|Module Name||ST2006 MANAGEMENT SCIENCE METHODS|
|Module Short Title|
|Semester Taught||Semester 1 and 2|
2 hours lectures in both Semester 1 and 2 with weekly assignments in Semester 1 and 1 hour lab per week for Semester 2
|Module Personnel||Assistant Professor Mary Sharp and Assistant Lecturer Brett Houlding |
By the end of Semester 1 students should be able to:
- Identify an infeasible problem, a problem with multiple solutions or the presence of degeneracy
- Describe how to find an initial basic feasible solution to a linear program
- Conduct a parametric analysis on a coefficient in the objective function
- Define and formulate a balanced transportation problem and solve
- Describe how to solve integer programs with a branch and bound algorithm
- Formulate a 0–1 integer program, put into standard form and solve with a branch and bound algorithm
By the end of Semester 2 students should be able to:
- the concepts and terminology involved in Simulation;
- different kinds of simulation techniques;
- how and when it is used and be familiar with a range of application examples;
- how to apply a simulation using appropriate software;
- its limitations
Semester 1 This course is based on developing and solving mathematical models of real life problems. The students receive a theoretical introduction to the fundamental elements of a mathematical model. Modelling techniques are taught to solve problems in many domains.
Semester 2: Introduction to Simulation. To introduce the concepts, ideas and techniques involved in Simulation.
- Formulate and solve Linear and Goal Programming problems using the Simplex Method
- Perform Sensitivity Analysis on the output from a Linear and Goal Programming problem
- Formulate and solve Transportation, Transhipment and Assignment problems
- Formulate a 0 – 1 Linear Programming problem and solve using the Cutting Plane and Branch and Bound Methods
- Analyse networks for the Chinese Postman and Travelling Salesman Problems
- Other relevant mathematical models
Specific topics addressed in this module include:
- Entities, attributes and variables;
- Steady-state models and transients;
- Software for simulation;
- Statistical analysis of output;
|Recommended Reading List|
There is no set Bibliography for Semester 1. Advice as to course texts will be given in class.
- J. Banks et al, Discrete-Event System Simulation, Pearson, 5th edition (2010).
- A. F. Seila et al, Applied Simulation Modeling, Thompson, 2003.
- A. M. Law, W.D. Kelton, Simulation Modeling, McGraw-Hill, 3th edition (2000).
20% Course work and 80% Examination (3 hours)
|Academic Year of Data||2017/18|