| TMQU31 |
Statistical Quality Control, 6 ECTS credits.
/Statistisk kvalitetsstyrning/
For:
EM
I
Ii
IND
M
MEC
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OBS! |
May not be included in the same degree as TMQU06
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Prel. scheduled
hours: 52
Rec. self-study hours: 108
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Area of Education: Technology
Main field of studies: Industrial Engineering and Management
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Advancement level
(G1, G2, A): A
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Aim:
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
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Mathematical statistics, Industrial Organization, Quality Management and Engineering
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Supplementary courses:
Six Sigma Quality, Quality Management - Project Course
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Organisation:
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.
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Course contents:
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.
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Course literature:
Montgomery, D. C. (2013) Statistical Quality Control: A Modern Introduction, 7th Edition, Wiley
Other literature will be distributed during the course.
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Examination: |
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Assignments
Laboratory work
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4,5 ECTS
1,5 ECTS
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The final grade is based on the results from the assignments in the course. |
Course language is English.
Department offering the course: IEI.
Director of Studies: Björn Oskarsson
Examiner: Elisabeth Johansson
Link to the course homepage at the department
Course Syllabus in Swedish
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