MTH309 Principles of Operations Research (8)
CSU Discipline Area: Mathematics and Statistics (MASTA)
Duration: One session
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.
+ Subject Availability Modes and Locations
| Session 1 | |
|---|---|
| Distance | Albury-Wodonga |
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.
Prerequisite(s):
Objectives:
Upon 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.
Syllabus:
The 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.
The information contained in the 2013 CSU Handbook was accurate at the date of publication: 24 April 2013. The University reserves the right to vary the information at any time without notice.