310300 (v.2) Logistics and Supply Chain Optimisation 302

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 aims to provide an integrated approach to the optimal planning and management of logistics and the supply chain. Areas covered are time management and scheduling. Concepts and issues are discussed and scheduling algorithms and optimisation techniques are studied. Specifically, machine and job-shop scheduling are examined and logistics curves are derived. Global logistics and supply chain networks. Explores issues and develops integrated mathematical models in global networks along with related costing, services and pricing constraints. A study of methods to improve the performance of logistics and supply chain networks is undertaken and optimal solutions are evaluated. Reverse logistics and supply chain management. Basic theory pertaining to reverse logistics is discussed and a framework is constructed from the concepts and issues generated. Quantitative models for reverse logistics decision making processes are developed and optimisation techniques are studied. Topics covered include product return forecasting and handling, re-use of returned products and packaging, lot sizing decisions. Mixed integer linear programming formulations are explored for optimal reverse logistics network design.
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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