Units
Operations Research 3A
Unit code: MAB525
Contact hours: 4 per week
Credit points: 12
Information about fees and unit costs
Operations research techniques are used in most industries which are concerned with the application of scientific methods in decision making, especially the allocation of resources. There is thus a need to graduate students who can make decisions on the most appropriate technology to solve a particular problem and implement it. This unit will build on the foundations of MAB315/MAN315 by developing and manipulating mathematical and computer models of complex systems composed of people, machines, money and their operating procedures.
Availability
| Semester | Available |
|---|---|
| 2013 Semester 1 | Yes |
Sample subject outline - Semester 1 2013
Note: Subject outlines often change before the semester begins. Below is a sample outline.
Rationale
Operations research techniques are used in most industries which are concerned with the application of scientific methods in decision making, especially the allocation of resources. There is thus a need to graduate students who can make decisions on the most appropriate technology to solve a particular problem and implement it.
Aims
This unit will build on the foundations of MAB315/MAN315 by developing and manipulating mathematical and computer models of complex systems composed of people, machines, money and their operating procedures.
Objectives
Successful completion of this unit should enable you to:
1. Formulate a real-life problem in mathematical terms.
2. Select and apply Operations Research techniques, tools and methods to solve and analyse a variety of problems in this area.
3. Use spreadsheet modelling and other computer based techniques.
4. Express the solution to a problem in both quantitative and qualitative form; and
5. Use abstract and critical thinking skills in relation to operations research problems.
Content
· Model Building in Mathematical Programming
· Modelling Language - OPL
· Introduction to Integer Programming and Mixed-Integer Programming
· The Branch-and-Bound Method
· The Cutting Plane Algorithm
· Piecewise-linear Functions
· Introduction to Inventory Theory
· Deterministic Inventory Models
· Stochastic Inventory Models
· Recent Developments in Inventory Theory
· Dynamic Programming - Deterministic
· Dynamic Programming - Stochastic
. Computer Solutions of Advanced Linear Programming Problems and their Analysis
Approaches to Teaching and Learning
The material will be presented by formal lectures of two hours duration per week. Consolidation of concepts and techniques presented is achieved through workshops and practical sessions with emphasis placed on solving problems related to specific work situations. Operations research computer package programs will be used for quick connection of theory and practice. Real-life case studies in the application of operations research techniques to solve problems from different industry sectors will be provided as assignments to you.
Assessment
The assessment procedure is carefully designed to help you manage and optimise your learning throughout the semester, allowing for different individual situations and capabilities. The assessment procedure is designed to help you develop your understanding and skills throughout the semester, aiming for achievement of the synergies and synthesis of the unit by the end of semester.Formative feedback is provided throughout the semester on individual, group and class work in verbal and written forms. Timely summative feedback is provided on all assessment, consisting of comments to assist students improve their understanding to all problems and case studies.
Assessment name:
Case Study
Description:
There are two case studies as part of this unit. Case study 1: Two real-life case studiesproblems using inventory theory and integer programming techniques in which you will formulate, solve and analyse each problem. This is primarily formative.Weighting: 10%. Case Study 2: Two sections - solving dynamic programming problems and a dynamic programming case study.
Relates to objectives:
1, 2, 3, 4 and 5.
Weight:
30%
Internal or external:
Internal
Group or individual:
Individual
Due date:
Week 8 & 13.
Assessment name:
Quiz/Test
Description:
There will be two quizzes as part of this unit. Quiz 1 covers the first five weeks of the content Covers weeks 6 7,8, and 9 of the content and is held in Week 11. This will give you an indication of your progress in this unit.
Weighting:10%. The second quiz will take place in Week 11 and covers weeks 6,7,8, 9 and 10 of the contents. Weighting: 10%. These quizzes will give you an indication of your progress in this unit.
Relates to objectives:
1, 2, 4 and 5
Weight:
20%
Internal or external:
Internal
Group or individual:
Individual
Due date:
Week 6 & 11
Assessment name:
Examination (Theory)
Description:
This will assess your knowledge and skills in using the techniques studied throughout this unit.
Relates to objectives:
1, 2, 4 and 5
Weight:
50%
Internal or external:
Internal
Group or individual:
Individual
Due date:
End of Semester
Academic Honesty
QUT is committed to maintaining high academic standards to protect the value of its qualifications. To assist you in assuring the academic integrity of your assessment you are encouraged to make use of the support materials and services available to help you consider and check your assessment items. Important information about the university's approach to academic integrity of assessment is on your unit Blackboard site.
A breach of academic integrity is regarded as Student Misconduct and can lead to the imposition of penalties.
Resource materials
There is no prescribed text book. The reference listed below is highly recommended.
References:
Winston, W.L. (2004), Operations Research Applications and Algorithms, Boston: Duxbury Press.
Hillier, F.S. (2009), Introduction to Operations Research, McGraw Hill.
Taha, H.A. ( 2006), Operations Research. An Introduction, Prentice Hall.
There are several other operations research books in the QUT Library.
Risk assessment statement
There are no out of the ordinary risks associated with this unit. You will be made aware of evacuation procedures and assembly areas in the first few lectures. You should be conscious of your health and safety at all times whilst on campus. More information can be obtained from http://www.hrd.qut.edu.au/healthsafety/healthsafe/index.jsp
Disclaimer - Offer of some units is subject to viability, and information in these Unit Outlines is subject to change prior to commencement of semester.
Last modified: 22-Oct-2012