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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ELECTIVE

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR MEHMET ÇAKMAKÇI

Offered to

Industrial Engineering

Course Objective

The aim of this course is to design and implement quality planning, control and improvement processes in production, with the help of statistical process control techniques and comprehensive statistical knowledge, taking into account technological developments. Therefore, it is to increase students' engineering and management skills.

Learning Outcomes of the Course Unit

1   To inform students about quality and total quality management regarding the design and implementation of quality planning, control and improvement processes in production according to professional ethics and standards. 2   Students can perform statistical process control 3   Students can apply and interpret standard acceptance sampling plans 4   Students able to use and interpret Statistical Process Control Charts 5   Students able to use process improvement 6   Students able to use design of experiment 7   Ability to prepare, report and present the project regarding the course content according to the instructions.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to quality control and planning - Brief history and development of quality 2 Quality basic concepts and basic statistical techniques 3 Quality basic concepts and basic statistical techniques - Standards and instructions - Professional ethics 4 Statistical Process Control Techniques (SPC) in production processes - Shewhart Control Charts 5 Shewhart Control Charts: Control Charts for Variables (quantitative) 6 Shewhart Control Charts: Control Charts for Attributes (qualitative) 7 Shewhart Control Charts: Control Charts for Attributes (qualitative) 8 Acceptance Sampling Plans 9 Acceptance Sampling Plans - AQL Acceptable Quality Level 10 Process Capability Analysis (PCA) 11 Process Capability Analysis (PCA) - Measurement Systems Capability Analysis (Gage R&R) 12 Design of Experiments - DOE 13 Design of Experiments - DOE 14 Design of Experiments - DOE

Recomended or Required Reading

- Montgomery, D.C., (2009), Introduction to Statistical Quality Control, 6th Edition John Wiley & Sons, Inc. New York.

Planned Learning Activities and Teaching Methods

Explaining the course topics, asking questions in the lecture process, discussion about the problem

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 QUZ QUIZ 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + QUZ * 0.20 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + QUZ * 0.20 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Prerequisite: Passing Statistics II

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

mehmet.cakmakci@deu.edu.tr 0232 3017613

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 15 15 Preparation for final exam 1 15 15 Preparation for quiz etc. 2 10 20 Midterm 1 2 2 Final 1 2 2 Quiz etc. 2 1 2 TOTAL WORKLOAD (hours) 134

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 5 5 5 5 5 5 5 LO.2 5 5 5 5 LO.3 5 5 5 5 5 LO.4 5 LO.5 5 LO.6 5 5 5 5 5 LO.7