{"id":35478,"date":"2025-04-12T17:37:47","date_gmt":"2025-04-12T15:37:47","guid":{"rendered":"https:\/\/mead.upatras.gr\/?post_type=courses&p=35478"},"modified":"2025-04-12T17:37:47","modified_gmt":"2025-04-12T15:37:47","slug":"operations-research-ii","status":"publish","type":"courses","link":"https:\/\/mead.upatras.gr\/en\/courses\/operations-research-ii\/","title":{"rendered":"Operations Research \u0399\u0399"},"content":{"rendered":"

COURSE CONTENT<\/strong><\/p>\n

Section 1<\/u>: Criteria for decision-making under uncertainty, Maximin, Maximax, Hurwicz, Minimax Regret, Mean value, Criteria for decision-making under risk, Maximization of expected return, Expected value of perfect information, Presenting computational (software) tools by realizing related exercises in Microsoft Excel<\/p>\n

Section 2<\/u>: Decision trees, Solving decision trees and risk-based problems, Use of probabilities, Bayes\u2019 theorem, Presenting computational (software) tools by realizing related exercises in POM-QM for Windows.<\/p>\n

Section 3<\/u>: Utility\/Value theory, Utility\/Value functions, Linear & non-linear utility functions, Preference structures, Presenting computational (software) tools by realizing related exercises in Microsoft Excel<\/p>\n

Section 4<\/u>: Management of uncertainty, Sensitivity analysis, Risk analysis, Simulation-Monte Carlo technique, Presenting computational (software) tools by realizing related exercises in Microsoft Excel<\/p>\n

Section 5<\/u>: Multi-Criteria Decision Making, Introduction, Examples, Categories of MCDA methods, Typology of MCDA problems, Criteria, Pseudocriteria, Alternatives, Pareto optimal solutions.<\/p>\n

Section 6<\/u>: Criteria weights, Preference expression models, Intra-criteria & Inter-criteria preferences, Methods & techniques for weight estimation<\/p>\n

Section 7<\/u>: Multicriteria Utility\/Value theory methods.<\/p>\n

Section 8<\/u>: PROMETHEE Methods, ELECTRE methods, Comparative application of multi-criteria methods, Presenting computational (software) tools by realizing related exercises using Microsoft Excel and Visual PROMETHEE.<\/p>\n

Section 9<\/u>: Queuing theory, Correlation between Exponential & Poisson distributions, Mathematical models & Queuing systems, Presenting computational (software) tools by realizing related exercises in POM-QM for Windows<\/p>\n

Section 10<\/u>: Network analysis, The Minimum Spanning Tree, Shortest Path and Maximum Flow problems<\/p>\n

LEARNING OUTCOMES<\/strong><\/p>\n

The course aims to educate undergraduate students in specific fields of Operational Research having important applications in Engineering, Industry, Management and Decision Making. The purpose is to familiarize students with methods and techniques to deal with problems under uncertainty and risk, but also under a multiple criteria framework with various alternatives. In addition, the course addresses a group of basic techniques for estimating the weighting factors of criteria. Special sections are devoted to Utility Theory, Simulation and Queuing Theory.<\/p>\n

Within this course, the students are expected to:<\/p>\n