalys. De presenterade rekommendationerna kan hjälpa Northvolt att genomföra en framgångsrik driftsättning av processerna på Northvolt Ett och kan även vara användbara för processvalidering i andra tillverkningsindustrier.
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Batista, Gabriela de Fatima. "Programa de medição para organizações de alta maturidade." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260163.
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Orientadores: Mario JinoDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: Organizações de alto nível de maturidade têm como meta principal a melhoria contínua de seus processos. Essas organizações usam sistematicamente métricas e fazem análise dos dados coletados para tomada de decisão, ou seja, fazem efetivamente gerenciamento por dados. Avaliação quantitativa da capacidade do processo de software definido para o projeto e suas variações permite planejar e gerenciar melhor os projetos. Considerando a necessidade de medir, prever e ajustar o processo de software para alcançar as metas de qualidade, um programa de medição é proposto com o intuito de dar suporte à gerência quantitativa. O programa de medição apresenta métricas alinhadas às metas organizacionais e exige que, após a coleta dos dados e sua análise, os envolvidos nessas métricas - um gerente administrativo, um gerente funcional, um líder de projeto ou um desenvolvedor - comprometam-se a usar os resultados da análise para identificar os desvios de processo e aplicar as ações corretivas necessárias; desta forma, pode-se controlar o desempenho do processo de desenvolvimento de software dentro dos limites aceitáveis. Para apoiar o processo de implantação e aplicação de métricas, uma ferramenta de coleta, validação e análise dos dados, baseada em controle estatístico de processo, denominada Vigia, foi desenvolvida. Vigia pode ser usada para controlar o desempenho do processo de software definido para o projeto assegurando que o processo não compromete as metas de qualidade da organização nem as metas de negócio, por meio de ações corretivas em tempo real e, conseqüentemente, de ajustes no processo de software. Um estudo de caso foi realizado na Motorola Industrial para avaliar tanto o programa de medição como a ferramenta Vigia
Abstract: Organizations of a high level of maturity have as main goal the continuous improvement of their processes. Such organizations systematically apply metrics by measuring process performance and analyzing these measurements to make decisions; hence, they effectively perform management by data. Quantitative assessment of the performance of the project's defined software process and its variations allows better planning and management of projects. Considering the need for measuring, predicting and adjusting the software process to reach quality goals, a measurement program is being proposed to give support to quantitative management. The measurement program presents metrics aligned to the organizational goals and requires that, after data collection and analysis, the metrics stakeholders - a senior manager, a functional manager, a project leader or a developer - be committed to use the results of the analysis to identify process deviations and to apply the necessary corrective actions. In this way, we may control the performance of the project's defined software process within acceptable limits. To support deployment of the measurement process and application of metrics, a tool to collect, validate and analyze data, based on statistical process control, called Vigia, was developed. Vigia can be used to control the performance of the project's defined software process, assuring that the process does not compromise neither the organizational quality goals nor the business goals through corrective actions in near-real time. Consequently, it carries through adjustments in the software process. A case study was carried out at Motorola Company to evaluate the measurement program as well as the Vigia tool
Mestrado
Engenharia de Computação
Mestre em Engenharia Elétrica
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Behrman, Robert. "Structural Measurement Of Military Organization Capability." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/373.
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This research presents a structural model of the effect of the organization of military units upon their capability. This research is oriented towards a more complete understanding of military capability and policy decisions about the structure and development of military forces. We identify the types of national and military policy decisions that claims of military capability inform, and find that there are five distinct types of capability claims relevant to military policy. We show how these types of capability claims are logically related to each other, but have different premises, predicates, and standards of proof. We find that one of these types of claims, General Organization Capability Claims, ties together the various military policy decisions. The remainder of this research shows how these capability claims can be formally structured based on military doctrine and structurally evaluated using a network-science based model. The interaction between the structural elements of a military organization (personnel, materiel, and information) and the things it is supposed to do (military tasks) can be represented and analyzed with network science methods, and represents a type of general organization capability claim. We present a method for representing policy decisions about unit structure and tactical doctrine. We then develop two versions of a structural model of capability–one that links the individual elements of an organization to the tasks it performs; another that considers the capacity of a set of organizations to meet a set of requirements. We show that network statistics of organizations represented off of authoritative, rather than observational, data are still consistent with network science findings but require interpretation. We also show how alternate methods of aggregating organizations can expand the utility of the capability measurement. This research presents five new contributions to the fields of military policy analysis and network science–(1) a taxonomy of military capability claims, (2) a meta-network model of doctrinal organization and task data, (3) a structural model of organization capability, (4) a structural model of organization capacity, and (5) a network-based method integer programming method.
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Rocha, Hermes Soares da. "Controle estatístico de qualidade aplicado a ensaios de material de irrigação." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-25042017-150034/.
