MTH309 Principles of Operations Research (8)
Abstract| The purpose of this subject is to cover some of the objective approaches to managerial decision-making based on the field of management science/operations research. Topics include: linear programming and applications; integer linear programming; transportation and network problems; project management; inventory and waiting-line models; and decision analysis. |
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+ Subject Availability Modes and Location
| Session 1 | | Distance | Albury-Wodonga Campus |
Continuing students should consult the SAL for current offering details: MTH309
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
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Subject information| Duration | Grading System | School: |
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| One session | HD/FL | School of Computing and Mathematics |
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| Prerequisite(s) |
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| STA201 or QBM117 |
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Learning OutcomesUpon successful completion of this subject, students should:
Be able to identify applications where operations research techniques can be used in the decision making process;
Be able to construct mathematical models for the various management applications;
Be able to interpret/analyse results from the mathematical models studied, (manually or automatically where appropriate) and use them in making better management decisions;
Be familiar with the automated tools that are available in the process of decision making. |
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SyllabusThe subject will cover the following topics:
Linear programming: Use of graphical techniques; linear programming software; sensitivity analysis; applications; simplex method;
Transportation, assignment and transhipment problems: Network models and linear programming formulation;
Integer linear programming: Types of integer linear programming; applications of integer linear programming;
Network models: The shortest-route-algorithm; the minimal spanning tree problem; the maximal flow problem;
Project management: PERT/CPM networks; project scheduling with PERT/CPM; project scheduling with uncertain activity times;
considerations of time-cost tradeoffs, crashing decisions;
Inventory models: Economic order quantity (EOQ) model; economic Production Lot size model; quantity discounts for EOQ model;
Waiting line models: Structure of waiting line systems; economic analysis of line models;
Decision analysis: Structure of problems; decision making with probabilities. |
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The information contained in the 2014 CSU Handbook was accurate at the date of publication: 13 September 2013. The University reserves the right to vary the information at any time without notice.
