Course Content (Syllabus)
Complex problems in management and business. Multiplicity of solutions, constraints, multiple criteria, dynamic environments. Examples of complex management problems in business.
Classical methods of operations research: Mathematical modeling. Linear programming, transportation problems, assignment of works, problems in production lines, network analysis (deterministic and stochastic) in project management.
Statistical methods: Exploratory data analysis. Statistical methods for quality control. Modeling and performance evaluation business with Data Envelopment Analysis (Data Envelopment Analysis-DEA).
Optimization: optimization algorithms with a focus on probabilistic techniques (eg simulated annealing) with application to business/operational problems (inventory problems, transportation problems , scheduling , etc.).
Case studies from companies with technical description and analysis of large amounts of data: Grouping customers based on buying habits, producing personalized recommendations, discovering correlations between products, sales forecasting , targeted advertising, investment strategies, discovery of fraud etc.
Software (Lindo, R, PMML , etc.) with emphasis on free open source software. Case studies.
Course Bibliography (Eudoxus)
Επιχειρησιακή έρευνα, μεθοδολογία, εφαρμογές και προβλήματα, πληροφοριακά συστήματα διοίκησης. Κώστογλου Βασίλειος. ΤΖΙΟΛΑ
ΕΠΙΧΕΙΡΗΣΙΑΚΗ ΕΡΕΥΝΑ, ΕΦΑΡΜΟΓΕΣ ΣΤΗ ΣΗΜΕΡΙΝΗ ΕΠΙΧΕΙΡΗΣΗ. ΠΑΝΤΕΛΗΣ ΥΨΗΛΑΝΤΗΣ. ΠΡΟΠΟΜΠΟΣ
SCHAUM'S ΕΠΙΧΕΙΡΗΣΙΑΚΗ ΕΡΕΥΝΑ. RICHARD BRONSON, GOVINDASAMI NAADIMUTHU, ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