Course detail
Operations Research
ÚSI-REOPAAcad. year: 2023/2024
The course is focused on the introduction and practical use of selected disciplines of operational analysis in the context of support managerial decision making and a tool for minimizing of entrepreneurs risks. Interpretation is headed from explaining the basic theoretical background to their practical application.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
Requirements for gaining the credit:
1) Credit test: max. 30 points, min. 15 points required; one test correction is possible (for students who have not achieved at least 15 points for the first time; points earned from the first test are not counted) respectively replacement of the test (for students who have been excused by a doctor); max. 20 points of correction/ replacement test, min. 10 points required.
2) Semester work: max. 10 points, min. 5 points required.
It is possible to gain a maximum of 40 points from the seminars. The credit is granted for a minimum of 20 points for meeting the conditions of the minimum points limits defined for credit test respectively correction/replacement test and semester work.
Examination requirements:
The examination is in writing (oral examination if necessary). Only students who are properly registered for the specific exam date in the information system can do the exam. The examination contains test and open questions; the maximum number of points available is 60, and in order to pass the examination it is necessary to get at least 30 points.
The resulting mark for the course is the sum of the points from the seminars and the examination according the grade scale ECTS of BUT Study and Examination Regulations:
A: 100 – 90 points
B: 89 – 80 points
C: 79 – 70 points
D: 69 – 60 points
E: 59 – 50 points
F: 49 – 0 points
COMPLETION OF THE COURSE FOR STUDENTS WITH INDIVIDUAL STUDY
Requirements for gaining the credit:
The same as in the section COMPLETION OF THE COURSE. Only requirement / condition 1) is deleted.
Examination requirements:
The same as in the section COMPLETION OF THE COURSE.
COMPLETION OF THE COURSE USING DISTANCE FORM (APPLIES ONLY WHEN OBJECTIVE EXTERNAL CIRCUMSTANCES DO NOT ALLOW THE IMPLEMENTATION OF THE STUDY PROGRAM IN ACCORDANCE WITH THE GRANTED ACCREDITATION)
Requirements for gaining the credit:
The same as in the section COMPLETION OF THE COURSE. Only requirement / condition 1) is deleted.
Examination requirements:
The same as in the section COMPLETION OF THE COURSE.
A student’s own work on the tasks assigned is checked.
Aims
Upon successful completion of this course, students will be able to apply selected disciplines of operational analysis in solving specific economic and managerial decision-making problems.
Study aids
See Course literature.
Study materials available on e-learning.
Prerequisites and corequisites
Basic literature
RAIS, K.; DOSKOČIL, R. Operační a systémová analýza I. Brno: Akademické nakladatelství CERM, 2011. s. 1-125. ISBN: 978-80-214-4364-8. (CS)
Recommended reading
GROS, I. Kvantitativní metody v manažerském rozhodování. 1. vyd. Praha: Grada Publishing a.s., 2003, 432 s. ISBN 80-247-0421-8. (CS)
JABLONSKÝ, J. Operační výzkum: kvantitativní modely pro ekonomické rozhodování. 3. vyd. Praha: Professional Publishing, 2007, 323 s. ISBN 978-80-86946-44-3. (CS)
MATEO, J.R.S.C. Management Science, Operations Research and Project Management: Modelling, Evaluation, Scheduling, Monitoring. Farnham: Taylor & Francis Group, 2015, 227 p. ISBN 9781472426437. (EN)
PLEVNÝ, M.; ŽIŽKA, M. Modelování a optimalizace v manažerském rozhodování. 2.vyd. Plzeň: Západočeská univerzita v Plzni, 2010, 296 s. ISBN 978-80-7043-933-3. (CS)
ŠUBRT, T. kol. Ekonomicko-matematické metody. 2. upravené vydání. Plzeň: Vydavatelství a nakladatelství Aleš Čeněk, 2015, 331 s. ISBN 978-80-7380-563-0. (CS)
Elearning
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Introduction to linear programming, process of formulation of linear programming problem.
3. Formulation of mathematical model of linear programming problem.
4. Special types of linear programming problems.
5. Graphical solution of linear programming problems.
6. Linear programming – simplex algorithm.
7. Post-optimality analysis of linear programming problems.
8. Software for modelling linear programming problems.
9. Basic concepts of graph theory and construction of project network graph.
10. Network analysis methods – CPM method (Critical Path Method).
11. Network analysis methods – PERT method (Program Evaluation and Review Technique).
12. Network analysis methods – GERT method (Graphical Evaluation and Review Technique).
13. Inventory theory models.
Exercise
Teacher / Lecturer
Syllabus
- Formulation of the linear programming model.
- Graphical solving of linear programming problems.
- Special type of linear programming problems.
- Solving of linear programming problems.
- Time analysis of deterministic network graph.
- Time analysis of stochastic network graph.
- Credit test.
Elearning