sap course 1429523031

Course Code & Number:

IE 464

Course Title:

Distribution Logistics

Level of Course:

BS

Credits:

(3+0+0) 3 TEDU Credits, 5 ECTS Credits

Catalog Description:

Distribution network design. Single echelon single item and multi- echelon multi-item location problems. Short haul and long haul transportation problems. Traveling sales person and vehicle routing problems, implementation areas.

Pre-requisites & Co-requisites:

Pre-requisites: NONE
Co-requisites: NONE
Year of Study: 
Senior
Mode of Delivery: 
Face-to-face
Language of Instruction: 
English
Course Type: 
Elective
Required Reading: 
Ghiani, G., G. Laporte, and R. Musmanno. (2004). Introduction to Logistics Systems Planning and Control. Wiley
Course Objective: 

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.

Extended Description: 

Distribution network design. Single echelon single item and multi-echelon multi-item location problems. Short haul and long haul transportation problems. Traveling sales person and vehicle routing problems, implementation areas.

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)

Planned Learning Activities and Teaching Methods: 
Telling/Explaining
Discussion/Debate
Reading
Case Study/Scenarion Analysis
Simulation & Games
Assessment Methods and Criteria: 
Test / Exam
Quiz/Homework
Written Project

Student Workload:

Hands-on Work
30
hrs
Midterm Exam 1
12
hrs
Final Exam
18
hrs
Case Study Analysis
20
hrs
Others
62
hrs

Prepared By:

Revised By:

sap_editor