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Course Name : Quantitative Techniques in Logistics
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Degree: Bachelor
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Code
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Year/Semester
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Local Credits
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ECTS Credits
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Course Implementation, Hours/Week
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Course
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Tutorial
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Laboratory
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ULT 224
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2/4 (Spring)
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3,5
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7
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3
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1
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-
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Department
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Instructors
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Assist. Prof. Dr. Emre CAKMAK
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Contact Information
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e-mail: emre.cakmak@pirireis.edu.tr
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Office Hours
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Tuesday 13:30-17:00
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Web page
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http://www.pirireis.edu.tr/pruonline/www/index.php
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Course Type
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Compulsory
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Course Language
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English
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Course Prerequisites
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Course Description
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This course aims to understand basic quantitative techniques concepts and mathematical modeling, formulate the mathematical model, apply linear programming method to the real life problems and apply the simplex method the linear programming problems. At the end of the course, students will have a fair understanding of the role quantitative techniques in logistics.
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Course Objectives
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This course provides you with information about fundamentals of transportation, transportation’s impact on economy, different modes of transportation and the functions of transportation modes. This course also gives you opportunities to indentify transport problems and distribution problems and solve these problems by basic solution methods of transportation problems and distribution problems
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Course Learning Outcomes
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By students who passed from ULT 224 Quantitative Techniques in Logistics successfully
Students will
- Have knowledge about basic quantitative techniques
- Able to develop mathematical model
- Able to solve mathematical models with graphical and simplex models.
- Able to analyze the effects of variation of model parameters in the mathematical model.
- Able to solve some mathematical models by using the computer programs
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Instructional Methods and Techniques
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The presentation of theoretical and practical techniques
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Tutorial Place
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-
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Co-term Condition
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-
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Textbook
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Taha, H. A. (2007). Operations research: an introduction (ed. 9). Pearson/Prentice Hall.
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Other References
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Lecture Notes
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Homework & Projects
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Laboratory Work
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Computer Use
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Other Activities
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