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Os ensaios laboratoriais para avaliação técnica ou estudo de material de irrigação envolvem a medição de diversas grandezas, bem como o monitoramento e controle das condições de ensaio. Qualquer sistema de medição e controle naturalmente apresenta instabilidades que podem afetar a qualidade dos resultados de ensaio, implicando em aumento da incerteza no processo de medição. A implementação do Controle Estatístico de Qualidade pode ser promissora para detecção de causas externas de variação, avaliação da variação máxima permitida aos dados de um processo e discriminação das principais componentes de variabilidade de um sistema de medição. Nesse sentido, considerando a hipótese de possibilidade de aprimoramento da qualidade dos resultados de ensaios, a presente pesquisa teve por objetivo utilizar técnicas de controle estatístico de qualidade e análise de sistemas de medição para avaliar o grau de adequação de bancadas de ensaio de emissores de microirrigação, aperfeiçoar os sistemas de medição e controle adotados nas bancadas e diagnosticar a porcentagem de contribuição dos fatores inerentes aos sistemas de medição e controle na variabilidade total das medidas de vazão em ensaios de uniformidade. A pesquisa foi conduzida no Laboratório de Ensaios de Material de Irrigação (LEMI/INCTEI/ ESALQ/USP). Foram elaborados gráficos de controle de Shewhart, média móvel exponencialmente ponderada (MMEP), além de índices de capacidade para o processo de medição da pressão de ensaio, monitoramento de temperatura da água e vazão, consideradas como as variáveis características da qualidade para ensaios de determinação das curvas de vazão em função da pressão de entrada e uniformidade de vazão de emissores de microaspersão e gotejamento. Além disso, realizou-se estudo de repetitividade e reprodutibilidade (Gage RR) do sistema de medição da vazão, para o qual foram utilizadas 10 repetições, sob três turnos de trabalho (manhã, tarde e noite), com 13 emissores na bancada de microaspersão e 25 emissores na bancada de gotejamento. Não houve influência do turno de trabalho nas medidas de vazão obtidas e o aprimoramento do processo de ajuste da pressão de ensaio pela implantação de um controlador proporcional integrativo-derivativo (PID) ao ensaio de microaspersores foi suficientemente detectado pela aplicação dos gráficos de controle. A pressão e temperatura da água se mantiveram estáveis durante cada ensaio, e não foram identificadas causas não aleatórias de variabilidade na rotina de ensaios. O processo de controle e medição da pressão, para as duas bancadas, foi classificado como\"excelente\" quanto ao desempenho e capacidade de se manter entre os limites de especificação e centralização em relação ao valor de referência (alvo desejado). Como esperado, a variabilidade entre emissores foi a componente de maior contribuição na variância total da vazão, correspondendo a 95,47% e 96,77% para microaspersão e gotejamento, respectivamente. A repetitividade e reprodutibilidade do sistema de medição de vazão (Gage RR) foi \"aceitável\" para as duas bancadas, com as respectivas contribuições de 4,53% e 3,23%, em relação à variância total, associados às incertezas do Gage RR.Laboratory tests for technical evaluation or irrigation material testing involve the measurement of various greatnesses, as well as monitoring and control of test conditions. Any measurement and control system naturally presents instabilities that can affect the quality of the test results, resulting in increased measurement uncertainty. The implementation of the Statistical Quality Control may be promising for detecting causes of variation non-random, evaluation of the tolerance permitted to data of the process and breakdown of the main variability components of a measuring system. In this sense, considering the hypothesis of possibility of improving the quality of test results, the present study aimed at using statistical quality control techniques and measurement systems analysis to assess the reliability of test benches of microirrigation emitters, improve measurement and control systems adopted in the benches and to diagnose percentage of contribution of the factors inherent in the measurement and control systems in the total variability of flow measurements on uniformity tests. The research was carried in Laboratório de Ensaios de Material de Irrigação (LEMI/INCTEI/ ESALQ/USP). Shewhart control charts were developed, exponentially weighted moving average (EWMA), and capability index for the process of measuring the test pressure, temperature monitoring of water and flow, regarded as the quality variables for determination the flow curves as a function of inlet pressure and uniformity of flow for microsprinkler emitters and drip. In addition, it was made study of repeatability and reproducibility (Gage RR) of flow measurement system for which were used 10 repetitions in three work shifts (morning, afternoon and evening), with 13 emitters in the microsprinkler\'s bench and 25 emitters in the drip bench. There wasn\'t influence of the work shift in the obtained measures for flow and the improvement of the adjustment process of the test pressure for the implementation of the integrative-derivative proportional controller (PID) to microsprinklers test was sufficiently detected by control charts. The pressure and water of temperature remained stable during the tests and weren\'t identified non-random causes of variability in routine tests. The process control and measurement of pressure was classified \"excellent\" to performance and capability to remain in the range of specification and centralization in relation to the reference value (desired target), to the two benches. As expected, the variability between emitters was the greater contribution component in the total variance of flow, corresponding to 95.47% and 96.77% for microsprinkler and drip, respectively. The repeatability and reproducibility for flow measurement system (Gage RR) was \"acceptable\" for the two benches, with the contributions respective of 4.53% and 3.23% relative to the total variance, associated with uncertainties of Gage RR.
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Albing, Malin. "Contributions to process capability indices and plots /." Luleå, 2008. http://epubl.ltu.se/1402-1544/2008/63/.
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Hanson, James A. (James Andrew) 1976. "Improving process capability data access for design." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/88897.
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Datar, Satyajit V. "Hypothesis Testing for the Process Capability Ratio." Ohio University / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1040054409.
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Deleryd, Mats. "Process capability studies in theory and practice." Licentiate thesis, Luleå tekniska universitet, 1996. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-18688.
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The existence of variation has been a major problem within industry since the early days of the industrial revolution and perhaps even earlier. The fact that two parts not ever will be identical, forces every organisation to find a strategy for how to master variation. Process capability studies, a method designed to judge whether a process is capable or not, often plays an important part in such a strategy.The concept of process capability studies has received both positive and negative criticism during the last decade. For instance, the supporters of process capability studies emphasise the importance of using the method to identify improvement priorities to be focused in the overall improvement process within an organisation.However, as all methods, process capability studies has its limitations. Actually, it is not principally the method as such that has been criticised, but rather the measures of capability used when conducting process capability studies, the so called process capability indices. All existing process capability indices have some weaknesses, even the most sophisticated indices have relatively poor statistical properties which might lead the user to make incorrect decisions, even if most theoretical aspects of how to conduct process capability studies are known by the user. The use of process capability indices is for instance partly based on the assumption that the process output is normally distributed, a condition that is often not fulfilled in practice, where it is common that the process output is more or less skewed.This thesis focuses on process capability studies in both theory and practice. In part 1 of the thesis some theoretical aspects of how to conduct process capability studies are identified and then the adherence to these aspects within Swedish industry is investigated. This study reveals that there are certain gaps between how process capability studies are supposed to be conducted according to theory and the way they actually are carried out in practice. The study also tries to explain why these gaps exist, by analysing common obstacles when implementing and conducting process capability studies.In part 2, a simulation study focusing on the effects of skewness on estimates of some process capability indices belonging to the family of indices named Cis presented. The effects of skewness are studied in three different cases, one incapable case, one case just capable and one very capable case. In all cases, four lognormal distributions with different skewness are used. The results from the simulation study indicate that the effect of skewness is relatively systematic, and therefore there are some hope that future investigations might use these results when formulating some practical solution to the problem of how to use process capability indices when the process monitored has a skewly distributed output.Finally, the results are summarised and discussed and some suggestions for future research are given.
