310298 (v.2) Network Optimisation for Transport and Logistics 301

Area:	Department of Mathematics and Statistics
Credits:	25.0
Contact Hours:	4.0
The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline.
Lecture:	1 x 3 Hours Weekly
Tutorial:	1 x 1 Hours Weekly
Syllabus:	Basic concepts of the role that transportation plays in logistics are introduced in this unit. Optimal solutions are developed for problems that operate under cost and pricing constraints. Several main types of transportation network models are examined along with applicable costing models. Global transportation systems and network performance measures are briefly examined. The primary emphasis in this unit is on the optimisation of planning and management in both long-haul and short-haul freight transportation models. Long-haul transportation systems: optimal solutions to service network design models, freight traffic assignment problems and freight terminal design and operations are investigated. Issues relating to fleet composition, dispatching and vehicle allocation are explored and optimal solutions derived. Short-haul transportation systems: vehicle routing and arc routing problems along with their associated algorithms (including heuristics) are studied, and applicable optimisation techniques areevaluated. Feasible approaches for the integration of facility location and routing are assessed. Case studies are used to highlight and expand the understanding and application of the topics discussed in the unit.
To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement.
Field of Education:	010100 Mathematical Sciences (Narrow Grouping)
SOLT (Online) Definitions*:	Not Online *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark

Availability

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