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

ASISTANT PROFESSOR SENEM VAHAPLAR

Offered to

Statistics
STATISTICS

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. With six sigma one doesn t achieve objectives by directly manipulating results, but by changing the way objectives can be achieved. Six sigma provides and improvement known as define Measure-Analysis-Improve-Control.

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 Building the Six Sigma Infrastructure
2 Six Sigma Goals and Metrics
3 Surveys and Focus Groups
4 Kano model of Customer Expectations
5 Training for Six Sigma, Preparing Individual Assignments
6 Selecting and Tracking Six Sigma Projects
7 The Define Phase
8 Process Mapping
9 The Measure Phase, Preparing Individual Assignments
10 Overview of Statistical Methods
11 The Analyze Phase
12 SIPOC
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 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of homework assignments, presentation, class participation and examinations.

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: aliriza.firuzan@deu.edu.tr
Tel: 0232 301 85 55

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 24 24
Preparation for final exam 1 36 36
Preparing presentations
Preparing assignments 2 35 70
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 204

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1555
LO.2555
LO.3555
LO.4555
LO.5555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2012 DEÜ. BİD

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