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Johnson, Alastair Scott. "Building performance measurement systems to improve co-development capability." Thesis, Cranfield University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341035.
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Newell, Ashley Michelle. "Does capability measurement enable aspiration during emergent adulthood? Examining 'Poverty Stoplight' as a poverty measurement and capability building instrument for youth in South Africa." Master's thesis, Faculty of Commerce, 2019. http://hdl.handle.net/11427/32315.
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In South Africa, the majority of youth entering emerging adulthood find themselves in a protracted struggle to access further education, training or to secure their first decent job. The purpose of this multi-case study is to deepen the understanding of how capability measurement approaches and tools can empower marginalized youth to better understand their aspirations and map their way through emerging adulthood and out of poverty. This research aims to deepen the understanding of youth's experience utilizing 'Poverty Stoplight'; a poverty measurement and capability building instrument that utilizes a self-assessment survey and mentorship methodology. The researcher utilized a youth-focused participatory approach in conducting focus groups and in-depth one-on-one interviews across five marginalized communities in the Western Cape to gain insight into their experience using the tool, their ability to envision their future selves and develop their aspirations. What emerged from the data were insights into the youth's aspirations, the perceived enabling factors and impediments towards their aspirations and their experiences utilizing Poverty Stoplight. This process enabled youth to genuinely reflect and assess their situation, and have the opportunity to define their aspirations. Overall the Poverty Stoplight programme was experienced as empowering by participants, with several implications for the programme pertaining to data accessibility, communication, mentorship and solution sharing, as well as the importance of youth-specific participatory approaches. Aligned to this, the findings yielded several recommendations pertaining to providing support and enabling opportunities for emerging adults to realise their aspirations. Despite the limitations of this research, this study is relevant for stakeholders in South Africa and globally as it examines the critical issue of youth development, with a focus on the ability of young people to attain their aspirations. Further, it analyses the capability measurement approach as a means to ensuring young people can better understand and plot their way out of poverty, making the most of their individual capabilities and attributes within the broader structural and systemic challenges they face. This exploration of practical tools and methodologies being developed and utilized by pioneering organisations in the South African context provides empirical evidence of the merit of such approaches, with recommendations on how tools and approaches can even better serve the needs of youth. Further, longitudinal research is merited into the use of such capability measurement approaches to empower youth and the further use of participatory methodologies.
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Austin, Andrew. "Process Capability in a Computer Integrated Manufacturing Cell." TopSCHOLAR®, 2014. http://digitalcommons.wku.edu/theses/1322.
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With the rise of automation in traditional manufacturing processes, more companies are beginning to integrate computer integrated manufacturing (CIM) cells on their production floors. Through CIM cell integration, companies have the ability to reduce process time and increase production. One of the problems created with CIM cell automation is caused by the dependency the sequential steps have on one another. Dependency created by the previous step increases the probability that a process error could occur due to previous variation. One way to eliminate this dependency is through the use of an in-process measuring device such as a Renishaw spindle probe used in conjunction with a computer numerical control (CNC) milling machine. Western Kentucky University (WKU) utilizes a CIM cell in the Senator Mitch McConnell Advanced Manufacturing and Robotics laboratory. The laboratory is located in the Architectural and Manufacturing Sciences department and gives students the opportunity to learn how automated systems can be integrated. The CIM cell consists of three Mitsubishi six-axis robots, a Haas Mini-mill, a Haas GT-10 lathe, an AXYZ, Inc. CNC router table, 120 watt laser engraver, an Automated Storage and Retrieval System (ASRS), material handling conveyor, and vision station. The CIM cell functions throughout the curriculum as a means for applied learning and research. The researcher used this CIM cell in order to determine if an in-process measuring device, such as the Renishaw spindle probe, had the ability to affect process capability. The researcher conducted the study to see if an in-process measuring device can be integrated into the CIM cell located in the Senator Mitch McConnell Advanced Manufacturing and Robotics laboratory to eliminate compounding variation. The researcher discovered that through the use of a Renishaw 40-2 spindle probe used in conjunction with a CNC Haas Mini Mill, process capability has the potential to be improved in a CIM cell by accounting for compounding variation present in the process.
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Minardi, Michael. "Comparing process capability : a c pk ratio approach." Honors in the Major Thesis, University of Central Florida, 2001. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/288.
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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.Bachelors
Arts and Sciences
Statistics
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Afsharizand, Behnood. "Manufacturing process planning based on machining capability profiles." Thesis, University of Bath, 2019. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767605.
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Manufacturing resources degrade continuously throughout their life. This may be due to external factors such as wear and vibration, or operator induced factors such as the selection of incorrect cutting parameters. Planning anufacturing processes based on nominal machine data, can as a consequence result in the generation of inefficient and infeasible manufacturing instructions and out-of-tolerance parts. A method to accurately represent the actual capability of resources is needed to effectively model the manufacturing resources to enable more accurate process planning. In this research a new framework for macro and micro process planning of CNC machining processes is proposed. The framework is based on a computer aided process planning system based on actual machine capability entitled CAPPable. Machining errors affecting the overall health of machines have been reviewed and identified. STEP-NC has been used to model the machining resources and their associated errors. A manufacturing capability profile has been designed in which it is possible to store the values which reflect the degradation of machining resources. CAPPable has been implemented as a STEP-Compliant prototype CAPP system for machining and validated on micro and macro levels. It has been demonstrated that using this framework, the current capability of resources can be accurately represented and can improve process planning effectiveness compared to using nominal manufacturing resource information. Through implementation of this framework, the capability of manufacturing resources can utilise resources to a far greater extent than currently possible. CAPPable has also been extended for use to generate improved part setup location routines for CNC machining.
