Course syllabus OV2 - Operational Research II (ŠAVŠ - WS 2017/2018)

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Course title:
Operational Research II
WS 2017/2018
Course supervisor:
Supervising department:
Prerequisites for registration: Bachelor state examination
Time allowance:
full-time, 1/2 (hours of lectures per week / hours of seminars per week)
Type of study: usual
Form of teaching: lecture, seminar
Mode of completion and credits:
Exam (4 credits)
Course objective:
Main aim of the course is to acquaint students with selected methods and models for managerial decision making support and help them in real applications in their managerial practice.
Course methods:
Lecture notes followed by seminars.
Course content:
1.Introduction. Decision-making process. History of operations research, classification of disciplines, typical applications. (allowance 1/2)
Introduction to linear programming. Formulation of typical linear programming problems and their mathematical models. Solving problems and interpretation of results. (allowance 2/5)
3.Distribution problems. Transportation problem, container transportation problem, generalized distribution problem, assignment problem, travelling salesman problem. (allowance 2/4)
Introduction to graph theory. Optimization problems on graphs. (allowance 1/3)
Project management. CPM and PERT. (allowance 2/3)
Introduction to inventory models. Deterministic inventory models - EOQ and POQ. Stochastic inventory models. (allowance 2/4)
Waiting line models. Classifications of models. Single-server exponential waiting line model. Optimization in multi-server exponential waiting line model. (allowance 2/3)
Learning outcomes and competences:
After completing the course, student:
Will apply mathematical modelling procedures to more complex decision-making and optimization tasks
Will interpret and break down obtained results, including the verification and validation of the model used
Will select, on the base of data analysis, the most appropriate tool for obtaining an effective solution
Will understand and explain the principles of optimization in typical and special managerial tasks

Teaching methods and workload (hours of workload):
Type of teaching methodDaily attendance
Direct teaching
     Attendance of lectures12 h
     Attendance of courses/seminars/tutorials
24 h
     Consultations with teacher (part-time form of study)
0 h
     Course reading and ongoing preparation
20 h
     Ongoing evaluation
10 h
     Composing of individual (seminar) work14 h
     Preparation for final test32 h
Total112 h
Assessment methods:
Requirement type
Daily attendance
Active lecture/seminar/workshop/tutorial participation
10 %
Term paper
10 %
Mid-term test(s)
20 %
Final test
60 %
100 %
Course completion:
Mid-term test, seminar work and final written exam.
Support for combined/distance forms of study:
PPT presentations
Reading list:
Language of instruction: Czech
JABLONSKÝ, J. Operační výzkum.: Kvantitativní modely pro ekonomické rozhodování. 3rd ed. Praha: Professional Publishing, 2007. 323 p. ISBN 978-80-86946-44-3.

Language of instruction: Czech
FÁBRY, J. Matematické modelování. 1st ed. Praha: Professional Publishing, 2011. 180 p. ISBN 978-80-7431-066-9.
JABLONSKÝ, J. Programy pro matematické modelování. Praha: Oeconomica, 2011. 258 p. ISBN 978-80-245-1810-7.
DUDORKIN, J. Operační výzkum . Praha: Vydavatelství ČVUT , 2002. 296 p. ISBN 80-01-02469-5.
GROS, I. -- DYNTAR, J. Matematické modely pro manažerské rozhodování.: 2. upravené a rozšířené vydání. 2nd ed. Praha: VŠCHT, 2015. ISBN 978-80-7080-910-5.

Study plans:
Field of study N-EM-MP Business Administration and Operations, full-time form, initial period SS 2016/2017, place of teaching Mladá Boleslav
Field of study N-EM-MP Business Administration and Operations, full-time form, initial period WS 2017/2018, place of teaching Mladá Boleslav
Run in the period of:
Course tutor:
doc. Ing. Jan Fábry, Ph.D. (examiner, instructor, lecturer, supervisor)
Teaching language:
Mladá Boleslav

Last modification made by Ing. Zuzana Hejhalová on 11/14/2017.

Type of output: