310297 (v.2) Logistics Modelling and Optimisation 202

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:	The aim of this unit is to provide the skills necessary for optimal decision making in relation to warehouse design and operation. Basic concepts of warehouse models and processes are covered. Decisions concerning design, tactical and operational aspectsof warehousing are discussed and their flow-on effects are studied. Design decisions involve layout issues as well as storage and retrieval transport mechanisms. Tactical decisions involve allocation and products to space. Operational decisions are concerned with storage and retrieval planning as well as online assembly. Systems for total quality management to handle material flow are examined and the interface between logistics and manufacturing is analysed. The problem of optimal facility location is investigated and several core facility location models are evaluated. Where applicable, the unit considers the use of heuristic algorithms to obtain optimal solutions. 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

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.