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Frasson, Corinne 1976. "Value of process capability information and supplier selection." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/89265.
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Hix, Charles E. 1964, and Eric B. 1964 Kittleson. "Leveraging manufacturing process capability in integrated product development." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50403.
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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; and, Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.Includes bibliographical references (p. 73-74).
by Charles E. Hix, Eric B. Kittleson.
S.M.
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Zhang, Zheng. "A study of sample entropy towards process capability." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/20480.
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Master of ScienceIndustrial & Manufacturing Systems Engineering
Shing I. Chang
The process capability is a measurable property of a process related to the specification of a product. Traditionally, process capability analysis (PCA) measurements are expressed by a process capability ratio (PCR). When using a typical PCR to measure process capability, there are certain assumptions, and critics have been made towards PCR, that some the assumptions are violated. Much research has been conducted to ratify the situations when some of the assumptions are violated. This thesis, is going to demonstrate a research towards process capability using Sample Entropy method. The desirable outcome would be that this method can avoid violating the assumptions.
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Keraminiyage, Kaushal P. "Achieving high process capability maturity in construction organisations." Thesis, University of Salford, 2009. http://usir.salford.ac.uk/26755/.
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A move towards a process based view has been noted as the way forward to achieve the desired performance improvements in the construction industry. It has further been recognised that, it is important for the organisations to possess appropriate process capability maturity to embark on successful process improvement initiatives to achieve desired performance improvements. With the success of the software industry's Capability Maturity Model (CMM), other industries have attempted to map the principles of CMM as a basis for process improvement initiatives within their respective settings. Construction is not an exception; the same has been attempted within the construction industry through a research collaboration between academia and industry, under the name of SPICE (Structured Process Improvements in Construction Enterprises). Being a stepwise improvement strategy, the CMM consists of five maturity levels, where the first three levels have been identified as low maturity levels, while levels four and five have been named as high maturity levels. While the low maturity levels lay the foundation for organisations to attain continuous improvements successfully, the practices of the high maturity levels deploy the process improvements required to achieve substantial performance boosts. Despite the fact that achieving high maturity levels is of utmost importance to achieve continuous improvements, up till now, only the low maturity level practices of CMM have been mapped within the context of construction organisations, leaving its true potential unexplored as a construction process improvement initiative. In the light of the above, this research aimed at mapping the practices of CMM high maturity levels to construction organisations to achieve high process capability maturity within construction organisations. This research has adopted the grounded theory and case studies as the primary research methods. It used the hermeneutic spiral approach to operationalise the research. Accordingly, the empirical investigation of this research consisted of two phases. The first phase is a series of expert interviews followed by two case studies conducted during the second phase of the study. Data analysis in this research was based on the coding, content analysis and cognitive mapping techniques. To assist with the data analysis and presentation
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Jaša, Aleš. "1. Návrh kontrolních procesů vevýrobě bezpečtnostního ventilu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229782.
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The aim of this thesis is precise definition of control processes for components of Pressure Limit Valve 5 Generation (PLV5) which is produced by Bosch Diesel Ltd. in Jihlava. The objective was to define measurement methods which ensure identical results of measurement between co. Bosch Diesel Ltd. in Jihlava and suppliers of individual components. The results of this study are introduced into control drawings and described in individual conclusions of the thesis.
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Naish, Jane Catherine. "Process capability modelling for manufacturing process selection in an integrated simultaneous engineering workstation." Thesis, University of Strathclyde, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366813.
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Mulligan, Andrew Barton. "Investigation and Development of an Asset Capability Business Process." Thesis, University of Canterbury. Engineering Management, 2013. http://hdl.handle.net/10092/7454.
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A project was undertaken as part of the University of Canterbury Master of Engineering Management Programme that addressed the issue of how Orion New Zealand Limited can improve their asset capability information and associated business processes. An audit approach was used to review data quality and availability, information systems integration, management processes and information flows that would support the development and implementation of branch and cyclic/dynamic ratings. The project found the existing Orion environment does not fully support asset capability information management. Information systems are well integrated, complex and hold substantial, but incomplete asset capability data. Asset policies, plans and documentation are comprehensive, but do not specifically reference asset capability information. The project concluded implementing a full asset capability information management regime was not considered feasible at the time. However, there was merit in improving existing data acquisition, system integration and business processes to enable the development of asset branch and cyclic/dynamic ratings in order to enhance network utilisation. Recommendations focus on establishing a standard for asset capability information, improving information system solutions through further integration and refining existing business processes through incremental changes. Field-‐testing, computer modeling and load flow analysis on the effects of cyclic/dynamic ratings were recommended to confirm the merits of full implementation.
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Tata, Melissa M. 1975. "The effective use of process capability databases for design." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80635.
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Liu, Pang-Yen, and 劉邦彥. "Evaluating Measurement Capability Based on Process Capability Index Cpk." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/73207674782232176363.
Full textAbstract:
碩士國立勤益技術學院
工業工程與管理系
94
The measurement system analysis (MSA) is very important for quality improvement. A capable measurement system can be accurately to measure observed data. Normally, the evaluation standard of MSA by QS-9000 is used to judge the measurement capability. However, the current QS-9000 or ISO/TS16949 only refer to the acceptable range of P/T value, the relationship between Process capability index and P/T value had been rarely proposed. The thesis discusses the acceptable range of P/T value under satisfying customer’s Cpk requirement which considering process accuracy and precision. Firstly, the functional relation between Cpk and P/T value, Ca is derived. The approximate lower confidence limit of Cpk is used to determine the acceptable range of P/T value under observed Cpk values. To utilize the reasonal range to conduct a two factor experiment to evaluate if measurement system variation error is within the range. Finally, a case study is derived the implementing step of evaluating measurement capability.
