Statistické zpracování atributivních dat o zmetkovitosti procesu
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Vysoké učení technické v Brně. Fakulta strojního inženýrství
Abstract
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This master’s thesis deals with a statistical analysis of the private company’s data about product defect rate and mistakes found during final quality inspection. It describes the product and its manufacturing process in process flow chart, which are furthermore used for statistical analysis. It uses a method of statistical hypothesis testing to prove statements about company’s data. Data analysis aims to figure out if there is any difference in selected categories, this is linked to Pareto diagrams. The conclusion summarized the knowledge gained and results of data analysis.
This master’s thesis deals with a statistical analysis of the private company’s data about product defect rate and mistakes found during final quality inspection. It describes the product and its manufacturing process in process flow chart, which are furthermore used for statistical analysis. It uses a method of statistical hypothesis testing to prove statements about company’s data. Data analysis aims to figure out if there is any difference in selected categories, this is linked to Pareto diagrams. The conclusion summarized the knowledge gained and results of data analysis.
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Citation
KULESHOVA, A. Statistické zpracování atributivních dat o zmetkovitosti procesu [online]. Brno: Vysoké učení technické v Brně. Fakulta strojního inženýrství. 2023.
Document type
Document version
Date of access to the full text
Language of document
en
Study field
bez specializace
Comittee
doc. Ing. Pavel Charvát, Ph.D. (předseda)
doc. Ing. Vítězslav Máša, Ph.D. (místopředseda)
doc. Ing. František Lízal, Ph.D. (člen)
doc. Ing. Jiří Šremr, Ph.D. (člen)
doc. Ing. Vít Jan, Ph.D. (člen)
Date of acceptance
2023-06-20
Defence
The student presented the thesis and answered the reviewer's questions, after which the committee members asked the following questions.
Question 1: What can you say when the p-value is above the selected threshold (5 %)?
Student provided a satisfactory answer.
Question 2: You present the p-value of 0, is it exactly 0?
Student provided an excellent answer.
Question 3: Who did discover what is referred to as "mistakes"? Customers or someone else? Did you account for undetected mistakes?
Student provided a good answer.
Question 4: Were the results applied in practice at the company?
Student provided a good answer.
Question 5: Do you have data available for the mistakes reported by customers?
Student provided a good answer.
Result of defence
práce byla úspěšně obhájena
Document licence
Standardní licenční smlouva - přístup k plnému textu bez omezení