152-0915/02 – Selected Methods and Techniques for Quality Assurance (VM a TZJ)
| Gurantor department | Department of Business Administration and Law | Credits | 10 |
| Subject guarantor | doc. Ing. Pavla Macurová, CSc. | Subject version guarantor | doc. Ing. Pavla Macurová, CSc. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 2013/2014 | Year of cancellation | 2021/2022 |
| Intended for the faculties | EKF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The subject is taught in doctoral study level. The absolvent will obtain the ability to identify the problems with quality, to find the appropriate combination of methods for problem analysis and its solving, as well as the skills for application the methods and for results synthesis.
Teaching methods
Individual consultations
Summary
Předmět je zaměřen na postupy při zajišťování a zlepšování jakosti a na vhodné metody a techniky v této oblasti. Zahrnuje metody a techniky využívané při plánování jakosti, při měření a hodnocení jakosti, při analýze a diagnostice procesů a při zlepšování jakosti.
Důraz je kladen na nepřetržitost procesu zlepšování a na aplikaci statistických metod.
Compulsory literature:
Bugler, J.: Quantitative methods for business and management. Pearson Education Limited, 2012.
Recommended literature:
Dale, B. G. - Wiele, T., - Iwaarden, J.: Managing Quality. Blackwell Publishing, 2007.
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Study additional literature.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Methodology of continuos quality improvemet.
2. approaches Kaizen and Six Sigma.
2. Statistical fundamental of quality analysis.
3. Methods and techniques of quality assurance in products and processes designining(QFD, DOE, FMEA, FTA, value engineering, poka-yoke etc.).
4. Statistical and graphical tools for quality analysis.
5. Information technology for quality measurement and analysis.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.