Course - Operations Research, Introduction - TIØ4120
TIØ4120 - Operations Research, Introduction
Examination arrangement: School exam
Grade: Letter grades
The course deals with the use of mathematical models for planning of corporate and governmental activities. Most of the planning problems will consist of an economic objective which we want to maximize under scarce resources. Operations Research consists of: - limiting and defining the current problem, - formulating a mathematical model of the problem, - calculating an optimal solution of the model, -and finally interpreting and implementing the found solution. This course deals with both deterministic and stochastic problems, and they will be analyzed based on the following models and methods: Linear and nonlinear programming, integer programming, network models, simple queuing theory and simulation. We will use spreadsheets to find numerical solutions for some of the analyzed problems.
By the end of the course the students should be able to:
- define what is meant by operations research, and account for which phases are normally part of a study applying operations research
- describe the assumptions on which linear programming (LP) is built
- formulate LP models on the basis of verbal problem descriptions
- solve LP problems graphically (for two variables), by using spreadsheets, and by hand using the simplex method, both algebraic and in tabular form
- perform sensitivity analysis on the basis of optimal simplex tableaus, and describe the economic information that can be drawn from the analysis
- formulate integer programming models and solve problems formulated using such models by using branch-and-bound or spreadsheets
- formulate non-linear programming models and identify classes of non-linear programming models based on properties of the objective function and the constraint set
- solve some types of non-linear problems using the method of Lagrangean multipliers, the KKT conditions, or spreadsheets
- formulate and solve a number of network models
- indicate which additional challenges arise for problems where the parameters are not known with certainty
- create queueing models based on verbal problem descriptions
- derive formulas for queueing models based on exponential distributions
- describe discrete event simulation and differentiate this from other types of simulation - implement simple simulation models in spreadsheets
- discuss the pros and cons of the different types of models and the associated solution methods in view of specific problems.
Learning methods and activities
Lectures and exercises with and without computers.
Further on evaluation
If there is a re-sit examination, the examination form may change from written to oral.
Recommended previous knowledge
The course requires knowledge from basic courses in mathematics, statistics and computer science.
Given at the start of the course.
Credits: 7.5 SP
Study level: Third-year courses, level III
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: Norwegian
- Technological subjects
Department with academic responsibility
Department of Industrial Economics and Technology Management
Examination arrangement: School exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 100/100 C 2023-12-19 15:00 INSPERA
Room Building Number of candidates SL238 Sluppenvegen 14 1 SL520 Sluppenvegen 14 5 SL310 lilla sone Sluppenvegen 14 78
- Summer UTS School exam 100/100 C INSPERA
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"