| TMQU21 | Quality Technology, 4,5 ECTS credits. /Kvalitetsstyrning/ |
||
Prel. scheduled
hours: 34 |
|||
|
Area of Education: Technology Subject area: Mechanical Engineering |
|||
| Advancement level
(A-D): D
|
|||
| Aim: This course aims at giving the student a deep understanding of the use of statistical methods for quality control and improvement. The course provides a comprehensive coverage of the subjects from understanding variation - one of the most fundamental ideas behind Quality Management â?" to state of the art concepts and applications. Statistical techniques - such as the 7 Quality control tools, Shewhart control charts, process capability measurements and time series analysis - are emphasized but the course has a strong management orientation. For example, through different cases, the course elaborates upon and discusses how an effective implementation process of SPC can be designed and managed. Applications of performance measurement in Swedish industry are further discussed. The students use real data from various cases in order to understand the different tools and techniques learned throughout the course. |
|||
| Prerequisites: (valid for students admitted to programmes within which the course is offered) TMQU17 Progressive quality development, basic course or equivalent TAMS11/15 Mathematical statistics M or I or equivalent, TEIO61 Industrial Organization (recommended) 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: Project course TMQU40; Customer focused product development, TMQU43; Robust design, TMQU29 Six Sigma Quality |
|||
| 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 addition to these phases it should be mentioned that the participants are actively trained in problem solving and presentation on their own. |
|||
| Course literature: Montgomery, D (2005), Introduction to Statistical Process Control, 5th ed., John Wiley & Sons. Compendium with readings on Deming, Juran and Ishikawa. Disseminated articles |
|||
| Examination: | |||
| Assignments Laboratory work |
2,5 p 0,5 p |
||
Course language is English. Department offering the course: IKP. Director of Studies: studierektor@ikp.liu.se Examiner: Mattias Elg Link to the course homepage at the department Course Syllabus in Swedish |
|||
|
|
 |
|||||
| ||||||