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Liao, Mou-Yuan, and 廖茂原. "Process Capability Indices with Measurement Errors." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/60656444257923471640.
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博士國立交通大學
工業工程與管理系所
95
Process capability indices have been widely used in the manufacturing industry. Those capability indices, quantifying process potential and performance, are important for any successful quality improvement activities and quality program implementation. Most research works related to process capability analysis have assumed no gauge measurement errors. However, the quality of data on the process characteristics relies very much on the gauge measurement. Conclusions about capability of the process just only based on the single numerical value of the index are not reliable. In our research study, we conduct the performance of the estimators of the indices, Cp, Cpk, Cpu and Cpl with gauge measurement errors, and present adjusted confidence interval bounds and critical values for capability estimation or testing purpose of those indices with unavoidable measurement errors. Our research would help practitioners to determine whether the factory processes meet the capability requirement, and make more reliable decisions.
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Chiou, Yu Jen, and 邱渝媜. "Measuring the Capability of Process with Measurement Error." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/25024156653500749652.
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碩士華梵大學
工業工程與經營資訊學系碩士班
100
In recent years, lots of research papers with process capability indices have been proposed for assessing process performance in the manufacturing industry, but have been comparatively neglected for those with the presence of measurement errors. In this paper, we consider the process capability measure based on the incapability index Cpp (Greenwich and Jahr-Schaffrath (1995)) in the presence of gauge measurement errors. We investigate the effects of measurement errors on the estimation of Cpp. In addition, the critical values are derived and the upper confidence bounds for true Cpp are constructed for testing process capability. This methodology is useful for the practitioners to judge the present process capability and ensure the process yield when measurement errors are unavoidable.
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Rakhmawati, Dwi Yuli, and 呂估麗. "Assessing Process Capability for Asymmetric Tolerances with Gauge Measurement Errors." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/86732400480098055373.
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博士國立臺灣科技大學
工業管理系
103
Gauge measurement errors (GME) began to play an important role in many types of manufacturing industries because it would affect the estimation and assessment of the process capability. In recent years, the issue of process capability assessment in the presence of GME for cases with symmetric tolerances was investigated enthusiastically. However, even processes with symmetric tolerances are very common in practical situations, cases of asymmetric tolerances also occur in manufacturing industries. In this dissertation, generalized confidence interval (GCI), sampling distribution (SD), and modified sampling distribution (MSD) approaches are applied to assess the performances of processes with asymmetric tolerances in the presence of the GME. To examine and compare the performance of the proposed approaches, an exhaustive simulation under various conditions was conducted. The conclusion is that the proposed approaches appear quite satisfactorily for assessing process performance with asymmetric tolerances in the presence of GME in terms of the Coverage Rate (CR) and the Average Value of Lower Confidence Bound (AVLCB). Examples are presented to illustrate the applicability of the proposed approaches in real factory condition.
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Vermeulen, Andre. "An analytical instrument to measure the status of an organisation business process capability." Thesis, 2013. http://hdl.handle.net/10210/8431.
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D.Phil. (Engineering Management)This research has its roots in Engineering Management, where the premise of improving and managing efficiency, effectiveness, productivity and quality is the most common and accepted source of organizational excellence and performance. This dissertation addresses a new paradigm for competitive advantage – business processes capability. The notion of capability is first and foremost the primary differentiator of organisational competitiveness ensuring sustained long-term prosperity. The title of this dissertation is essentially imperative of every organisation functioning within the competitive domain to obtain business process capability. Where organisational capability and performance were traditionally considered antonymous, the assimilation of these two notions is fundamental to the assurance of long-term organisational prosperity. Organisations are required, now more than ever, to grow and ensure that optimisation is achievable through well-defined systems and supporting business processes. Organisations need to understand operational and individual business processes as well as their strategic impact they have on the entire supply network. The key to successful process decisions requires taking the following into consideration (a) the best fit for the situation (b) optimisation of one process at the expense of another, (c) processes are building blocks that create a total business value chain which include the cumulative phases of business processes affecting output, customer satisfaction and competitive advantage, (d) there is no distinction between any processes in the value chain either performed by internal or by outside suppliers, and (e) that managers must pay attention to interfacing all processes ensuring cross-functional coordination.
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Li, Yuan-Yi, and 李源翌. "Process Capability Measurement for Weibull Processes with Control Chart Mean Shift Consideration." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/66630631050969939598.
Full textAbstract:
碩士國立交通大學
工業工程與管理系所
95
The process capability indices have been proposed to assess the ability of a process to meet preset specification limits and provide quality assurance. The process capability index has been one of the most popular index used in the manufacturing industry dealing with problem of measuring reproduction capability of process to enhance product development with very low fraction of defectives(in Parts Per million; PPM). Motorola, Inc. introduced its Six Sigma quality initiative to the world in the 1980s. Some quality practitioners questioned why the Six Sigma advocates claim it is necessary to add a 1.5 shift to the average when estimating process capability. Bothe (2002) provides a statistical reason for including such a shift in the process average that is based on the chart’s subgroup size. Data in Bothe’ study was assumed to be approximately normally distributed. What affects on process capability estimates when the process output is not from approximate normally distribute. This paper calculate the mean shift adjustments and addresses this problem computing reliable estimates for capability index for non-normal (Weibull、beta and F distribution) process when the statistically adjustments is considered. For illustration purpose, an application example is presented.
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Lin, Shao-An, and 林紹安. "A Comparative Study on Methods for Measuring Process Capability with Gauge Measurement Errors." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/57298196280149358715.
