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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS END 3618 QUALITY PLANNING AND CONTROL COMPULSORY 4 0 0 5

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÖZCAN KILINÇCI

Offered to

Industrial Engineering

Course Objective

This course aims to provide basic knowledge of methods required for quality improvement in manufacturing and service operations.

Learning Outcomes of the Course Unit

1   Will be able to follow steps of statistical process control for quality improvement 2   Will be able to apply the appropriate control chart technique for the process 3   Will be able to use acceptance sampling procedures 4   Will be able to apply the experimental design for quality improvement 5   Will be able to know basic principles of Total Quality Management and Six Sigma 6   Will be able to use software for analyzing the quality problems.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic knowledge of Quality, Quality Control and Planning 2 Statistical Process Control, Principles of control charts 3 Control charts for variables (X average, R, S) 4 Control charts for variables (MR), Control charts for attributes (p) 5 Control charts for attributes (c, u, special conditions) 6 Process capability, Gauge and measurement system capability 7 EWMA, CuSum control charts 8 Midterm 9 Acceptance sampling procedures for attributes 10 Acceptance sampling procedures for variables 11 Experimental Design 12 Experimental Design 13 Total Quality Management, Six Sigma 14 Project presentations

Recomended or Required Reading

1. D.C. Montgomery, Introduction to Statistical Quality Control, John Wiley and Sons Co., 6th Edition, (2009). 2. R. E. Devor, T. Chang, J. W. Sutherland, Statistical Quality Design and Control, Pearson Prentice Hall, Second Edition, (2007) 3. E. L. Grant, R. S. Leavenworth, Statistical Quality Control, McGraw-Hill, Seventh Edition (1999)

Planned Learning Activities and Teaching Methods

Lecture / Question-Answer / Discussion / Problem solving / Case study / Group study

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

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ozcan.kilincci@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 4 52 Preparations before/after weekly lectures 13 2 26 Preparation for midterm exam 1 12 12 Preparation for final exam 1 16 16 Preparing assignments 1 15 15 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 LO.1 3 3 2 5 3 LO.2 3 3 3 4 3 4 LO.3 3 3 2 4 4 LO.4 3 4 4 5 5 3 4 LO.5 4 4 3 4 3 4 LO.6 3 3 4 4 4