Faculty Of Engıneerıng
Industrıal Engıneerıng (Englısh)

Course Information

QUALITY ENGINEERING
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
INE431 Fall 3 0 3 4

Prerequisites and co-requisites none
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer Asst. Prof. Melik KOYUNCU
Mode of Delivery Face to Face
Suggested Subject none
Professional practise ( internship ) None
Objectives of the Course The main objective of this course is to study statistical methods and tools for quality control, quality engineering and process improvement.
Contents of the Course Definition of quality and quality improvement, historical developments, basic statistical quality improvement methods, managerial aspects, description of variability, control charts for variables, control charts for attributes, non-conforming ratio charts, control charts for defect counts, selection criteria between the charts, process capability ratios, measurement capability, acceptance sampling, single, double and continuous sampling plans, Dodge-Romig plans.

Learning Outcomes of Course

# Learning Outcomes
1 Student will gain the ability of development knowledge , purpose and basic functions of quality concept.
2 Student will gain to importance of quality management for organizations
3 Student will gain to the ability of analyzing, explaining and solving the problems related to quality.
4 Student will gain to an ability to apply all activities that should be performed by a quality manager.

Course Syllabus

# Subjects Teaching Methods and Technics
1 Quality improvement methods Lecturing
2 Modeling process quality -review of basic statistical topics Lecturing
3 Modeling process quality -random distributions Lecturing
4 Statistical inference for assessing process quality Lecturing
5 Statistical inference for assessing process quality Lecturing
6 Basics of Statistical Process Control(SPC) Lecturing
7 Midterm Exam
8 Control charts for variables - foundations Lecturing
9 Control charts for variables - X, R and s charts Lecturing
10 Control charts for attributes Lecturing
11 Control charts for attributes - np, p, c and u charts Lecturing
12 CUSUM control charts Lecturing
13 EWMA and Moving average control charts Lecturing
14 Acceptance sampling plans and analysis of variance Lecturing
15 Design of experiments Lecturing
16 Final Exam Exam

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 MONTGOMERY, D. C., 2008, Introduction To Statistical Quality Control (6th edition), John Wiley& Sons, Inc.

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 Student will gain the ability of development knowledge , purpose and basic functions of quality concept. 2 1͵2
2 Student will gain to importance of quality management for organizations 8 1͵2
3 Student will gain to the ability of analyzing, explaining and solving the problems related to quality. 1͵2 1͵2
4 Student will gain to an ability to apply all activities that should be performed by a quality manager. 4 1͵2
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 3 42
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 3 42
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 1 2 2
8 Midterm Exam 1 5 5
9 Quiz 0 0 0
10 Homework 6 4 24
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 2 2
16 Final Exam 1 3 3
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