Objectives and competences
The student will:
1. Understand the fundamental concepts of deterministic modelling in operational research
2. Understand the fundamental 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. Introduction to deterministic models in operational research
1.1. Basics of linear programming
1.2. Basics of transportation problems
1.3. Basics of network models
2. Introduction to stochastic models in operational research, Markov processes
2.1. Basics of discrete time Markov chains
2.2. Basics of Poisson process
2.3. Basics of queueing theory
3. Practical applications in management
Intended learning outcomes - transferable/key skills and other attributes
Knowledge and understanding:
• Basic understanding of fundamental deterministic methods from operational research,
• Basic understanding of fundamental stochastic methods from operational research
• Ability of practical application of basic deterministic and stochastic models of operational research to decision making and optimization problems,
• Ability of quantitative analysis of elementary organizational problems considering information and production systems.
Readings
Obvezna/Obilgatory:
1. Brezavšček, A., Urh, M., Rus, G. (2022). Osnove kvantitativnih metod 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:
3. Čižman, A. (2003). Operacijske raziskave: teorija in uporaba v organizaciji, Kranj, Moderna organizacija.
4. Hudoklin, A. (2004). Stohastični procesi, VI. Izdaja, Založba moderna organizacija, Kranj.
5. Hudoklin, A., Sabolek, R., Brezavšček, A. (2000). Stohastični procesi, Zbirka rešenih nalog, Moderna organizacija, Kranj.
6. Anderson, D.R., Sweeney, D.J., Williams, T.A. (2016). An Introduction to Management Science:
Quantitative Approaches to Decision Making,14th Ed., Cengage Learning.
7. Hillier, F. S. (2015). Introduction to operations research, 10th Ed., Boston, McGraw-Hill.
8. Taylor, B. W. (2013). Introduction to Management Science, 11th Ed., Boston, Pearson Education.
