COURSE UNIT TITLE

: ADVANCED STATISTICAL QUALITY CONTROLLING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IŞL 6005 ADVANCED STATISTICAL QUALITY CONTROLLING ELECTIVE 3 0 0 8

Offered By

MANAGEMENT

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR ONUR ÖZVERI

Offered to

MANAGEMENT

Course Objective

To learn about theoretical framework and practices of statistical techniques used in quality studies and to understand how and where these techniques are applied. Students completing this lesson should be able to effectively use statistical quality techniques applied through organizations.

Learning Outcomes of the Course Unit

1   Analyse problems regarding quality in organizations
2   Apply and interpret control cards
3   Make acceptance sampling
4   Compute and analyze the process capability
5   Use statistical techniques within Six-sigma method
6   Make value stream mapping

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction and Course Description
2 Control cards for variables ( x, r and s. R cards)
3 Control cards for specifications ( p, np, c and u cards)
4 Acceptance samplings (for variables)
5 Acceptance samplings (for specifications)
6 Measurement systems analysis for variables
7 Process capability indexes Cp, Cpk, Cpm
8 Interpreting control cards
9 Six Sigma Approach
10 Process Management
11 Statistical techniques within Process Management
12 Statistical quality tools within Six Sigma
13 Statistical quality tools within Six Sigma
14 Conclusion and Evaluation

Recomended or Required Reading

Introduction to Statistical Quality Control , Wiley, Montgomary, 2009
Kalite Yönetimi ve Planlaması, Pro.Dr. Ahmet Öztürk, Ekin, 2009
Toplam Kalite Yönetimi , Doç.Dr. Muhsin Halis, Roma, 2004

Planned Learning Activities and Teaching Methods

Lectures, Class Discussions, Questions-Answers, Homework Presentations and Sample Applications

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

Attending at least 70 percent of lectures is mandatory.
It s expected to obey scientific research rules and ethics in the preparation of homework presentations
It s expected to support the homework presentations with business applications.

Contact Details for the Lecturer(s)

Doç.Dr. Onur ÖZVERI DEÜ Iktisadi ve Idari Bilimler Fakültesi Işletme Bölümü Sayısal Yöntemler Anabilim Dalı Ofis No: 324 Iş Tel: (232) 3010632 E-posta: onur.ozveri@deu.edu.tr Web: http://kisi.deu.edu.tr/onur.ozveri

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparing presentations 1 10 10
Preparation for midterm exam 1 20 20
Preparation for final exam 1 25 25
Preparations before/after weekly lectures 14 2 28
Preparing assignments 1 30 30
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 161

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.11
LO.21
LO.31
LO.41
LO.51
LO.61

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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