TMQU31 Statistical Quality Control 2013

Study Guide@lith

Valid for year : 2013

TMQU31	Statistical Quality Control, 6 ECTS credits. /Statistisk kvalitetsstyrning/ For: I Ii IND M MEC
OBS!	May not be included in the same degree as TMQU06
	Prel. scheduled hours: 48 Rec. self-study hours: 112
	Area of Education: Technology Main field of studies: Industrial Engineering and Management
	Advancement level (G1, G2, A): A
	Aim: The course provides a comprehensive coverage of the subjects from understanding variation - one of the most fundamental ideas behind Quality Management �?" to state of the art concepts and applications. After completing the course the student should: have deep knowledge about the role of variation in organizational processes have deep knowledge about qualitative as well as statistical methods for quality control and improvement explain how to work with process control techniques and process capability studies in organisations describe situations where quality methods can contribute to quality improvements in relation to process and product development use real process data from various cases in order to solve industrial problems have understanding about how techniques and methods for statistical quality control can be implemented and used in industrial organizations
	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.
	Supplementary courses: Six Sigma Quality, Quality Management - Project Course
	Organisation: The course is organized around seminars and workshops in which important themes are presented and discussed. The examination of the course is based on assignments and a laboratory exercise.
	Course contents: Understanding of variation, Statistical Process Control (SPC). Process improvements through various statistical tools, 7 QC-tools, Shewhart diagram, EWMA, CUSUM, Moving Range, Charts for attribute data and Capability, Process mapping, Handling statistical methods by using Microsoft Excel and MINITAB, Visualization techniques for analyzing data, Implementation of performance measurement system.
	Course literature: Montgomery, D. C. (2013) Statistical Quality Control: A Modern Introduction, 7th Edition, Wiley Other literature will be distributed during the course.
	Examination:
	Assignments Laboratory work	4,5 ECTS 1,5 ECTS

	The final grade is based on UPG1 and LAB1.
Course language is English. Department offering the course: IEI. Director of Studies: Jostein Langstrand Examiner: Jostein Langstrand Link to the course homepage at the department Course Syllabus in Swedish

Linköping Institute of Technology
Contact: TFK , val@tfk.liu.se Last updated: 10/17/2013