310345 (v.1) Industrial Modelling and Optimisation 601

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.
Tutorial:	1 x 1 Hours Weekly
Laboratory:	1 x 3 Hours Weekly
Syllabus:	The aim of this unit is to develop skills in constructing and applying integer linear programming models to large-scale industrial problems. Such problems arise in many applications, including airline scheduling, communication systems, distribution networks, production planning, defence warfare systems, environmental modelling, resource management and many more. These problems are computationally difficult, but improved solutions have significant impact on the competitiveness and viability of businesses and industries. The important components of this unit are modelling with binary and integer variables; and solving mixed integer linear programming (MILP) problems using commercial software packages. Integer programming techniques: branch algorithms; Lagrangian relaxations; LP rounding heuristics; and hybrid algorithms. 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 Categorised *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark

Availability

Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.