Course detail

Decision making theory

FAST-CW05Acad. year: 2018/2019

Theory and methods of decision making processes in the field of investor, design, production preparation and management of these processes. Application in the execution of construction. Application of system resources. Application of information systems. Theory and practice of operational research and logistics approaches. Control theory. The basics of logistics as a systems science. Management Information Systems. Mathematical methods, computer modeling and simulation of phenomena and processes, analysis of simulation runs. Tools for proceses identification and decomposition of systems, for identification and determining of material, informational and financial flow, for creation of block and time diagrams. Tools for methods of operations research.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Department

Institute of Technology, Mechanisation and Construction Management (TST)

Learning outcomes of the course unit

Mastering the objectives of the course CW05 - Decision making theory the students will acquire basic knowledge of theory decision making processes and methods of operational research, as well as their application in practice. They will gain basic information about the game theory and queuing theory, and the application of their principles and solutions in practice. Furthermore they will gain knowledge about information systems of operational analysis. They will gain knowledge about the principles of logistics as a systems science. Furthermore about logistics approaches to the solution of supply and transport problems, as well as when managing production processes. They will master the basics of applied mathematical methods, computer modeling with simulation software.

Prerequisites

Numerical solutions of differential equations. Matrix. Number of indeterminacy and statistics.

Co-requisites

Part of the knowledge of this subject can be supplemented with knowledge of the subject Logistics.

Planned learning activities and teaching methods

The course is taught through lectures, practical classes and self-study assignments. Attendance at lectures is optional, but attendance at classes is compulsory.

Assesment methods and criteria linked to learning outcomes

For successful completion of the course the student is asked to study regularly and to attend the lectures and seminars. The student will prove his knowledge during an oral examination. The credit for seminars completion is conditioned by regular attendance and also by submitting the individual assignments.

Course curriculum

1. Introduction – system engineering – systems theory – control theory and cybernetics – theory of decision making processes.
2. Identification and analysis – elements of the decision making processes.
3. Logistics and management – general principles – logistics decomposition – logistics material, informational and financial flow, analysis and their interrelations.
4. Operational research – principles – methods and strategies – solution procedures.
5. Methods of network analysis – game theory – queuing theory.
6. Theory and methods of optimization – theory of minimum and maximum.
7. Information technology and strategy – data warehouses.
8. Project management – structures and management schemas – life cycle.
9. Management as a process of pattern processing (feedback between the controlled and controlling subject) – theory of cybernetic models.
10. Theory of decision making and decision making processes – the relations between decision making and control – classification and modeling of decision making tasks.
11: Optimization of decision making processes – principles of Business Intelligence.
12. Company management and company resources – reengineering –ERP, CRM, SCM systems – decision making processes in the management of production.
13. Decision making processes in production preparation – continuity of production process – operative planning – supply systems.

Work placements

Not applicable.

Aims

Acquiring theoretical knowledge on decision making processes, operational research methods and basic of using.

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

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Brumovský, P., Černý, J.: Základy matematickej teórie systémov. Veda Bratislava,, 1980. (CS)
Dolanský, V., Měkota, V., Němec, V.: Projektové řízení. Grada Publishing Praha, 1996. (CS)
Churchman, C., Achoff, R., Arnoff, E.: Úvod do operačního výzkumu. Alfa Bratislava, 1968. (CS)
Jablonský, J: Operační výzkum. VŠE Praha, 1999. (CS)
Jurová, M.: Logistika. PC DIR Brno, 1996. (CS)
Klvaňa, J.:: Operační výzkum 1 a 2 , skripta. ČVUT FSv Praha, 2001. (CS)
Pernica, P: Logistický management. RADIX Praha, 1998. (CS)
Petr, J.: Projektování systémů , skripta. ČVUT Praha, 1990. (CS)
Tietze, P: Strukturální analýza - úvod do projektu řízení. Grada Praha, 1992. (CS)

Recommended reading

Hrazdil V.: Site Planning on the Basis of Proority Processing,. Slovak Journal of Civil Engineering, 2005. (EN)
Johnson, G., Shcoles, K.: Exploring Corporate Strategy. Prencite Hill Int. UK, 1993. (EN)
Jurová, M.: Řízení výroby. skripta VUT PF , Brno, 2001. (CS)
Lauber, J., Jablonský, J.: Programy pro matematické modelování I. a II. VŠE Praha, 1994. (CS)
Vykypěl, O: Strategické řízení podniku. Nakladatelství VUT Brno, 1992. (CS)

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Syllabus

1. Introduction – system engineering – systems theory – control theory and cybernetics – theory of decision making processes.
2. Identification and analysis – elements of the decision making processes.
3. Logistics and management – general principles – logistics decomposition – logistics material, informational and financial flow, analysis and their interrelations.
4. Operational research – principles – methods and strategies – solution procedures.
5. Methods of network analysis – game theory – queuing theory.
6. Theory and methods of optimization – theory of minimum and maximum.
7. Information technology and strategy – data warehouses.
8. Project management – structures and management schemas – life cycle.
9. Management as a process of pattern processing (feedback between the controlled and controlling subject) – theory of cybernetic models.
10. Theory of decision making and decision making processes – the relations between decision making and control – classification and modeling of decision making tasks.
11: Optimization of decision making processes – principles of Business Intelligence.
12. Company management and company resources – reengineering –ERP, CRM, SCM systems – decision making processes in the management of production.
13. Decision making processes in production preparation – continuity of production process – operative planning – supply systems.

Exercise

13 hod., compulsory

Teacher / Lecturer

Syllabus

1. Introduction - systems theory - control theory and cybernetics - the theory of decision-making processes.
2. Logistics - logistics decomposition - the logistics chain for building equipment - relationships within and surrounding areas.
3. Game theory - queuing theory - examples.
4. Software for modeling in logistics.
5. Simulation example of the theory of queues.
6. - 7. Solving the problem of supply and distribution - examples.