634-3006/02 – Exact Methods of Decision Making II (EMR II)

Gurantor departmentDepartment of Economics and Management in IndustryCredits6
Subject guarantorIng. Martin Lampa, Ph.D.Subject version guarantorIng. Martin Lampa, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2019/2020Year of cancellation2021/2022
Intended for the facultiesFMTIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
LAM37 Ing. Martin Lampa, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 3+3
Part-time Credit and Examination 18+0

Subject aims expressed by acquired skills and competences

- student will be able to apply obtained knowledge from the subject Exact methods I and will extend it by various forms of postoptimal analysis, - student will understand how to choose among individual decision making criteria and quality of information input to decision making under uncertainty and risk conditions, - student will be able to find an optimal decision making strategy by application of dynamic modelling principles - student will know how to solve managerial decision making tasks by application of game theory

Teaching methods

Lectures
Tutorials
Project work

Summary

The subject follows up the information gained in Exact methods of decision-making I. and expands the information by further methods of managerial decision-making. It mainly emphasises the cognitive function of mathematical modelling, various forms of postoptimalisation analysis, sensibility analysis and parametrisation of optimalisation tasks. It focuses on selection of decision-making criteria and the quality of information input, and on decision-making in uncertain and risky conditions. It thoroughly considers the issue of searching the optimum decision-making stratégy utilising principles of dynamic programming and game theory.

Compulsory literature:

KENNETH, D. L. and G. KLEINMAN. Applications of Management Science. New Jersey: Emerald Group Publishing Limited, 2015. ISBN 978-1-78441-211-1. KUNC, M., J. MALPASS and L. WHITE. Behavioral Operational Research: Theory, Methodology and Practice. New York: Palgrave Macmillan, 2016. ISBN 978-1-13753-549-8. ANDERSON, D. Ray. Introduction to management science: quantitative approaches to decision making. Andover: Cengage Learning, 2014. ISBN 978-1-4080-8840-1.

Recommended literature:

ANDERSON, D. R. Quantitative methods for business. Mason: South-Western Cengage Learning, 2010. ISBN 978-0-324-65181-2.

Additional study materials

Way of continuous check of knowledge in the course of semester

Zkouška: Písemný test a ústní zkouška. Vypracování seminárních prací a absolvování zápočtového testu.

E-learning

Integrovaný systém modulární počítačové podpory výuky ekonomicko-technického zaměření (http://lms.vsb.cz): - Vzdělávací modul 7 – Výrobně-logistické rozhodování: submodul Teorie hromadné obsluhy, submodul Dynamické programování, submodul Strategické plánování výroby. - LAMPA, M., ZAPLETAL, F., LENORT, R., WICHER, P., KRAUSOVÁ, E. Exaktní metody rozhodování II. Studijní opory. Ostrava: VŠB-TU Ostrava, 2015.

Other requirements

Graduating tests, Semestral project

Prerequisities

Subject codeAbbreviationTitleRequirement
634-3003 SM Strategic Management Recommended

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Exact elements of decision making process of the operational and strategic management. 2. Generating and rating version of solving decision making process. Version rating. 3. Mono-criterial and multi-criterial version rating decision making process. 4. Mathematic programming and its instrument of the optimalization. 5. Linear and non-linear problem and its optimalization. Duality of problem. 6. Parametric programming and sensibility of the problem. 7. Dynamic programming. 8. Time-costs optimalization. 9. Waiting-line theory - kinds of models. Monte-Carlo algorithm. 10. Sequence theory - Johnson algorithm and Johnson-Pruckner algorithm. 11. Theory of reserves - stochastic and deterministic models. 12. Renewal theory - optimalization models. 13. Game theory and strategic behavior. 14. Structural analyses.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Summer semester, validity until: 2021/2022 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 35  21
        Examination Examination 65  31 3
Mandatory attendence participation: 80% attendance at the exercise.

Show history

Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N0413A270002) Quality Management and Control of Industrial Systems (S02) Economics and Management in Industry PM P Czech Ostrava 1 Compulsory study plan
2021/2022 (N0413A270002) Quality Management and Control of Industrial Systems (S02) Economics and Management in Industry PM K Czech Ostrava 1 Compulsory study plan
2020/2021 (N0413A270002) Quality Management and Control of Industrial Systems (S02) Economics and Management in Industry PM K Czech Ostrava 1 Compulsory study plan
2020/2021 (N0413A270002) Quality Management and Control of Industrial Systems (S02) Economics and Management in Industry PM P Czech Ostrava 1 Compulsory study plan
2019/2020 (N0413A270002) Quality Management and Control of Industrial Systems (S02) Economics and Management in Industry PM P Czech Ostrava 1 Compulsory study plan
2019/2020 (N0413A270002) Quality Management and Control of Industrial Systems (S02) Economics and Management in Industry PM K Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2021/2022 Summer
2020/2021 Summer
2019/2020 Summer