COURSE UNIT TITLE

: QUALITY CONTROL

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
END 4822 QUALITY CONTROL COMPULSORY 3 0 0 4

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR KEMAL SUBULAN

Offered to

Metallurgical and Materials Engineering

Course Objective

The aim of this course is to introduce students to statistical quality control techniques that can be applied in both manufacturing and service sectors and to perform applications on topics such as statistical process control, control charts, process capability analysis, analysis of measurement systems, design of experiments and acceptance sampling with the help of MINITAB statistical package program. In addition, in the scope of the course, it is aimed to transfer quality improvement/development techniques and approaches such as 6-Sigma, quality circles, Failure Mode and Effects Analysis (FMEA) and Quality Function Deployment (QFD) in line with the total quality management philosophy.

Learning Outcomes of the Course Unit

1   To have knowledge about statistical quality control and total quality management
2   Statistical Process Control - Use, application and interpretation of Control Charts
3   Application and interpretation of full factorial and Taguchi experimental designs
4   Use, implementation and interpretation of acceptance sampling plans
5   To have knowledge about process improvement and increasing process efficiency

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Quality Definition, History, Basic Concepts, Quality & Statistics Relationship, Quality Control & Inspection, Statistical Quality Control.
2 Total Quality Control, Total Quality Management, Basic Statistical Methods (7 Quality Tools), Quality Planning, Quality Assurance & Quality Improvement, Quality Engineering, Quality Gurus, Quality Organizations and Quality Excellence Awards, ISO 9000 Standards Series, Costs of Poor Quality, 6-Sigma, DMAIC, Quality and Lean Production Systems, Quality - Productivity Relationship.
3 Applications of Basic Statistical Probability Distributions in Quality Control, Examples of Statistical Process Control Applications, Relationship between Control Charts and Hypothesis Tests, I. and II. Type Errors, Central Limit Theorem, Average Run Length (ARL), Introduction to Control Charts and Selection of Control Charts, Stage I and II Control Chart Applications, Rational Subgrouping,
4 Control Charts for Variables, X-ort. and R Control Chart Applications, Natural Tolerance Limits, Control Limits & Specification Limits and Their Relationships, Control Chart Design, Effect of Sample Size Change on Control Charts, X-ort and S Control Charts, Control Chart Applications with Variable Sample Size
5 Continuation of Control Charts for Variables, Sample Variance Control Chart, Moving Interval Control Chart and Units Control Chart, Operation Characteristic Curves for Control Charts, Control Chart Applications for Variables with MINITAB Statistical Software Program.
6 Control Charts by Attributes: Defect Rate Control (p) Graph, Number of Defects (np) Control Graph, Stabilized - p Control Charts, Defect/Number of Defects Control Charts: C and U Control Charts and Control Chart Applications with MINITAB Statistical Software Program.
7 Process Qualification Analysis (Variable and Attribute), Process Qualification Indices, Analysis of Measurement Systems, Process Qualification Analysis with MINITAB Statistical Software
8 Qualification Analysis of Measurement Systems, Gauge R & R Analysis, Measurement Qualification Analysis
9 Alternative Control Charts to Classical Control Charts: CUSUM (Cumulative) Cumulative Sum Control Charts, Exponential Weighted Moving Average (EWMA) Control Chart and Applications with MINITAB Statistical Software.
10 Full Factorial Design of Experiments (DOE) and Taguchi Design of Experiments Methods and MINITAB Applications.
11 Full Factorial Design of Experiments (DOE) and Taguchi Design of Experiments Methods and MINITAB Applications.
12 Acceptance Sampling Techniques for Attributes, Standard Sampling Plans
13 Standard Sampling Plans, Acceptance Sampling Techniques for Variables
14 Acceptance Sampling Techniques for Variables

Recomended or Required Reading

Textbook(s):
- Montgomery, Douglas C. Introduction to Statistical Quality Control. John Wiley & Sons, Inc.
New Yoruk, USA 1996.
- Timischl, Wolfgang. Qualitaetssicherung. Hanser Verlag. München Wien 2002
- R. E. Devor, T. Chang, J. W. Sutherland, Statistical Quality Design and Control, Pearson
Prentice Hall, Second Edition, (2007)
- E. L. Grant, R. S. Leavenworth, Statistical Quality Control, McGraw-Hill, Seventh Edition
(1999)

Planned Learning Activities and Teaching Methods

Within the scope of this course, presentations prepared using different sources will be utilized. In addition, statistical quality control applications with MINITAB statistical package program/software will be included. In addition to the presentations, the lectures will be interactive and discussions will be held on the topics. All students are required to attend the lectures and discussion sessions.

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 * 0.40 + ASG * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.10 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Within the scope of the course, midterm (35%), quizzes (15%), final exam (50%) and make-up exam (50%) will be held.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

e-mail adress: kemal.subulan@deu.edu.tr
Phone: +90 232 301 76 24
Fax: +90 232 301 76 08

Office Hours

On Wednesdays between 16:00 - 17:00, discussions about the course will be accepted.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparation before/after weekly lectures 14 2 28
Preparation for Mid-term Exam 1 7 7
Preparation for Final Exam 1 8 8
Preparation for quiz etc. 2 8 16
Final 1 2 2
Mid-term 1 2 2
TOTAL WORKLOAD (hours) 105

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.123
LO.23443
LO.34443
LO.4433
LO.5243

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

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