Statistical Quality Control (R-Module)
Exam number: 5099
Semester: from 1st semester
Duration of the module: One semester
Form of the module (i.e. obligatory, elective etc.): Elective
Frequency of module offer: Each summer semester, started 2018
Prerequisites: Participatios in the trackmodule "Statistical Quality Control".
Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.
Person responsible for module: Prof. Dr. Wolfgang Schmid
Name of the professor: Prof. Dr. Wolfgang Schmid
Language of teaching: English
ECTS-Credits (based on the workload): 6
Workload and its composition (self-study, contact time):
Contact time (Lecture, tutorial etc.): 45 h; self-study: 135 h
Contact hours (per week in semester): 2
Methods and duration of examination:
Successful preparation of a term paper as well as presentation of the results of work
Emphasis of the grade for the final grade: Please check regulations of the study programme
Aim of the module (expected learning outcomes and competencies to be acquired):
This lecture is about the use of statistical methods and other problem-solving techniques to improve the quality of products used by our society. These products consist of manufactured goods such as automobiles, computers, and clothing, as well as services such as the generation and distribution of electrical energy, public transportation, banking, retailing, and health care. The word "quality" is often used to signify "excellence" of a product or service – we hear talk about "Rolls-Royce quality" and "top-quality". Quality can be defined simply as meeting the requirements of the customer. Why it is so important? A customer who is satisfied with quality will tell 8 people about it; a dissatisfied customer will tell it 22 people. So, to reduce losses and increase gains of the company there should exist special procedures to detect the problems and in this way improve the quality of goods.
Quality improvement methods can be applied to any area within a company or organization, including manufacturing, process development, engineering design, finance and accounting, marketing, distribution and logistics, and field service of products. During this seminar, the students should get familiar with the technical tools that are needed to achieve quality improvement in these organizations.
Contents of the module:
Introductory lectures are planned. Besides that, a short revision of the next topics will be provided.
1. Introduction to Statistical Quality Control: meaning of quality.
2. Modeling Process Quality
- Useful discrete and continuous distributions
- Describing variation and descriptive statistics
3. Statistical Process Control
- Statistical basis of the control chart
- Choice of control limits
- Sample size and sample frequency
4. Shewhart Control Chart for the location parameter
5. EWMA and CUSUM Charts
Moreover, other important information concerning seminar papers and presentations will be mentioned during the first meeting.
Teaching and learning methods:
Lecture and tutorials
Literature (compulsory reading, recommended literature):
Montgomery, D. C.: Statistical Quality Control. Wiley, 2005.
Mittag, H.-J.: Qualitätsregelkarten. Hanser, 1995.
Ryan, T. P.: Statistical Methods for Quality Improvement. Wiley, 1989.
Rinne, H. und Mittag, H.-J.: Statistische Methoden der Qualitätssicherung. Hanser, 1995.
Rinne, H. und Mittag, H.-J.: Prozessfähigkeitsmessung für die industrielle Praxis. Hanser, 1999.
Nelson, W.: Accelerated Testing: Statistical Models, Test Plans, and Data Analysis. Wiley, 1990.
Meeker, W. Q. and Escobar, L.A.: Statistical Methods for Reliability Data. Wiley, 1998.
Registration in Moodle Viadrina required.