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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS UKY 8002 STATISTICAL QUALITY CONTROL TECHNIQUE COMPULSORY 2 0 0 6

Offered By

Distance Learning Non-thesis Master's Degree in Quality Management (M.Sc.)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ALI RIZA FIRUZAN

Offered to

Distance Learning Non-thesis Master's Degree in Quality Management (M.Sc.)

Course Objective

The aim of this course is explain how to use statistical quality control techniques to control and improve processes which produce products and services

Learning Outcomes of the Course Unit

1   to be able to determine abnormalities in a process by using control charts. 2   to be able to determine process capability of meeting the specification limits. 3   to be able to differentiate common and special causes of variations in a process 4   to be able to plan sampling based acceptance inspection activities. 5   to be able to analyse the results of a measurement system verification study

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic concepts of statistical quality control 2 Relationship between quality and variation 3 Analysing process variation by using frequency tables and graphics 4 Summary statistics for processes: Mean, variance and standard deviation 5 Some important discrete probability distributions: Binomial, hypergeometric and Poisson distributions 6 Some important continuous distributions: Normal and exponential distributions 7 Statistical process control: X-bar - R control charts for variables 8 Statistical process control: X-bar - S control charts for variables 9 Statistical process control: X - MR control charts for variables 10 Statistical process control: p and np control charts for attributes 11 Statistical process control: c and u control charts for attributes 12 Process capability analysis: Cp and Cpk indices 13 Process capability analysis: Cpu, Cpl and Cpm indices 14 Acceptance sampling

Recomended or Required Reading

Textbook(s): Douglas C. Montgomery, 2001, Introduction to Statistical Quality Control, Wiley Supplementary Book(s): Besim Akın, 1996, Işletmelerde Istatistik Proses Kontrol Teknikleri, Bilim Teknik Yayınevi.

Planned Learning Activities and Teaching Methods

1. Class lecturing 2. Lectures on applications 3. Discussion and analysis of case studies

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FCGR FINAL COURSE GRADE 4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.20 + FN* 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.20 + RST* 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

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)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 2 28 Preparations before/after weekly lectures 14 2 28 Preparation for midterm exam 1 10 10 Preparation for final exam 1 10 10 Preparing assignments 14 5 70 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 150

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 LO.1 4 4 4 4 LO.2 4 4 4 4 LO.3 4 4 4 3 4 LO.4 4 4 LO.5 4 4