Topic outline

• 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 Forum
• Week 1
  

  Week 1

  LECTURE 1
  

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

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

  Week 2

  LECTURE 2

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

  • Hypothesis testing+example 2 included File
  • Example 2 - solution Page
• Week 3
  

  Week 3

  LECTURE 3

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

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

  Week 4

  LECTURE 4

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

• Week 5
  

  Week 5

  LECTURE 5

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

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

  Week 6

  LECTURE 6
  

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

  • Examples 5 File
  • Solution of example 5.1 File
  • Solution of example 5.2 File
• 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 File
  • Lecture 8 - Poka Yoke File
  • Lecture 8 - FMEA File
  • Lecture 8 - Reliability - Basic concepts File
  • Lecture 8 - Serial and parallel arrangement in reliability - method of composition and decomposition. Method of list File
  • TRAINING 8 -   Histogram, Pareto Diagram and Lorenz Function.
    

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

  Week 9

  LECTURE 9

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

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

  Week 10

  LECTURE 10

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

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

  Week 11

  LECTURE 11

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

  • Project specification File
• Week 12
  

  Week 12

  LECTURE 12

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

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

  Week 13

  LECTURE 13

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

  • Example - Distribution File
  • Solution - Distribution File
• Week 14
  This topic
  

  Week 14

  LECTURE 14
  

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

  • Assessment Assignment