COURSE UNIT TITLE

: FUZZY DECISIONS IN PRODUCTION

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
DBA 6188 FUZZY DECISIONS IN PRODUCTION ELECTIVE 3 0 0 6

Offered By

Business Administration (English)

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR AŞKIN ÖZDAĞOĞLU

Offered to

Business Administration (English)

Course Objective

The main objective of this course is to understand the fuzzy logic and to use it for making a decision in production.

Learning Outcomes of the Course Unit

1   describe the fuzzy logic
2   construct the hierarchical structure for making a decision
3   determine the selection criteria for decision making procedure

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Fuzzy Logic
2 The Emergence of Fuzzy Set Theory
3 Decision Making
4 Fuzzy Operations
5 Fuzzy AHP
6 Article Review about Fuzzy AHP from International Journal of Advanced Manufacturing Technology
7 Fuzzy SWARA
8 Fuzzy ANP, Article Review about Fuzzy ANP from International Journal of Advanced Manufacturing Technology
9 Fuzzy TOPSIS
10 Article Review about Fuzzy TOPSIS from International Journal of Advanced Manufacturing Technology
11 Presentations
12 Presentations
13 Presentations
14 Presentations

Recomended or Required Reading

International Journal of Advanced Manufacturing Technology

Planned Learning Activities and Teaching Methods

Lecture, discussions, article review.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1. The learner will be fully prepared to discuss reading assignments and cases.
2. The learner will clearly describe the appropriate selection criteria for a problem.
3. The learner will analyze and compare the alternatives.
4. The learner will make and present a decision making application for a real production problem.
5. The learner will discuss the current articles about the subject.
Assignment/term project evaluation criterion 1
Explain the theoretical content of the topic from the perspective of production operations management (30 points)
This particular element is absent or falls short of expectations. Poor (0%)
This particular element is developed satisfactorily and fits the context at an acceptable standard. Good (60%)
This particular element is developed in a good and professional way and fits into the context. Very good (100%)

Assignment/term project evaluation criterion 2
Explain the company applications about the topic from the perspective of production operations management (30 points)
This particular element is absent or falls short of expectations. Poor (0%)
This particular element is developed satisfactorily and fits the context at an acceptable standard. Good (60%)
This particular element is developed in a good and professional way and fits into the context. Very good (100%)

Assignment/term project evaluation criterion 3
Make an individual presentation in the classroom about the theoretical content and company applications of the topic from the perspective of production operations management (40 points)
This particular element is absent or falls short of expectations. Poor (0%)
This particular element is developed satisfactorily and fits the context at an acceptable standard. Good (60%)
This particular element is developed in a good and professional way and fits into the context. Very good (100%)



Language of Instruction

English

Course Policies and Rules

All assignments should be submitted on time. Otherwise will not be accepted.

Contact Details for the Lecturer(s)

askin.ozdagoglu@deu.edu.tr

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 12 5 60
Preparation for final exam 1 15 15
Preparing assignments 1 15 15
Preparing presentations 1 5 5
Preparation for midterm exam 1 15 15
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 156

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5
LO.14
LO.25
LO.35