Full textAbstract:
碩士逢甲大學
工業工程與系統管理學研究所
96
Abstract Using process capability indices (PCIs) to quantify manufacturing process yield and performance has received considerable research attention and increased usage in process assessments and purchasing decisions. Up to the present, most research works on process capability analysis have assumed the observed data is free from measurement errors. But this assumption does not reflect adequately real situations even with highly sophisticated and precise measuring instruments. It could result in a serious loss to producers if guage measurement errors are not considered in process capability estimation and assessment. Thus, how to measure accurately process capability in the presence of measurement errors becomes an essential task. In this thesis, we first give a brief review and discussion on the literature of three methods for measuring process capability based on index Cpm in the presence of measurement errors. The three methods investigated in this study for obtaining confidence intervals of process capability index are sample estimation method (SEM), conservative estimation method (CEM) and generalized confidence intervals method (GCI). A series of simulations is conducted to examine and compare the performance of these three methods by the expected value of lower confidence bound and coverage rate (CR). According to the simulation results, several conclusions and recommendations are made to provide simple guidelines for assessing process capability. Keywords: Coverage rate, generalized confidence intervals, lower confidence bound, measurement errors, process capability.
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Chien, Wei-chen, and 簡偉宸. "A Comparison of Methods for Measuring Process Capability Index Cpk in the Presence of Measurement Errors." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/16200936465235489345.
Full textAbstract:
碩士逢甲大學
工業工程與系統管理學研究所
95
Process capability indices have been widely used to provide numerical measures on process performance in the manufacturing industry. Most of research works on process capability analysis have assumed no gauge measurement errors. Such assumption does not reflect adequately real situations because measurement errors unfortunately cannot be avoidable in most manufacturing processes. Analyzing process capability without considering gauge measurement errors may often lead to unreliable decisions. Thus, how to measure accurately process capability in the presence of measurement errors becomes an essential task. In this paper, we first give a brief review and discussion on the literature of process capability and measurement system analysis. Furthermore, three methods for measuring process capability based on the most widely index Cpk in the presence of gauge measurement errors are introduced and discussed, two based on the sampling distribution given in Pearn and Liao (2005), (referred to as MAX and SD) and one based on the idea of generalized pivotal quantities (GPQ) to construct the generalized confidence interval (GCI). An exhaustive simulation has been conducted to compare the performance of these three methods with various parameter settings in terms of mean value of the lower confidence bound (LCB) and coverage rate (CR). The results indicate that GCI method can provide more reliable lower confidence bound, and the coverage rates are close to the normal confidence level in most cases, although slightly conservative in a few cases. The overall conclusion is that the GCI method is quite satisfaction for obtaining lower confidence bounds of Cpk when measurement errors are present or unavailable.
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Wang, Shu-Chi, and 王姝琪. "Process Capability Indices." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/31165410872724977863.
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Chen, K. S., and 陳坤盛. "Process Capability Indices." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/75435054946035602254.
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博士國立交通大學
工業工程研究所
84
Process capability indices (PCIs), whose initial purpose is to provide a numerical measure on whether a production process is capable of producing items within the specification limits preset by the designer. In chapter 1, we review several existing process capability indices with symmetric tolerances. In chapter 2, we review several existing process capability indices and proposed a new class of capability indices to handle processes with asymmetric tolerances. The proposed new indices are compared with the existing PCIs in terms of process yield, process centering, and other process characteristics. The results indicated that the new indices are superior to the existing capability indices. In chapter 3, we investigate the statistical properties of the estimators of the several existing process capability indices with symmetric tolerances. In addition, we considered a new (Bayesian-like) estimator Cpk to relax Bissell''s assumption on the process mean. It can be showed that by adding a well-known correction factor bf to the new estimator, we obtained an unbiased estimator of Cpk whose standard deviation is smaller than those given in Bissell (1990) and Kotz, Pearn and Johnson (1993). The variability reduction of the estimator provides a greater reliability in current practices of using Cpk to monitor process quality. In chapter 4, we investigate the statistical properties of the natural estimators of the new class of capability indices. In chapter 5, we first investigated Clements'' method for calculating the estimators of the four capability indices, Cp, Cpk, Cpm, and Cpmk for non-normal Pearsonian populations. Then, we considered a new estimating method to calculate estimators of the four capability indices for non-normal Pearsonian populations. The analysis showed that the estimators calculated from the proposed new method can differentiate on-target processes from off-target processes better than those obtained by applying Clements''method.
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Mackertich, Neal A. "Virtual process capability." 1998. https://scholarworks.umass.edu/dissertations/AAI9841892.
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The quality cost of non-conformance associated with first run production builds is typically more than five times that of later production runs. If a manufacturing organization is to gain market share and increase its profitability, it must explore methods of accelerating its learning curves through defect prevention. Current "Transition to Production" concept methodologies attempt with limited success to accelerate organizational learning through Design for Manufacturability (DFM), design phase dimensional management studies, manufacturing floor statistical methods (SPC, DOE, etc.), and various qualitative strategies. While each of these techniques are effective to some degree in reducing future nonconformances, an integrated, design-phase approach utilizing current technology is needed. "Virtual Process Capability" (VPC) is a methodology for integrating statistical process capability knowledge directly into the hardware design phase, resulting in the improved performance and reduced product costs typically associated with mature product manufacturing. The intent behind the methodology is to realistically simulate the manufacture of hardware products by understanding their underlying model equations and the statistical distributions of each involved contributing parameter. Once each product has been simulated and an expected percentage defective has been estimated, mathematical programming and statistical quality engineering techniques are then utilized for improvement purposes. Data taken from the practical application of this methodology at Raytheon Aircraft has conservatively estimated that for each dollar invested ten are saved. As a technical extension to this developed methodology, statistical insights and methods are provided as to how product and process improvement analysis is best accomplished. Included within this area of discussion is the statistical development and validation of improved measures for the more efficient detection of dispersion and mean effects than that of more traditional methods. Additionally, the use of mathematical programming techniques is creatively employed as an improved mechanism in the optimization of nominal-the-best type problems.
