Osnova témat

• AE1M13JAS - Quality and Reliability
  

  AE1M13JAS - Quality and Reliability

  Terminology and definitions from the area of quality and reliability and their control, philosophy of quality, systems of quality control in the world. Reliability as a part of quality. Basic definitions from the area of reliability, basic distributions used in reliability and their basic characteristics. Back-up using a warm and cold standby, types of warm and cold standbys. Reliability of components and systems, calculation of reliability using composition and decomposition. and using a method of a list. Basic statistical methods and tools joined with quality control, managerial tools for quality control. Techniques FMEA and QFFD, house of quality. Capability of a process. Taguchi loss function. Audits. Statistical inspection. 

  
  Student survey result of the course is here: AE1M13JAS 

  The schedule of the course is here.

  • News Fórum
• Week 1
  

  Week 1

  LECTURE 1
  

  • Lecture 1a - What is it quality, ISO 9000 Soubor
  • Lecture 1b - Factorial experiments Soubor
  • TRAINING 1 - Basics of Statistics.

  • Introduction into the Exercises Soubor
  • Basics of Statistics Soubor
  • Example 1 Soubor
  • Example 1 - solution Soubor
• Week 2
  

  Week 2

  LECTURE 2

  • Lecture 2 - Method of splitting of interval, Method of Fibonacci numbers, Gold Cut Method Soubor
  • TRAINING 2 - Hypothesis testing
    

  • Hypothesis testing+example 2 included Soubor
  • Example 2 - solution Stránka
• Week 3
  

  Week 3

  LECTURE 3

  • Lecture 3 - Optimization, Taguchi Approach, Quality Costs Soubor
  • TRAINING 3- Factorial experiments I. - Factor effects.
    

  • Example 3 - Factorial Experiments I. Soubor
• Week 4
  

  Week 4

  LECTURE 4

  • Lecture 4 - Six Sigma. Seven Ishikawa Tools I Soubor
  • TRAINING 4 - Training Void - National Holiday.
    

• Week 5
  

  Week 5

  LECTURE 5

  • Lecture 5a - Seven Ishikawa Tools II. Capability Index Soubor
  • Lecture 5b - Deming's 14 Points Soubor
  • Lecture 5 - Acceptance Sampling Soubor
  • TRAINING 5 - Factorial  Experiments II. - Design of Model.

  • Example 4 - Factorial Experiments II. Soubor
• Week 6
  

  Week 6

  LECTURE 6
  

  • Lecture 6a - Quality Function Deployment: Introduction Soubor
  • Lecture 6b - QFD animation Soubor
  • Lecture 6b - Quality Function Deployment: Animation URL
  • TRAINING 6- Optimization I.
    
    

  • Examples 5 Soubor
  • Solution of example 5.1 Soubor
  • Solution of example 5.2 Soubor
• Week 7
  

  Week 7

  LECTURE 7 - Lecture Void - National Holiday

  • TRAINING 7- Optimization II, Taguchi Loss Function.
    

• Week 8
  

  Week 8

  LECTURE 8

  • Lecture 8 - Juran's 10 Points Soubor
  • Lecture 8 - Poka Yoke Soubor
  • Lecture 8 - FMEA Soubor
  • Lecture 8 - Reliability - Basic concepts Soubor
  • Lecture 8 - Serial and parallel arrangement in reliability - method of composition and decomposition. Method of list Soubor
  • TRAINING 8 -   Histogram, Pareto Diagram and Lorenz Function.
    

  • Examples - Histogram and Pareto Soubor
  • Histogram - data Soubor
  • Histogram - solution Soubor
  • Histogram - data solution Soubor
  • Pareto - data Soubor
  • Pareto - solution Soubor
  • Pareto - data solution Soubor
• Week 9
  

  Week 9

  LECTURE 9

  • Lecture 9 - Method of minimum successful paths Soubor
  • Lecture 9 - Minimum successful paths - example Soubor
  • Lecture 9 - Failure rate. Repair rate Soubor
  • Lecture 9 - New Quality Control Tools Soubor
  • TRAINING 9- Statistical Process Control (SPC).
    
    

  • Example 8.1 - SPC Soubor
  • Example 8.1 - data Soubor
  • Example 8.1 - solution Soubor
  • Example 8.1 - solution Soubor
  • Example 8.2 - SPC Soubor
  • Example 8.2 - data Soubor
  • Example 8.2 - solution Soubor
  • Example 8.2 - solution Soubor
• Week 10
  

  Week 10

  LECTURE 10

  • Lecture 10 - Brainstorming Soubor
  • Lecture 10 - Benchmarking Soubor
  • Lecture 10 - Re-engineering Soubor
  • Lecture 10 - Random variable in reliability. Discrete random variable. Continuous variable I Soubor
  • TRAINING 10 - Capability Index, Acceptance Sampling. Reliability.
    

  • Examples 9 Soubor
  • Solution 9.1 Soubor
  • Solution 9.2 Soubor
  • Solution 9.3 Soubor
• Week 11
  

  Week 11

  LECTURE 11

  • Lecture 11 - Continuous variable II. Normal distribution Soubor
  • Lecture 11 - System status classification. Backup Soubor
  • TRAINING 11 - Reliability II.
    

  • Project specification Soubor
• Week 12
  

  Week 12

  LECTURE 12

  • Lecture 12 - Other types of distributions used in the field of reliability Soubor
  • TRAINING 12 - Coutning examples.
    

  • Examples - Statistics Soubor
  • Solution - 11.1 Soubor
• Week 13
  

  Week 13

  LECTURE 13

  • Lecture 13 - FTA analysis Soubor
  • TRAINING 13 - Counting examples
    

  • Example - Distribution Soubor
  • Solution - Distribution Soubor
• Week 14
  Aktuální téma
  

  Week 14

  LECTURE 14
  

  • Thematic areas for the exam (topics of lectures 12 and 13 are recommended only) Soubor
  • TRAINING 14 Assessment.
    

  • Assessment Úkol