COURSE UNIT TITLE

: SIX SIGMA IN QUALITY MANAGEMENT

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 5074 SIX SIGMA IN QUALITY MANAGEMENT ELECTIVE 2 2 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Statistics (English)
STATISTICS (ENGLISH)
Statistics (English)

Course Objective

This course addresses the issue of linking six sigma to the enterprise's strategic goals and objectives. On the other hand it presents the tools and techniques of six sigma methodology. With six sigma one doesn't achieve objectives by directly manipulating results, but by changing the way objectives can be achieved. Six sigma provides an improvement through DMAIC methodology.

Learning Outcomes of the Course Unit

1   Understanding basic elements of six sigma
2   Understanding theoretical background of six sigma
3   Choosing the appropriate tools and techniques of six sigma
4   Obtaining and manipulating results by using appropriate techniques
5   Understanding theoretical background of DMAIC

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basics of Six Sigma
2 Six Sigma Goals and Metrics
3 Six Sigma and Poor Quality Costs
4 Six Sigma and Learning Organizations
5 DMAIC Problem Solving Methodology
6 Oganizational Structure of Six Sigma
7 Selecting and Monitoring Six Sigma Projects
8 Process Mapping
9 Overview of Statistical Methods
10 Lean Six Sigma
11 Individual Presentations about Six Sigma in Manufacturing Organizations
12 Individual Presentations about Six Sigma in Service Organizations
13 The Improve Phase
14 The Control Phase

Recomended or Required Reading

Thomas PYZDEK, The Six Sigma Hand Book, McGraw-Hill, New York, 2003

Planned Learning Activities and Teaching Methods

Lecture, Homeworks, Presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PRS PRESENTATION
3 FCG FINAL COURSE GRADE ASG * 0.50 + PRS * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of homework assignments, presentations, researches and class participation.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: senem.sahan@deu.edu.tr
Tel: 0232 301 86 03

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Web Search and Library Research 4 10 40
Preparing presentations 3 10 30
Preparing assignments 3 6 18
Reading 0 0 0
Preparations before/after weekly lectures 14 3 42
Final Assignment 2 4 8
TOTAL WORKLOAD (hours) 194

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15555555
LO.2555545
LO.35555
LO.455545
LO.55555

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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