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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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Usage of Statistical Methods to Assure Capability of Production Process
Kuthanová, Dominika ; Baranová, Zuzana (referee) ; Doubravský, Karel (advisor)
The aim of bachelor´s the thesis is to evaluate the quality of production using tools of statistical process control and to propose possible measures leading to its improvement. The thesis uses the following statistical tools: control charts, normality tests and capability indexes. The bachelor´s thesis also clarifies the principle of Six Sigma methodology. The output of the thesis is the proposed application of following tools: target control carts and the Cpm index for statistical process control of the researched company.
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Mathematical Models of Process Capability
Horník, Petr ; Hübnerová, Zuzana (referee) ; Bednář, Josef (advisor)
Firstly, we deal with the verification of normality and other necessary prerequisites needed in this thesis. We also introduce transformations to converse non-normally distributed data to normal and continue with capability analysis. We describe the design of control charts, useful tools to assess process stability. They help us to eliminate assignable causes and leave only chance causes in process. We obtain process in control state. Finally, we introduce both capability and performance ratios for both normal and non-normal data, and analyse some of their properties. At the end of the thesis, we prove acquired knowledge by performing capability analysis of real process.
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Usage of Statistical Methods to Assure Capability of Production Process
Kuthanová, Dominika ; Baranová, Zuzana (referee) ; Doubravský, Karel (advisor)
The aim of bachelor´s the thesis is to evaluate the quality of production using tools of statistical process control and to propose possible measures leading to its improvement. The thesis uses the following statistical tools: control charts, normality tests and capability indexes. The bachelor´s thesis also clarifies the principle of Six Sigma methodology. The output of the thesis is the proposed application of following tools: target control carts and the Cpm index for statistical process control of the researched company.
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Mathematical Models of Process Capability
Horník, Petr ; Hübnerová, Zuzana (referee) ; Bednář, Josef (advisor)
Firstly, we deal with the verification of normality and other necessary prerequisites needed in this thesis. We also introduce transformations to converse non-normally distributed data to normal and continue with capability analysis. We describe the design of control charts, useful tools to assess process stability. They help us to eliminate assignable causes and leave only chance causes in process. We obtain process in control state. Finally, we introduce both capability and performance ratios for both normal and non-normal data, and analyse some of their properties. At the end of the thesis, we prove acquired knowledge by performing capability analysis of real process.
|
|
|
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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