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
Learning and teaching methods
• Lectures
• Tutorial
• e-Learning
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
1. Brezavšček, A. (2021). Stohastični modeli v operacijskih raziskavah: skripta: študijsko gradivo za predmete Osnove kvantitativnih metod III in Kvantitativne metode III (str. 95). Fakulteta za organizacijske vede.
2. Čižman, A. (2004). Operacijske raziskave: teorija in uporaba v organizaciji (str. 195). Moderna organizacija.
3. Hudoklin, A. (2004). Stohastični procesi (6. izd.). Založba Moderna organizacija.
4. Hudoklin, A., Sabolek, R., & Brezavšček, A. (2000). Stohastični procesi: Zbirka rešenih nalog. Založba Moderna organizacija.
5. Hillier, F. S., & Lieberman, G. J. (2015). Introduction to operations research (10th ed., str. XXX, 1010). McGraw-Hill Higher Education.
Prerequisits
There are no conditions for inclusion
Additional information on implementation and assessment Calculation exam (50%)
Theoretical exam (50%)
Note:
Criteria for passing the exam:
at least 50% of the maximum score at the calculation exam and at least 50% of the maximum score at the theoretical exam
Final exam can be substituted with half term exams (2 half term exams).
