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
STA 5071 STATISTICAL QUALITY CONTROL ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ALI RIZA FIRUZAN

Offered to

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

Course Objective

There are two elements of total variability in the process: product-induced variability and measurement-induced variability. Product-induced variability is the variation that occurs in the batch that makes up the products. The aim of this course is to define and determine the measurement-induced variability, first of all, in order to accurately determine and even reduce product-induced variability. Gage R&R, mean-range method and ANOVA method will be used to reveal sources of variability.

Learning Outcomes of the Course Unit

1   Understanding basic elements of Control Charts
2   Understanding theoretical background of Statistical Process
3   Choosing the appropriate Control Charts
4   Obtaining Process Capability parameter estimations using appropriate techniques
5   Understanding theoretical background of Acceptance Sampling.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 1-Statistical Methods for Quality Control and Improvement
2 2-Statistics and Sampling Distributions
3 3-Process Capability Analysis Using a Control Chart
4 4-Acceptance Sampling for Attributes ,Variables
5 5-Attribute Gauge Capability
6 6-Acceptance Sampling by Variables
7 7-Gage and Measurement System Capability, Preparing Individual Assignments
8 8-Process Capability Analysis Using a Control Chart
9 9-Process Capability Analysis Using Designed Experiments
10 10-Process Capability Analysis with Attribute Data
11 11-Gauge and Measurement System Capability Studies
12 12-Basic Concepts of Gauge Capability
13 13-Gauge and Measurement System Capability Studies
14 14-The Analysis of Variance Method

Recomended or Required Reading

Douglas C. Montgomery, Introduction to Statistical Quality Control,6th Edition, John Wiley and Sons, New York, 2009

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 57

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 0 0 0
Preparing assignments 2 20 40
Preparation for final exam 5 6 30
Final 1 2 2
Midterm 0 20 0
TOTAL WORKLOAD (hours) 142

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

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