Handbook 1996 : Faculty of Engineering (Volume 4 page 98)
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Credit points: 5.00
Contact: 24 hours of lectures
Timetable: Second semester
Objectives:
Upon completion of the subject students will be able to - define and formulate a linear programming problem; solve a linear programming problem using graphical and simplex methods; undertake basic sensitivity analysis of a linear programming problem based on the output from the simplex model; formulate and generate an optimal policy for a dynamic programming problem; appreciate the differences between fixed-time and event-based simulation models; generate random deviates from common statistical distributions; develop and interpret simulation models of simple queuing systems; analyse decisions involving risk or uncertainty; compute and interpret the value of information from a decision tree; account for response to risk in the analysis of decisions; understand the structure and application of optimal facility location models; solve edge-covering and node-covering vehicle routing problems.
Content:
Systems analysis techniques in decision-making for planning and design and management of engineering systems. Optimisation, simulation, decision-making under risk and uncertainty and multi-objective decision-making.
Assessment:
Assignments and a two-hour examination.
Civil Engineering subject : Next:421-464 | Prev:421-462 | Search | Help
Handbook 1996 : Faculty of Engineering (Volume 4 page 98)
Status: Official 1996 Date created: Oct 9 1995 Last modified: Oct 9 1995 Authorised by: Academic Registrar Email enquiries: Course_Information@registrar.unimelb.edu.au
Maintained by: Dept. of Civil and Environmental Engineering, Faculty of Engineering.
Copyright © University of Melbourne 1995,1996.