The aim of the course is to introduce students to the quality mindset, the fundamentals of quality management, and the operation of quality management systems. Students will also become familiar with the different types of quality management systems, their most important methods and techniques. They will learn about the structure of standards and gain deeper knowledge of the requirements and standards applied in the automotive industry. In addition, they will acquire practical knowledge about the processes related to establishing, implementing, and maintaining such systems.
Quality Management (GAJABAN-MINOSEGU-1)
Basic data
Name and type of the study programme
Vehicle Engineering, undergraduate program
Curriculum
2023
Classes / consultation hours
2 + 1 + 0 (L+S+Labs)
Credits
3 credits
Theory – Practice
Theory: 67%, Practice: 33%
Recommended semester
Semester 5
Study mode
full-time
Prerequisites
–
Evaluation type
Colloquium
Course category
Compulsory
Language
English
Instructors
Responsible instructor
Dr. Líska Katalin
Responsible department
Innovatív Járművek és Anyagok Tanszék
Instructor(s)
Radics Renáta
Checked by
Kelemen János
Course objectives
Course content
Lectures
Introduction to quality management History and philosophy of quality management Development of the interpretation and realization of quality Basic concepts. Types of customers and their needs Quality management systems, standards in the automotive industry Standardization Product reliability (case study) Documentation Types of inspection Process control. Capability, control. Six Sigma Total Quality Management (TQM). Quality awards Quality techniques and tools
Seminars
Introduction to quality management History and philosophy of quality management Development of the interpretation and realization of quality Basic concepts. Types of customers and their needs Quality management systems, standards in the automotive industry Standardization Product reliability (case study) Documentation Types of inspection Process control. Capability, control. Six Sigma Total Quality Management (TQM). Quality awards Quality techniques and tools
Acquired competences
Knowledge
The student understands the fundamental principles, philosophy, and historical development of quality management. They are familiar with the different approaches to defining quality and the role of customer requirements in quality determination. They gain knowledge of the structure of quality management systems and standards, with particular focus on automotive industry requirements. They understand the basics of standardization, documentation systems, as well as fundamental quality tools, inspection methods, and process control techniques.
Skills
–
Attitude
The student is open to adopting quality-oriented thinking and applying a customer-focused approach in practice. They are committed to complying with standards and regulations and consider accurate and transparent documentation important. They show interest in continuous quality improvement and in learning about solutions applied in modern industrial practice.
Autonomy and responsibilities
The student is able to independently interpret and apply basic quality management concepts and methods. They act responsibly in following standards and regulations, recognizing the importance of accuracy and data-driven decision-making. In their studies and professional tasks, they strive to consistently apply a quality-focused mindset and take responsibility for the reliability of their own work.
Additional professional competences
The student is capable of independently understanding and applying basic quality management systems and standards in engineering tasks. They are able to use documentation and inspection methods, recognize the importance of process control, and identify opportunities for improvement. They acquire a solid foundation for learning more advanced quality management methods later on.
Requirements, evaluation and grading
Mid-term study requirements
During the semester, students have one opportunity to take a midterm written test, which is worth 50 points. The minimum passing score is 26 points. In addition, presenting a lecture on a selected topic is mandatory, with a maximum of 40 points. Students must choose the topic by the given deadline. Furthermore, class participation and activity throughout the semester are also evaluated, with a maximum of 10 points.
Exam requirements
–
Generative AI usage
1st position: Use of GAI tools is not permitted for solving assignments. This means GAI tools cannot be used to complete formative or summative assessments, and using GAI constitutes academic misconduct. The use of AI tools for spelling and grammar checking does not fall under this prohibition.
Study aids, laboratory background
–
Readings
Compulsory readings
Bedzsula Bálint – Dr. Topár József – Dr. Tóth Zsuzsanna Eszter: Minőségmenedzsment, BME jegyzet, 2018.
Recommended readings
–