Stochastic OR Methods provides the students with a grounding in the stochastic elements of operational research. Models and examples are given to demonstrate applications of the topics. Discrete event simulation is taught via lectures and computer workshops while Decision Theory and the basics of Queueing Theory are taught in lectures.
Aims and Objectives
Having successfully completed this module you will be able to:
- demonstrate skills in using computer software and programming.
- implement and analyse a discrete event simulation model using Simul8 software.
- demonstrate skills in technical report writing.
- demonstrate knowledge and understanding of the concepts and applications of simulation, decision theory and the basics of queueing theory.
- demonstrate skills in team working.
Simulation: The emphasis is on simulation computing skills, which are developed in computer labs based on the SIMUL8 package.
Lectures on simulation cover: the concept of randomness; and sampling from probability distributions including discrete and continuous models.
Decision Theory: Bayes’ rule, value of information, Decision trees, and the concept of utility,
Queueing Theory: Basic elements of a queue, definition of a Markov Process and applications of queuing systems.
Learning and Teaching
Teaching and learning methods
Six 2-hour OR techniques lectures
Five 1-hour OR techniques tutorial sessions
Two 2-hour simulation lectures
Three 1-hour simulation computer sessions
|Wider reading or practice||6|
|Practical classes and workshops||8|
|Preparation for scheduled sessions||12|
|Completion of assessment task||9|
|Total study time||75|
Resources & Reading list
Winston, WL. Operations Research: Applications and Algorithms. Duxbury.
Hillier, F. Introduction to Operations Research. McGraw-Hill.
Ross, SM. Applied Probability Models with Optimization Applications. Dover.
Nelson, BL. Stochastic Modeling: Analysis & Simulation. Dover.
Coursework - on Simulation (one individual assignment & one group assignment)
This is how we’ll formally assess what you have learned in this module.
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Repeat type: Internal & External