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Statistical analysis in quality management
Chlebounová, Klára ; Knobloch, Josef (referee) ; Zahálka, Jiří (advisor)
The goal of this thesis is to create a literary research on the methods of statistical data processing in the field of quality management and to make their overview along with the possibilities of using them. A practical example shows how to determine manufacturing process stability and qualification determining, using the Shewhart’s control chart and capability indexes. This methodics should serve as a guideline for manufacturing process evaluation. As a brief summary of generally used statistical data processing methods, this thesis should serve all, who are engaged in quality management.
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Statistics Control of Process Described by Attributive and Continues Variable
Blachut, Vít ; Martišek, Karel (referee) ; Bednář, Josef (advisor)
The principle of the statistic hypothesis testing is explained in the first part of this bachelor thesis. Specifically, there is explained into depth the independency test for discrete probability distribution and its possible application on the real data. The second part of this bachelor thesis is dedicated to the monitoring of the stability process, using the control charts that are primarily used for assessing the process to be stable or beyond control. The focus is especially on chosen construction diagrams deduction. The suitable diagrams are then applied on the real process data, and later there are implemented tests of definable causes. The bachelor’s thesis was supported by project from MSTM of the Czech Republic no. 1M06047 Center for Quality and Reliability of Production.
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Control charts based on Bayes approach
Michálek, Jiří
An algorithm for detecting changes in the behaviour of a random variable based on the Bayes approach is suggested in the report and then is applied to construction of control charts for averages and standard deviation
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The Six Sigma methodology
Zajícová, Hana ; Jarošová, Eva (advisor) ; Malá, Ivana (referee)
Bachelor thesis deals with the desription of the statistical foundations and individual steps of Six Sigma, which are descibed by the DMAIC model. The thesis focuses on statistical process control and control charts. The main goal is to evaluate the possible use of control charts for attributes, namely the control chart for fraction nonconforming or p-diagram and to describe its properties expressed by the operating characteristic (OC). The influence of the sample size on the OC curve is examined. The last part of this theses deals with the desription of the xi-diagram as an alternative of the p-diagram. The properties of this alternative and classical p-diagram are compared.
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