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Objectives and competences

The student will: 1. Understand the main concepts of deterministic modelling in operational research 2. Understand the main concepts of stochastic modelling in operational research 3. Become familiar with applicability of quantitative methods from operational research to manage various decision making and optimization problems in an organization.

Content (Syllabus outline)

1. Deterministic models in operational research 1.1 Linear programming 1.2 Integer programming 1.3 Sensitivity analysis 1.4 Transportation problems 1.5 Network models 1. Allocation methods 2. Stochastic models in operational research 2.1 Discrete Markov chains 2.2 Poisson process 2.3 Birth-death processes 2.4 Queuing theory 3. Practical applications in management

Learning and teaching methods

• Lectures • Tutorial • e-Learning

Intended learning outcomes - transferable/key skills and other attributes

Knowledge and understanding: • In-depth understanding of deterministic methods from operational research, • In-depth understanding of stochastic methods from operational research, • Ability of practical application of deterministic and stochastic models of operational research to decision making and optimization problems, • Ability of in-depth quantitative analysis of particular organizational problems considering information and production systems.

Readings

Obvezna/Obilgatory: 1. Brezavšček, A., Urh, M., Rus G (2022). Kvantitativne metode III, elektronsko učno gradivo, spletna učilnica Moodle. 2. BREZAVŠČEK, Alenka. Stohastični modeli v operacijskih raziskavah : skripta : študijsko gradivo za predmete Osnove kvantitativnih metod III in Kvantitativne metode III. Kranj: Fakulteta za organizacijske vede, 2021. 1 spletni vir (1 datoteka PDF (95 str.)). https://estudij.um.si/pluginfile.php/595813/mod_resource/content/5/Stohasti%C4%8Dni%20modeli%20v%20operacijskih%20raziskavah%20-%20%C5%A1tudijsko%20gradivo.pdf, https://estudij.um.si/pluginfile.php/647334/mod_resource/content/23/Stohasti%C4%8Dni%20modeli%20v%20operacijskih%20raziskavah%20-%20%C5%A1tudijsko%20gradivo.pdf. [COBISS.SI-ID 72918019] Priporočljiva/Recommended: 1. Čižman, A. (2003). Operacijske raziskave: teorija in uporaba v organizaciji. Kranj, Moderna organizacija. 2. Hudoklin, A., (2004). Stohastični procesi, VI. Izdaja, Založba moderna organizacija, Kranj. 3. Hudoklin, A., Sabolek R., Brezavšček A. (2000). Stohastični procesi, Zbirka rešenih nalog, Moderna organizacija, Kranj. 4. Anderson, D.R., Sweeney, D.J., Williams, T.A. (2016). An Introduction to Management Science: Quantitative Approaches to Decision Making,14th Ed., Cengage Learning. 5. Hillier, F.S. (2015). Introduction to operations research, 10th Ed., Boston, McGraw-Hill. 6. Taylor, B. W. (2013). Introduction to Management Science, 11th Ed., Boston, Pearson Education. 7. Sarker, R.A., Newton, C.S. (2008). Optimization modelling: a practical approach, Boca Raton, London. 8. Gross, D. idr. (2008). Fundamentals of queueing theory, Hoboken: Wiley. 9. Beichelt, F. (2006). Stochastic processes in science, engineering and finance, Chapman & Hall/CRC, Boca Raton.

Prerequisits

Familiarity with the courses Mathematics in organizational sciences and Statistics

  • izr. prof. dr. ALENKA BREZAVŠČEK, univ. dipl. org.

  • Calculation exam: 50
  • Theoretical exam: 50

  • : 51
  • : 24
  • : 105

  • Slovenian
  • Slovenian

  • ENTERPRISE ENGINEERING - 2nd
  • ORGANIZATION AND MANAGEMENT OF INFORMATION SYSTEMS - 2nd