spring 2018
STE6207 Quality Management and Improvement - 5 ECTS

Application deadline

1. june

Type of course

The course may be taken as a single subject

Admission requirements

A relevant undergraduate bachelor Engineering programme with minimum 30 credits Mathematics/statistics topics

Application code: 9371 


Course overlap

If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:

STE6207 Lean &
Six Sigma 5 stp

Course content

Introduction to TQM and Lean Six Sigma. Definitions and terms. Relationship between TQM, Lean and Six Sigma. The Laws of Lean Six Sigma. Value, waste and required non-value added. The seven (eight) forms of waste. The five principles of "lean" manufacturing. 5S. The Deming Cycle. DMAIC. Introduction to the eight-step process for quality improvement. The KANO model. Identify and prioritize improvement opportunities. Brainstorming. Group dynamics. Project roles. Project approaches. Chartering projects. Process documentation tools. Measurements (five-step methodology). Analysis of the data. Flow & pull. Performance measures, Cp, Cpk, DPMO. Measure system analysis. Simple visual tools. FMEA. Mistake proofing. SPC systems and control charts. DOE.

Objectives of the course

Knowledge

After finishing the course and passing the exam the students will have a broad understanding of the ideas and principles that the Lean Six Sigma concepts are based on.

Skills

The students will be able to utilize Lean Six Sigma in order to manage and improve company operations. The students will be able to use many of the quality improvement tools and methods that are part of the Lean Six Sigma concept.

General competence

Passing the course will provide students with competence for doing and leading quality work related to industrial engineering such as product and process control, improvement projects and systematic problem solving.


Language of instruction and examination

English

Teaching methods

Concentrated lectures and exercises spread over two weeks. 25 - 28 lecture hours, 20 hours of exercises, plus self studies. Total workload is estimated to about 125 hours full time work (written examination included). Both exercises and examination may independently be subject to continuation according to normal procedures for exam and project work.

Software ¿ Spreadsheet such as Microsoft Excel.


Assessment

3 hours written exam which accounts for 100% of the grade in the course. The grading will be done by A-F grading scale, where F is Fail. A re-sit exam will be arranged for this course.

Mandatory tasks

It is prepared for a total of ten team exercises of which six are mandatory. In order to be familiar with how a project team works together to improve a process, and for a practical demonstration of important quality improvement techniques, a "Statapult" will be used actively in connection with five of the mandatory team exercises. The "Statapult" improvement project consists of three phases: Current reality, flow improvements and variation reduction. Each team will ideally consist of 6 - 7 students. The results from the "Statapult" exercises have to be documented in a written report from each team, and presented in class by the end of the course. The reports have to be approved by the teacher in order to qualify for the final exam. The other mandatory exercise has to be answered in writing, handed in and approved by the teacher in order to be qualified for the final exam. Submission deadlines will be specified in the task descriptions. (The task descriptions will be made available on It's Learning.)


Recommended reading/syllabus

Syllabus

* Taghizadegan, Salman (2006). Essentials of Lean Six Sigma. Elsevier.

* Lean Six Sigma - Lecture notes. (Will be made available on the LMS site)

* The curriculum will also include copies of relevant topics and articles that will be handed out during the course or made available on the LMS site.

Additional literature

* Oakland, John S. (2007). Total Quality Management - text with cases. Elsevier.

* George, Michael L. (2002). Lean Six Sigma - combining Six Sigma Quality with Lean Speed.McGraw-Hill.

* Adams, Kiemele, Pollock & Quan (2004). Lean Six Sigma - A Tools Guide. Air Academy Ass.

* Oakland, John S. (2008). Statistical Process Control. Elsevier.

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  • About the course
  • Campus: Narvik |
  • ECTS: 5
  • Course code: STE6207
  • Tidligere år og semester for dette emnet