Course detail

Operational and System Analysis

FP-IosaPAcad. year: 2012/2013

The course focuses on understanding of the basic principles of operational analysis. At first is student acquainted with the basics of linear programming (LP) and methods of solving LP problems. The lectures are supplemented by a number of examples of practical use LP - e.g. transport solutions, production optimization, optimization of cutting plans, etc. Student is familiar with the basic principles of network analysis - CPM, PERT, GERT and more.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Learning outcomes of the course unit

Students will be familiar with the basic principles of modeling traditional management problems; learn the basic principles of modeling, suitable for well structured and deterministic managerial problems. Will be able to apply various methods of operational analysis in terms of the company.

Prerequisites

Solution of equations and working out function graphs, knowledge of derivatives and integrations. Knowledge of fundamentals of organisation and corporate management functions.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Conditions for passing an exam: Knowledge of taught topics and ability of practical application of presented methods.
Form of examination: Combined - a written test possibly followed by an oral examination

Course curriculum

Basic terms of the operational analysis, system approach, mathematical modelling, graphical solution of LP tasks, mathematical modelling, linear programming, simplex method. Transformation of a mathematical model into a canonical form, economic interpretation of slack variables, starting basic solution, optimality test, transfer to a new basic solution, slack variables, extended model.
Case study.
Programme system STORM, transportation problem: introduction to the questions related to the transportation problems, approximation methods - ascending index method, Vogel's approximation method, example of solution of real transportation problem. Post-optimalizing analysis. Case study.
Methods of network analysis - CPM, PERT, GERT, time analysis of node defined network graph, practical use of learned methods, case studies.
Inventory models - deterministic model.

Work placements

Not applicable.

Aims

The main objective of the course is to make students familiar with the basic methods of the optimization applicable for management decision-making, and to develop their skills necessary for the application of this knowledge to solutions of practical organizational and economic problems in a company. Students will be also made familiar with the basic principles of modelling of traditional management problems; they will master the basic modelling principles suitable for well structured and deterministic management problems. They will be able to apply individual methods of the operational analysis under the conditions of particular company.

Specification of controlled education, way of implementation and compensation for absences

Control of results of independent written projects.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

DOSTÁL, P., JANKOVÁ, Z. Operační a systémová analýza - Pokročilé metody, 2023, 101p, ISBN 978-80-7623-107-8. Druhé aktualizované vydání. (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme MGR-SI Master's

    branch MGR-IM , 1 year of study, winter semester, compulsory

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

Syllabus

Basic terms of the operational analysis, system approach, mathematical modelling, graphical solution of LP tasks, mathematical modelling, linear programming, simplex method. Transformation of a mathematical model into a canonical form, economic interpretation of slack variables, starting basic solution, optimality test, transfer to a new basic solution, slack variables, extended model.
Case study.
Programme system STORM, transportation problem: introduction to the questions related to the transportation problems, approximation methods - ascending index method, Vogel's approximation method, example of solution of real transportation problem. Post-optimalizing analysis. Case study.
Methods of network analysis - CPM, PERT, GERT, time analysis of node defined network graph, practical use of learned methods, case studies.
Inventory models - deterministic model.

Exercise

26 hod., compulsory

Teacher / Lecturer