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Lin, Po-Chuan, and 林柏全. "Process capability index under deterioration process." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/72642316023355344052.
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碩士逢甲大學
工業工程與系統管理學研究所
97
Conventional process capability indices (PCIs), such as Cp, Cpk and Cpm, have been used widely and successfully in most of today’s manufacturing sectors. These process capability indices, however, can only measure the process consequence resulting from various combinations of process mean and process variance on site by measuring the output without concern as to cost. Hence, a process capability index, Cpmc, is developed. However, during production process, the quality value of output may change as time passes due to process deterioration, leading to unexpected product failure that is usually costly in both time and money. As is known, changes in process means acquired quality loss and variability, while process tolerance has an effect on tolerance-related costs and quality loss. Because there exists a dependency among time, initial setting of process mean, process mean, and process tolerance, they have to be determined simultaneously. Thus, in this study, the influence from process deterioration is built into Cpmc expression for a life cycle consideration. Consequently, a high quality but low cost process design can be achieved during the early stages of product design and process planning.
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Ming, Chung Hung, and 洪明忠. "Integrated Process Capability Analysis." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/15825189557680905585.
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碩士國立臺灣科技大學
工業管理系
92
Statistical process control（SPC）is broadly used in controlling and improving process capability in the manufacturing industry. The process capability indices have been used in the quality control by most engineers that to evaluate a production process whether it is capable or not. The customer purchases an entire product consisting of many characteristics. Hence, we develop a formula for the process capability of an entire product, and obtain an integrated process capability index. First, the existing process capability indices including unilateral, symmetric bilateral, and asymmetric bilateral are reviewed. Additionally, the work describes the existing methodologies assessing process capability for a multi-process product, and addresses the existed methodologies evaluating the integrated process capability for a product, because of the product complexity is not always useful in the multivariate condition. A case study is also presented to illustrate the effectiveness of the proposed integrated capability index. This index including weighted geometric mean and weighted arithmetic mean method can be applied to any products. It is believed that this procedure and methodology is helpful and can provide great insight for quality improvement.
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Liu, Kuan-Ting, and 劉冠廷. "Equipment of Motor power Measurement Capability." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/33711597266962154759.
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碩士國立勤益科技大學
工業工程與管理系
100
The study is based on ISO Guide to the Expression of Uncertainty Measurement,set into the process capability (Cp) and Chen (2002) which proposed the process indicators values and their corresponding quality status and signal table. Organize out of six steps construct a simple assessment model in the light electric vehicle motor power measurements. Expected this assessment model, can be used to improve electrical power measurement capability for the testing laboratory.
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Chou, Chiun-Haw, and 周君豪. "Two Improved Process Capability Indices." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/60001978684336889463.
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碩士國立交通大學
統計所
89
A new measure of the process capability, $C^{*}$, that takes into account the distance between the target value and mean as well as the process variation is proposed for assessing the process performance. When the target value is equal to the process mean, $C^{*}$ is the same as Cpk. We derive the density of C* by partitioning the domain of \hat{mu} into three parts. The expected values of $\hat{C}^{*}$ and $\hat{C}_{pk}$ under large sample assumption and mu=T>M, where M is the midpoint of the two specification limits, are accounted. Then, another improvement of Cpk, C**, is proposed. Also, we compare the expected values of $\hat{C}^{**}$ and $\hat{C}_{pk}$ under large sample assumption and mu=T>M. Finally, we apply bootstrap methods to give the confidence intervals for C* and C** and compare their lengths with Cpk in the particular case.
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Hsu, Chang-Hsien, and 許昌賢. "Process Capability Analysis for a Multi-process Product." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/64453242026269343658.
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碩士國立勤益技術學院
工業工程與管理系
92
In the paper, we proposed a flow path to evaluate the process capability of an entire product composed of multiple process characteristics. There are 6 steps in the flow path. Whether process data comply with a normal distribution or a non-normal distribution, the flow path can be applied. Based on Cpu, Cpl, Cpn, the research aims to develop a Multi-process capability analysis chart (MPCAC) model to evaluate process capability in a normal distribution. Similarly, the research aims to define Non-normal multi-process capability analysis chart (NMPCAC) to evaluate process capability in a non-normal distribution based on Npu, Npl, Npn.
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Wang, Yung Chun, and 王勇淳. "Process Capability Indices for Process Quality as Linear Profile." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/73973608857299413680.
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碩士長庚大學
工商管理學系
98
To quantify the process’s performance and provide a common standard of product quality for suppliers and customers, we use process capability indices. In most of process capability indices researches usually considered product with a single characteristic or multiple characteristics. In practical situations, however, the product in a process might be characterized by a linear function, called linear profile. The objective of this research is to develop the process capability indices for a process with products characterized by a linear profile. We use two methods to construct the specification limits of sample intercept and sample slope. And we propose the process capability indices for product with linear profiles. Our indices are easily to be calculated. Finally, we use a realistic example to demonstrate our approaches for evaluating the performance of a process when its product has a linear-profile characteristic.
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Chiang, Chun-Ta, and 江俊達. "Bayesian Approach for Process Capability Assessment." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/53333911127425160612.
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Cho, Chih-Hung, and 卓志鴻. "Process Capability Indices for Correlated Data." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/90579209806203779925.
