INDE6002 (v.1) Network Optimisation for Transport and Logistics
Area: | Department of Mathematics and Statistics |
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Credits: | 25.0 |
Contact Hours: | 4.0 |
TUITION PATTERNS: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
Lecture: | 1 x 2 Hours Weekly |
Tutorial: | 1 x 1 Hours Weekly |
Workshop: | 1 x 1 Hours Weekly |
Equivalent(s): |
310346 (v.2)
Network Optimisation for Transport and Logistics 601
|
UNIT REFERENCES, TEXTS, OUTCOMES AND ASSESSMENT DETAILS: | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
Syllabus: | The unit focuses on 4 core topics in network optimisation: minimum-cost flow problems, optimal fleet sizing, arc routing problems, and node routing problems. For minimum-cost flow problems, areas covered include the standard problem formulation, shortest path problems, maximum flow problems, transportation problems, assignment problems, and the network simplex algorithm. For optimal fleet sizing, areas covered include deterministic and stochastic formulations, left and right derivatives, convex analysis, and the golden section method. For arc routing problems, the areas covered include the Chinese postman problem, Fluery's algorithm, Floyd-Warshall algorithm, matchings, and Euler tours. Finally, for node routing problems, the areas covered include the travelling salesman problem, heuristic methods and lower bound techniques. |
Field of Education: | 030703 Industrial Engineering |
Result Type: | Grade/Mark |
Availability
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