Statistical Quality Control, 6 credits (TMQU31)

Statistisk kvalitetsstyrning, 6 hp

Main field of study

Industrial Engineering and Management

Level

Second cycle

Course type

Programme course

Examiner

Elisabeth Johansson

Director of studies or equivalent

Björn Oskarsson
Course offered for Semester Period Timetable module Language Campus VOF
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Quality Technology and Management) 8 (Spring 2017) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Quality Technology and Management) 8 (Spring 2017) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Quality Technology and Management) 8 (Spring 2017) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Quality Technology and Management) 8 (Spring 2017) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Quality Technology and Management) 8 (Spring 2017) 1 2 English Linköping v
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Quality Technology and Management) 8 (Spring 2017) 1 2 English Linköping v
6CIII Industrial Engineering and Management, M Sc in Engineering 8 (Spring 2017) 1 2 English Linköping v
6CMMM Mechanical Engineering, M Sc in Engineering 8 (Spring 2017) 1 2 English Linköping v
6CMMM Mechanical Engineering, M Sc in Engineering (Production Engineering) 8 (Spring 2017) 1 2 English Linköping v
6MIND Industrial Engineering and Management, Master's programme 2 (Spring 2017) 1 2 English Linköping v
6MIND Industrial Engineering and Management, Master's programme (Operations Management) 2 (Spring 2017) 1 2 English Linköping o
6MMEC Mechanical Engineering, Master's programme 2 (Spring 2017) 1 2 English Linköping v
6CEMM Energy-Environment-Management (Sustainable Business Development) 8 (Spring 2017) 1 2 English Linköping v
6CEMM Energy-Environment-Management 8 (Spring 2017) 1 2 English Linköping v

Main field of study

Industrial Engineering and Management

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Industrial Engineering and Management - International, M Sc in Engineering
  • Industrial Engineering and Management, M Sc in Engineering
  • Mechanical Engineering, M Sc in Engineering
  • Industrial Engineering and Management, Master's programme
  • Mechanical Engineering, Master's programme
  • Energy-Environment-Management

Specific information

May not be included in the same degree as TMQU06

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Mathematical statistics, Industrial Organization, Quality Management and Engineering

Intended learning outcomes

The course provides a comprehensive coverage of statistical approaches and methods for industrial quality management. After the completed course, the student shall be able to;

  • demonstrate deep knowledge about statistical methods for quality technology and management, and in a systematic way select methods to solve advanced quality related problems within industry and service production
  • discuss the occurrence and consequences of variation in industrial processes and from a systems perspective identify situations where statistical methods can contribute to improvement of products and processes
  • plan and conduct industrial improvement projects based on advanced statistical methods for quality improvement
  • on an advanced level discuss principles for collection and analysis of process information for development of processes and products
  • analyse and identify improvement needs for measurement systems in industrial organisations
  • explain and discuss how procedures for statistical quality control can be implemented and contribute to development in industrial organisations

Course content

Understanding of variation, statistical process control, process improvements through statistical analysis, 7 QC tools, advanced forms of control charts (EWMA, CUSUM, Shewhart charts), Moving Range techniques, time series analyses, control charts for attribute data, capability studies, process mapping, visualisation techniques for effective decision making, statistical analyses in Excel and MINITAB, measurement system analysis, implementation of performance measurement and control.

Teaching and working methods

The course is organised around lectures and workshops where important thematic areas are presented. The course is examined through written assignments, participation in case seminars, lab exercises and a large project that is conducted in cooperation with an industrial company.

Examination

UPG1Hand-in assignmentU, 3, 4, 54.5 credits
LAB1Laboratory workU, G1.5 credits
The final grade is based on the results from the assignments in the course.

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses:
Six Sigma Quality, Quality Management - Project Course

Department

Institutionen för ekonomisk och industriell utveckling

Director of Studies or equivalent

Björn Oskarsson

Examiner

Elisabeth Johansson

Education components

Preliminär schemalagd tid: 52 h
Rekommenderad självstudietid: 108 h

Course literature

Montgomery, D. C. (2013) Statistical Quality Control: A Modern Introduction, 7th Edition, Wiley Övrig litteratur delas ut under kursen.
Montgomery, D. C. (2013) Statistical Quality Control: A Modern Introduction, 7th Edition, Wiley Övrig litteratur delas ut under kursen.
UPG1 Hand-in assignment U, 3, 4, 5 4.5 credits
LAB1 Laboratory work U, G 1.5 credits
The final grade is based on the results from the assignments in the course.

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

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