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碩士國立雲林科技大學
工業工程與管理研究所
87
ABSTRACT Statistical techniques applied to industrial process control have been revitalized due in part to effort by Deming. One of these techniques is the analysis of process capability indices. In many industrial processes, the quantification of process location and variation is central to under standing the quality of units produced form a manufacturing process. Usually the process mean and standard deviation are two important parameters to measure the process quality. From a practical view point sample mean and sample standard deviation ,which are the general estimator for process mean and standard deviation respectively,are not unitless and sometimes are not convenient summary statistics when hundreds of characteristics in a plant or supply base are considered. In many situations, capability indices can be used to relate the process mean and standard deviation to engineering specifications that many include unilateral or bilateral tolerances with or without a target value. The resulting indices are unitless and provide a common and easily understood language for quantifying the performance of a process. Various process capability indices have been applied to measure the process performance in Japan, U.S.A. and the other countries. In the applications of process capability indices, it is usually assumed that there is no correlation among the measurements within a sample, i.e., the measurements within a sample are independently distributed. However, in practice this assumption may not be tenable. It would be more appropriate to assume that each sample is a realization of a multivariate normal random vector. The purposes of this project are: (1)to investigate the effect correlation on the process capability indices, and (2)To examine the uses of the process capability indices, along with their sampling properties and estimation procedures, when correlation within a sample exists.
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Meng, Mei-pin, and 孟美斌. "Study of Multivariate Process Capability Indices." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/78511201269933889161.
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碩士國立雲林科技大學
工業工程與管理研究所碩士班
92
Process capability analysis is an important section of statistic process control. It is often indicated a capability that the manufacture process conforms the product’s specification by some process capability indices. The initial concept of process capability index was presented by Juran in 1974. Multivariate process control resulted from the process is complex continuously. It involved to use multivariate process control charts and multivariate process capability indices to measure the process capability of multi-quality characters. We can distinguish the quality characters and applicative type from the process capability indices. This study emphasized multivariate process capability indices and conferred on the characters and applications of capability indices. First, we arranged and reviewed the multivariate process capability indices scholars presented from 1991 to 2003. Then we conferred on six multivariate process capability indices and received the general results of capability indices by simulation. We found that can’t judge the process capability correctly. The indices of process region ratio had difference as the different methods calculate the process region. In general, the indices of process region ratio can estimate the process capability accurately. is steadier than because is easy to over-estimate the process capability. But has a complex calculation. If the practicers want to know the process conform to the specification and don’t care the process deviated the target, they can choose the indices that and are easy to calculate. Hopefully, this study can offer the company to perform multivariate process capability indices measurement. They can handle the quality situation of process and receive the standard of specification to assume the products quality and prevent the inconformity.
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Chen, Mei-Hsueh, and 陳美雪. "Process Capability Assessment by Symmetric Quantiles." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/29147813698825729968.
Full textAbstract:
碩士國立交通大學
統計所
89
C(p), C(pk), C(pm), and C(pmk) are the four commonly used process capability indices (PCIs) used in industrial applications. Clements (1989) proposed a method assuming that the process distribution can be characterized by a Pearsonian distribution. The main idea of Clements’ method is to replace 6σ by U(p)-L(p) and μ by M. Clements (1989) applied this method to C(p) and C(pk). Pearn and Kotz (1994) extended the method to C(pm) and C(pmk). In this paper, we assess process capability by symmetric quantiles proposed by Chen and Chiang (1996), more specifically, we define C(p), C(pk), C(pm), and C(pmk) in terms of symmetric quantiles. We consider both the mean and target as the center of the symmetric quantiles, respectively. From Chen and Chiang (1996), we can get asymptotic variances of the sample interval lengths of the ordinary quantiles and the mean-based symmetric quantiles respectively. In this paper, we also derive asymptotic variance of the sample interval length of the target-based symmetric quantiles. Comparing the above three estimators, we find that asymptotic variance of the sample interval length of the target-based symmetric quantiles is the smallest. We also compare the performance of quantile-based PCIs by simulation. We find that symmetric quantiles performs better than the ordinary quantiles, and for most cases, the target-based symmetric quantiles performs better than the mean-based estimator. We also construct a confidence interval of PCIs by bootstrap methods. Finally, as an illustrative example, we calculate PCIs for a real data set given in Pearn and Kotz (1994).
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Chung-ChengKuo and 郭宗承. "Quantum Process Capability and Its Applications." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/q4m8t4.
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Yang, Hwei-Ping, and 楊惠萍. "Process Capability Indices with Fuzzy Numbers." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/96362200453782833931.
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碩士國立成功大學
統計學系碩博士班
94
Process capability indices (PCIs) are the most commonly used method to measure process capability in quality control. There are many important research efforts whether in the theory or in practice. Traditionally, PCIs are constructed with observations which are crisp numbers. But the error exists during observational process. Statistics cannot avoid the non-sampling error. Therefore the fuzzy set theory is introduced into our study to construct PCIs, when data are non-precise. While observations are regarded as imprecision, clear-cut numbers are replaced by fuzzy numbers through operation on the fuzzy set to compute fuzzy process capability indices, then we discussion the fuzzy percentage of non-conforming and fuzzy statistical inference for fuzzy PCIs. Fuzzy process capability indices can also display the performance of process capability. Thus, traditional crisp process capability indices are a special case for fuzzy process capability indices.
50
Huang, Hsin-Hsien, and 黃信憲. "Process Capability Indices with Cost Effectiveness." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/44752162874259767604.
Full textAbstract:
碩士逢甲大學
工業工程學系
89
Recently, Facing the global competitions, the concept of concurrent engineering is widely applied in the development of a new product. This study is focus on the new product developing stage and the issues regarding process planning. In most of previous studies, the Process Capability Indices (PCI) was only used to measure quality of the on-line products. Few were focus the off-line products. The study uses the PCI with cost effectiveness to set up the process planning and to predict the good quality rate for a new product in the product designing stage. The company could introduce the new products to the marketplace as soon as possible and would be able to take cost and quality into account. As a result, the new products will have the attributes of quick release, low cost, and high quality. From this study, we are able to get the optimization process tolerance of the PCI with cost effectiveness when we use the new method of process planning by putting the cost factor into the PCI. This approach could avoid the impact on optimization process planning while there is estimation error on parameter K on quality loss function. It also approves that the PCI could be appropriately applied on the off-line product design and planning and get the optimization process tolerance.