310296 (v.1) Industrial Modelling and Optimisation 201

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:	This unit introduces key concepts and activities in the areas of logistics and supply chain management and establishes the distinct role each plays in industrial modelling and optimisation. Basic skills in analysing, classifying and solving the fundamental components of inventory systems are developed using both single and multi-commodity deterministic and stochastic models. Forecasting techniques and practices are introduced. 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)
Funding Cluster:	04 - Mathematics, Statistics
SOLT (Online) Definitions*:	Not Online *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.

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