Course detail

Maintenance Quality/Reliability Management

FSI-XMSAcad. year: 2013/2014

The subject is focused on the most advanced knowledge of current maintenance quality/reliability management. Emphasis is mainly laid on maintenance quality/reliability management, finance, maintenance performance and its evaluation based on operating reliability. The students are familiarized with the new approaches, for example, maintenance benchmarking applications. Also, the questions about maintenance claims, quality and reliability management in preventive/consecutive maintenance technology are discussed. Attention is also paid to applying information technologies and maintenance quality.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Learning outcomes of the course unit

A student acquires comprehensive and complex theoretical knowledge of maintenance quality/reliability management which can apply in industrial mechanical/electrical engineering practice to solve different problems related to the aforementioned topics.

Prerequisites

Knowledge of mathematics and physics at a level of university study. Also, the knowledge of the aforementioned special field in a scope of the previous bachelor study and Reliability I and Service and Maintenance of Machines subject is expected.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline.

Assesment methods and criteria linked to learning outcomes

The subject consists of lectures completed by an examination. The examination is based on a written test, and the student may achieve the scoring of up to 100. The final scoring rate of the examination shall be classified according to the ECTS grading system.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The objective of the subject is to acquire the knowledge of maintenance quality/reliability management. The subject partly continues in Reliability I subject as well as Theory of Maintenance in the framework of the bachelor’s study.

Specification of controlled education, way of implementation and compensation for absences

Only knowledge of the students shall be verified in the examination.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

LEGÁT, V., POŠTA, J., JURČA, V., FLEGL, R. a HRNČÍŘ, P. Systémy managementu jakosti a spolehlivosti v údržbě. 1. vydání. Praha: Česká společnost pro jakost, 2007. 192 s. ISBN 978-80-02-01949-7. (CS)

Recommended reading

HELEBRANT, F. Technická diagnostika a spolehlivost, IV. Provoz a údržba strojů. 1. vydání. Ostrava: VŠB – Technická univerzita Ostrava, 2008. 130 s. ISBN 978-80-248-1690-6. (CS)
NYMAN, D. and LEVITT, J. Maintenance Planning, Coordination and Scheduling. Industrial Press Inc., U.S. 2010. 300s. ISBN 978-0831134181. (EN)
RAHEJA, D. Design for Reliability (Quality and Reliability Engineering Series). 1. edition. Wiley. 2012. 336 p. ISBN-13: 978-0470486757. (EN)
SUMMERS, D. Quality Management. 2. edition. Prentice Hall. 2008. 592 p. ISBN-13: 978-0135005101. (EN)

Classification of course in study plans

  • Programme N2301-2 Master's

    branch M-KSB , 2 year of study, summer semester, compulsory

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

Syllabus

1.Principal knowledge summary in quality/reliability theory
2.Principal knowledge summary in maintenance theory
3.Quality/maintenance management
4.Finance/maintenance management
5.Maintenance performance and its evaluation based on operating reliability
6.Maintenance benchmarking
7.Maintenance claims
8.Quality/reliability management in maintenance technology
9.Preventive maintenance technology, technical diagnostics
10.Consecutive maintenance technology
11.Maintenance quality/reliability management supported by PC
12.Information technology application in maintenance quality/reliability system
13.Maintenance data analysis, MS Excel utilization in maintenance data analysis