Multi-Criteria Decision Making and Its Applications in Logistics

Content

Objective

The purpose of this course is to provide the students an introduction to the concept of Multi-Criteria Decision Making (MCDM) and its general areas of application and its applications in logistics by showing the basics and methods.

Course Content

Week 1. MCDM – A General Overview,
Basic Definitions,
Normalization
Classification of MCDM Methods
Week 2. Quantitative/Qualitative Data,
Attribute Generation and Weighting
Week 3. Quantification of Qualitative Data
Non Compensatory MCDM Methods - I
Week 4. Non Compensatory MCDM Methods - II,
Scoring Methods SAW, WPM
Week 5 Some well known MCDM methods – AHP, TOPSIS
Week 6. Some well known MCDM methods – ELECTRE, OCRA
Week 7. Some well known MCDM Methods – GRA, MOORA, DEA
Week 8. MIDTERM
Week 9. Some well known MCDM Methods – DEMATEL, ANP
Week 10. Group Decision Making,
Social Choice Functions
Week 11. General Overview of Fuzzy Set Theory
Week 12. General overview of Fuzzy MCDM
Week 13. Project Presentations
Week 14. Project Presentations

Course Learning Outcomes

At the end of the course, the student will be able to,
• Develop a comprehension of MCDM concept.
• See main MCDM methods.
• Apply the MCDM concept for various decision processes.
• Learns how these methods can be applied to logistics.
• Experience the usage of these methods in logistics.

References

K. Paul YOON, Ching-Lai HWANG, Multiple Attribute Decision Making – An Introduction, Sage Publications, California, USA, 1995.

Ching-Lai HWANG, Ming-Jeng Lin, Group Decision Making under Multiple Criteria, Springer Verlag, New York, USA, 1987.

Enrique BALLESTERO, Carlos ROMERO, Multiple Criteria Decision Making and its Applications to Economic Problems, Kluwer Academic Publishers, Boston,USA, 1998.

Thomas L. SAATY, Müjgan S. ÖZDEMİR, A Dictionary of Decisions with Dependence and Feedback Based on the Analytic Network Process, RWS Publications, Pittsburgh, USA, 2005.

Assessment System

Relation of Proficiency