| School of Engineering and Technology, (SET) | ||||
| CE73.9005 : Selected Topic: Logistics Systems 2(2-0) | ||||
| Course objectives: | ||||
This course will provide students with an understanding of the theoretical and practical aspects of several contemporary and advanced topics on actual logistics planning based on the fundamental knowledge mathematical programming and transport systems. |
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| Learning Outcomes: | ||||
Decision making system, transportation planning, non-linear programming, inventory model.
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| Pre-requisite(s): | ||||
None |
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| Course Outline: | ||||
I. Basics of Logistics
1. Modeling logistics
2. Demand and supply model
3. Mathematical programming
4. Inventory model
II. Mathematical Programming for City Logistics
1. Linear programming
2. Non-linear programming
3. Application of linear and non-linear programming
III. Modeling of Logistics
1. Aggregated demand forecast for city logistics
2. Disaggregated demand forecast for city logistics
3. Inventory model
4. Delivery scheduling
5. City logistics with ITS
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| Learning Resources: | ||||
| Textbook: | ||||
Lecture notes provided by the instructor
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| Reference Books: | ||||
Bramel, 1. and Sirnchi-Levi, D. (1997):
The Logic of Logistics: Theory, Algorithms, and Application for Logistics Management, Springer-Verlag New York, Inc., USA.
Lawrence, Jr., 1. A., and Pasternack, B. A., (1998):
Applied Management Science, John Wiley & Sons
Lambert, M. D., Srock, J. R. and Ellram, M. L., (1998):
Fundamentals of Logistics Management, Me Graw Hill, International Editions
Taniguchi E., Thompson, R. G., Yamada T. and Duin R. v., (2001):
City Logistics, Pergamon.
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| Journals and Magazines: | ||||
Transportation Research Record, TRB
Transportation Research Part E: Logistics and Transportation Review
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| Evaluation Scheme: | ||||
Mid-Semester Examination 30%
Assignments 20%
Final Examination 50%
Close book exams
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| Instructor(s): | ||||
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