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IE 527

Course ID:
Course Code & Number
IE 527
Course Title
Logistics
Level
MS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 7.5 ECTS Credits
Year of Study:
Master
Semester:
Fall
Type of Course:
Elective
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
Introduction to logistics. Logistics network design. Location problems. Warehouse design and management. Long distance freight transportation problems. Traveling salesperson problem. Vehicle routing problem.
Course Objectives

This course aims to teach modeling and solution of distribution logistics problems. The course covers mathematical models in designing logistics networks, planning long haul freight transportation, traveling salesperson problem, and vehicle routing problem. In this course, several case studies that link theory to practice are also discussed.

Software Usage
Course Learning Outcomes

Upon succesful completion of this course, a student will be able to
1. Design a logistics network specifying the location of main entities with notions of optimality (B5, c)
2. Generate mathematical models to optimize the cost of flows on a distribution network (B5, c)
3. Develop optimal shipment consolidation and dispatching plans (B5, c)
4. Solve traveling salesperson and vehicle routing problems with realistic constraints (B5, c)
5. Interpret and criticize distribution network practices adopted for complex contemporary problems of manufacturing and service systems(B6, h)
6. Recognize the need of and engage in life-long learning (i)

Learning Activities and Teaching Methods:
Telling/Explaining Discussion/Debate Questioning Case Study/Scenarion Analysis Simulation & Games
Assessment Methods and Criteria:
Test / Exam Quiz Case Studies / Homework
Assessment Methods and Criteria Others:
Design Content
Recommended Reading
Required Reading
1. Ghiani, G., G. Laporte, and R. Musmanno. (2004). Introduction to Logistics Systems Planning and Control. Wiley
Grading
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
Workload Hrs
Hands-on Work 30
Case Study Analysis 20
Course & Program Learning Outcome Matching: