COURSE UNIT TITLE

: STATISTICAL QUALITY CONTROL

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISY 5016 STATISTICAL QUALITY CONTROL COMPULSORY 3 0 0 4

Offered By

Management Science

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR ONUR ÖZVERI

Offered to

Management Science

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   Able to analyse problems regarding quality in organizations
2   Able to Implement control cards
3   Able to make acceptance sampling
4   Able to compute and analyze the process adequacy
5   Able to use statistical techniques within Six-sigma method

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 Explaining basic statistical concepts
3 Simple quality tools
4 Control cards for variables ( x, r and s. R cards)
5 Control cards for specifications ( p, np, c and u cards)
6 Acceptance samplings (for variables)
7 Acceptance samplings (for specifications)
8 Measurement systems analysis for variables
9 Measurement systems analysis for specifications
10 Process capability indexes Cp, Cpk, Cpm
11 Process control with Six sigma
12 Statistical quality tools within Six Sigma
13 Lean 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
Preparation for midterm exam 1 7 7
Preparation for final exam 1 10 10
Preparing presentations 1 5 5
Preparations before/after weekly lectures 14 1 14
Preparing assignments 1 20 20
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 104

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

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 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS