Zaradený v študijných programoch

Výsledky vzdelávania

Upon successful completion of this course, students will be able to: 1. Apply management science knowledge and models to assist managers and decision-makers in solving organizational problems. 2. Analyze tradeoffs of solutions of managerial and organizational problems that can be formulated using management science theory and models. 3. Evaluate the integrative aspect of problem-solving techniques in an organizational setting. COURSE OBJECTIVES -Analyze organizations for the right ingredients for the use of analytics in order to gain competitive advantage -Formulate, solve, and interpret linear, integer, and non-integer linear programming model -Use computer software to interpret and analyze sensitivity analysis, and advanced applications -Apply distribution and network models to solve and analyze transportation, assignment, shortest route, and maximum flow problems -Discuss, construct and analyze project scheduling network with deterministic and probabilistic times (using PERT/CPM) -Solve and analyze various inventory models—Economic Order Quantity(EOQ), Quantity Discounts for the EOQ, and Order-Quantity Reorder Point Model with Probabilistic Demand -Apply and use Markov process models in studying the evolution of systems over repeated trails -Formulate simulation problems using Monte Carlo simulation and interpret results -Develop teamwork ability and increase the level of communication and discussion in decision making process

Stručná osnova predmetu

The course of Operations research provides on one hand basic knowledge about the methodology and on the other hand the information about main fields of operation research. With help of many case studies, it lines out how to apply mathematical models and computers in the decision-making processes. Aim is to demonstrate various quantitative methods developed over the years. Topics include: Introduction to quantitative analysis and decision making • Decision analysis (under certainty, risk, and uncertainty) • Linear programming (LP), integer LP (binary integer program), sensitivity analysis, and advanced applications and interpretations • Transportation, assignment, and transshipment problems • Project scheduling with known and uncertain activity times (PERT/CPM) • Network models, shortest route, minimal spanning tree, and maximal flow problems • Waiting line management • Inventory management • Markov processes • Simulation models and Monte Carlo simulation (in MS Excel) •

Odporúčaná literatúra

1. Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., & Cochran, J. J. An introduction to management science: quantitative approaches to decision making. Cengage learning. 2019
2. Taha, H. A.: Operations Research: An Introduction. 9th Edition. New Jersey: Prentice Hall 2011

Podmienky na absolvovanie predmetu

individual work and continuous tests 30%
project for the final exam 30%
final exam 40%

Pracovné zaťaženie študenta

student workload: 156 h
participation in lectures 26 h,
participation in seminars 26 h,
elaboration of a semester project 52 h,
preparation for the final exam 52 h

Jazyk, ktorého znalosť je potrebná na absolvovanie predmetu


Dátum schválenia: 10.02.2023

Dátum poslednej zmeny: 13.05.2022

Dátum schválenia: 10.02.2023

Dátum poslednej zmeny: 13.05.2022