Course Quality Techniques

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Responsible: Prof. Dr. Stoll

Course

Meets requirements of following modules(MID)

• in active programs
  • Ba ET2012 QT
  • Ba ET2010 QT

Course Organization

Version created 2011-10-14 VID 1 valid from WS 2012/13 valid to

Course identifiers Long name Quality Techniques CID F07_QT CEID (exam identifier) 772

Contact hours per week (SWS) Lecture 2 Exercise (unsplit) 2 Exercise (split) Lab 1 Project Seminar Tutorial(voluntary)

Total contact hours Lecture 30 Exercise (unsplit) 30 Exercise (split) Lab 15 Project Seminar Tutorial (voluntary)

Max. capacity Exercise (unsplit) Exercise (split) 40 Lab 16 Project Seminar

Total effort (hours): 150

Instruction language

• German

Study Level

• undergraduate

Prerequisites

• none

Textbooks, Recommended Reading

• keine

Instructors

• Prof. Dr. Stoll

Supporting Scientific Staff

• keiner

Transcipt Entry

Quality Techniques

Assessment

Type
wE	written Exam

Total effort [hours]
wE	written Exam

Frequency: 2/Jahr

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Course components

Lecture/Exercise

Objectives

Lerninhalte (Kenntnisse)

• Use of statistical methods
• Statistical Process Control (SPC)
  • probability distribution
    • discrete random variable
      • hypergeometric distribution
      • binomial distribution
      • Poisson distribution
    • continous random variable
      • Normal distribution (Gaussian distribution)
      • log-normal distribution
      • exponential distribution
      • Weibull distribution
      • Student distribution (t-distribution)
      • chi-square distribution
  • control sample
    • operating characteristic curve (OC)
      • producer's risk (alpha-risk)
      • customers' risk (beta-risk)
    • acceptance sampling for attributes
      • sampling plan n-c
      • inspection standard AQL
    • acceptance sampling for variables
      • Histogram, determination of distribution
      • sampling plan n-k
        • Sampling plan for one sided limit
          • known standard deviation
          • unknown standard deviation
        • Sampling plan for both sided limits
  • Quality control chart
    • Quality control chart for countable results
    • Quality control chart for measuring readings
      • single data chart
      • Original data chart
      • average chart
        • Mittelwertkarte (xquer-Karte)
        • Zentralwertkarte (xschlange-Karte)
      • sample standard deviation chart
  • process capability index
    • Cp
    • Cpk
  • Precontrol
• Design of Experiments (DoE)
  • single factor experiment
  • full factorial experiment
  • fractional factorial designs
  • Response Surface Design
  • Shainin's Red X concept
    • Multi-vari chart
    • exchange of components
    • pairwise comparison
    • search for variables
    • full factorial experiment procedure
    • A-against-B (process comparison)
    • scatter plot

Acquired Skills

• Statistical Process Control (SPC)
  • Evaluating sampling plans by operating characteristic curve (OC)
  • Develop sampling plans for attributes and variables
  • Develop quality control charts for countable results and measuring readings
  • Calculation of control limits
  • process capability indices: choosing, calculating and applying
  • economic process control with Precontrol
• Design of Experiments (DoE)
  • identifying most important influencing variables
  • operating Shainin's concept
    • evaluating the suitability of the methods
  • operating a process by adjusting the influencing variables
  • reduction of variance of a process by reduction of variance of influencing variables
  • extension of tolerances of unimportant influencing variables
  • keeping process in control

Operational Competences

• design of sampling plans in exercises
• design of experimental factorial analysis in exercises

Additional Component Assessment

Type
wE	written Exam

Contribution to course grade

Frequency: 2/Jahr

Lab

Objectives

Lerninhalte (Kenntnisse)

• Distributions
• operating characteristic curve
• sampling plans
• Quality control chart
• simulation of a production line with LabView

Acquired Skills

• simple programming with LabView
• comparison of statistic parameters with real measured values
• identification and evaluation of trends of quality in period under observation
• evaluating importance and effectivity of own calculations
• Systematic planning of experimental procedure
• evaluating experiments and report
• abstract of results
• Delivery of report on the due date

Operational Competences

• Experimental procedure

Additional Component Assessment

Type
wR	written Report

Contribution to course grade

Frequency: 1/Jahr