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Statistical Quality Control, 6 credits
Statistisk kvalitetsstyrning, 6 hp
TMQU31
Main field of study
Industrial Engineering and ManagementCourse level
Second cycleCourse type
Programme courseExaminer
Elisabeth JohanssonDirector of studies or equivalent
Björn OskarssonEducation components
Preliminary scheduled hours: 52 hRecommended self-study hours: 108 h
ECV = Elective / Compulsory / Voluntary
Main field of study
Industrial Engineering and ManagementCourse level
Second cycleAdvancement level
A1XCourse 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 EngineeringIntended 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
| LAB1 | Laboratory work | 1.5 credits | U, G |
| UPG1 | Hand-in assignment | 4.5 credits | U, 3, 4, 5 |
The final grade is based on the results from the assignments in the course.
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
| Supplementary courses: Six Sigma Quality, Quality Management - Project Course |
Department
Institutionen för ekonomisk och industriell utvecklingDirector of Studies or equivalent
Björn OskarssonExaminer
Elisabeth JohanssonEducation components
Preliminary scheduled hours: 52 hRecommended self-study hours: 108 h
Course literature
Montgomery, D. C. (2013) Statistical Quality Control: A Modern Introduction, 7th Edition, Wiley Övrig litteratur delas ut under kursen.| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB1 | Laboratory work | 1.5 credits | U, G |
| UPG1 | Hand-in assignment | 4.5 credits | U, 3, 4, 5 |
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.
Course literature is preliminary.
Montgomery, D. C. (2013) Statistical Quality Control: A Modern Introduction, 7th Edition, Wiley
Övrig litteratur delas ut under kursen.
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
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| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
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| 1.2 Fundamental engineering knowledge (G1X level) |
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
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| 2.2 Experimentation, investigation, and knowledge discovery |
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| 2.3 System thinking |
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| 2.4 Attitudes, thought, and learning |
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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| 3.2 Communications |
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| 3.3 Communication in foreign languages |
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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| 4.5 Implementing |
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| 4.6 Operating |
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| 5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
| 5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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