Course Catalog 2007-2008

MAT-51636 STATISTICAL QUALITY CONTROL, 4 cr
Statistical Quality Control

Courses persons responsible
Risto Silvennoinen

Lecturers
Risto Silvennoinen

Implementations
Programs: Mechanical Engineering, Civil Engineering, Electrical Engineering, Industrial Management and Engineering, Information Technology, Fiber and Textile Technology, Automation Engineering, Materials Science, Environmental and Energy Technology, Information and Knowledge Management, Communications and Electronics, Science and Engineering, Biotechnology
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture - - - 3 h/week 3 h/week -
Exercise - - - 1 h/week 1 h/week -
Exam  
(Timetable for academic year 2007-2008)

Objectives
Introduction to the mathematical and statistical methods behind quality control, capability analysis and acceptance sampling.

Content
Content Core content Complementary knowledge Specialist knowledge
1. Basics of statistical quality control and acceptance sampling. Shewhart control charts and their design. CUSUM charts, EWMA charts, multivariate charts, etc. Capability indices. Six-sigma methodology.       

Requirements for completing the course
Active participation in exercises and written solutions to homework exercises, or a closed-book written exam.

Evaluation criteria for the course

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Auhor ISBN URL Edition, availability... Exam material Language
    Summary of lectures Laadunvalvonta ja tarkastusotanta Ruohonen, K.   http://math.tut.fi/~ruohonen/TLV.pdf   No  Finnish 
    Book Introduction to Statistical Quality Control Montgomery, D.C.       Yes  English 

    Prerequisites
    Prequisite relations (Sign up to TUT Intranet required)

    Additional information about prerequisites
    A basic course on probability and statistical methods is required as a background.

    Remarks

    Lectured at most every second year.

  • The course is suitable for postgraduate studies.

    • Distance learning

  • ITC utilized during the course

    • - In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
    - In compiling teaching material, particularly for online use or other electronic media
    - In compiling exercise, group or laboratory work
    - In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips

    Scaling
    Methods of instructionHours
    Lectures 72
    Exercises 24
    Total sum 96

    Correspondence of content
    MAT-51630 Statistical Quality Control

    Last modified 06.03.2007
    Modified byKeijo Ruohonen