Modern technologies ensure the quality of transport vehicles

Muzdybaeva Alfia Seytkyzy

The instructor profile

Description: Quality ensuring methods for transport machines at the life cycle stages, applied technical means, technological equipment and information support. Quality control of transport engineering products at the production stages. Efficiency of quality assurance methods, which applied in production.

Amount of credits: 5

Пререквизиты:

  • Motor Cars Design

Course Workload:

Types of classes hours
Lectures 30
Practical works 15
Laboratory works
SAWTG (Student Autonomous Work under Teacher Guidance) 30
SAW (Student autonomous work) 75
Form of final control Exam
Final assessment method exam

Component: University component

Cycle: Profiling disciplines

Goal
  • - formation system of scientific and professional knowledge and skills in quality management system on the basis of use modern tools, particularly the implementation of the process approach in various fields.
Objective
  • - characterization of the quality management systems, - development of methods of the quality management systems analysis; - develop the skills system integrators a process approach to the design; - develop the undergraduates' ability to independently acquire and deepen the knowledge gained from the study of the course.
Learning outcome: knowledge and understanding
  • information about scientific and professional methods in modern technologies of transport vehicles quality ensuring;
Learning outcome: applying knowledge and understanding
  • Skills: сalculate chart data, understanding of the requirements in the field of quality management, development of methods used in systems management, knowledge and application of methods for analyzing and synthesizing information to solve scientific and technical problems in the field of improving the quality and efficiency of production processes, to improve them.
Learning outcome: formation of judgments
  • the ability to take technical, economic and administrative decisions; apply their knowledge in real life.
Learning outcome: communicative abilities
  • teamwork skills
Learning outcome: learning skills or learning abilities
  • ability to pursue doctoral studies
Teaching methods

When conducting training sessions, it is planned to use the following educational technologies: - Innovative technologies and analytical methods used in modern quality assurance technologies

Assessment of the student's knowledge

Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.

Period Type of task Total
1  rating Fishbone Diagram 0-100
Check Sheet
Control Chart
Histogram
2  rating Stratification Diagram 0-100
Pareto Chart
Scatter Diagram
Defect concentration diagram
Total control Exam 0-100
The evaluating policy of learning outcomes by work type
Type of task 90-100 70-89 50-69 0-49
Excellent Good Satisfactory Unsatisfactory
Evaluation form

The student's final grade in the course is calculated on a 100 point grading scale, it includes:

  • 40% of the examination result;
  • 60% of current control result.

The final grade is calculated by the formula:

FG = 0,6 MT1+MT2 +0,4E
2

 

Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;

E is a digital equivalent of the exam grade.

Final alphabetical grade and its equivalent in points:

The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:

Alphabetical grade Numerical value Points (%) Traditional grade
A 4.0 95-100 Excellent
A- 3.67 90-94
B+ 3.33 85-89 Good
B 3.0 80-84
B- 2.67 75-79
C+ 2.33 70-74
C 2.0 65-69 Satisfactory
C- 1.67 60-64
D+ 1.33 55-59
D 1.0 50-54
FX 0.5 25-49 Unsatisfactory
F 0 0-24
Topics of lectures
  • Basic concepts
  • Perceptions of ISO 9000 and its derivatives
  • Role, origins and application of ISO/TS 16949
  • Quality management system
  • Management responsibility
  • Resource management
  • Product realization
  • Measurement, analysis and improvement
  • Q7: The seven basic tools of quality
  • Planning techniques
  • The Deming or PDCA cycle
  • Control techniques
  • Automotive Quality Control
  • Techniques for improvement
  • Quality engineering in the automotive world
Key reading
  • 1. Krishnamoorthi, K. S. A First Course in Quality engineering. Intergrating Statistical and management. Methods of Quality [Текст] : учебник / K. S. Krishnamoorthi, V. Krishnamoorthi. - London : CRC Press, 2012. - 612 p. 2. Статистические методы повышения качества / К. Хитоси , И. Йосинори, Т. Такенори ; пер. с англ. Ю. П. Адлер, пер. с англ. Л. А. Конарев. - М. : Финансы и статистика, 1990. - 301 с. : ил. - Библиогр.: с. 285-291. -Указ. имен: с.298 . - Пер. изд. : Statistical methods for quality improvement / Kume Hitoshi. 3. Goicoechea, I. & Fenollera, M.: Quality Management in the Automotive Industry/ Daaam International Scientific Book 2012 pp. 619-632 CHAPTER 51 4. David Hole. Automotive Quality Systems. Handbook. Butford Technical Publishing, Great Milton, Oxford, 2000
Further reading
  • 5. IATF 16949:2016 Particular requirements for the application of ISO 9001: 2015 for automotive production and relevant service part organizations