Operational Research Stream
This year Operational Research (OR) stream will cover a big variety of topics. Participants of the stream will learn how Operational Research specialists use mathematical models to improve decision making in the face of uncertainty in real problems of business, government and society.
The overview of OR methods for manufacturing and supply chain management will bring you to the understanding of global markets and international business. You will become familiar with manufacturing strategies and operations, present-day methods for production planning, transportation problems solving, demand and supply synchronization.
The modern world economy is characterized by constant growth of its complexity, increase in dynamics and thus, in its value. We also can observe financial markets development. Need in business processes flowing support causes financial instruments evolution. Stream will consist of several courses dedicated to contemporary methods of financial markets modeling.
Following areas will be covered:
- Financial markets modeling (Financial Mathematics; Levy Processes in Finance; Portfolio Investment Theory; Mathematical Behavioral Finance; Stochastic Calculus; Investment Optimization; Market Data Analysis)
- Logistics and Supply Chain Modeling (Just In Time and Pull Production systems; Lean Manufacturing and Reverse Logistics; Supply Chains Collaborative Planning; Crisis and Disaster Operations; Optimal Transportation)
- Fundamental problems (Anticipation: Phenomenon, Modeling and Occurrence in OR).
Courses of the stream are:
- Financial Mathematics and Related Topics in Economics and Development (8 h)
- Decision Support for Crisis Disaster Operations (10 h)
- Linear Programming: Theory and Applications (8 h)
- Anticipation: Phenomenon, Modeling and Occurrence in Operational Research (5 h)
- Portfolio Investment Theory and Market Data Analysis (6 h)
- Multi-response optimization approaches and their applications in parameter design for robust products (8 h)
- Introduction to Lean Manufacturing (8 h)
- Mathematical Programming Modeling for Supply Chain Management (5 h)
- Optimal Investment in Incomplete Markets (3 h)
- Levy Processes (3 h)
- Network flow programming: models and applications (4 h)
Prerequisites: proficiency in basic calculus is the only requirement for the stream courses.
Number of credits: 3 ECTS (P/F)
Tutors of the stream are:
Prof. Ivan V. Arzhantsev, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Associate Professor; School of Applied Mathematics and Information Science, Higher School of Economics, Moscow, Professor; Yandex, Russia.
Prof. G?lser K?ksal, Industrial Engineering Department, Middle East Technical University, Ankara, Turkey.
Prof. Erik Kropat, Institute for Theoretical Computer Science, Mathematics and Operations Research, Bundeswehr University Munich, Germany.
Prof. Oleksandr Makarenko, Institute for Applied System Analysis, National Technical University of Ukraine "KPI", Kyiv, Ukraine.
Mr. Francisco Jos? Ferriols Mart?nez, INEDE Business School – Catholic University of Valencia; Department of Business Management, Polytechnic University of Valencia, Spain.
Dr. Dmytro Matsypura, University of Sydney, Australia.
Prof. Yoshio Matsuki, Institute for Applied System Analysis, National Technical University of Ukraine “KPI”.
Dr. Oleksii Mostovyi, University of Texas, Austin, USA.
Dr. David P?rez Perales, Department of Business Management, Polytechnic University of Valencia, Spain.
Mr. Illia Simonov, Montanuniversitaet Leoben (University of Leoben), Austria.
Prof. Gerhard-Wilhelm Weber, Department of Financial Mathematics, Middle East Technical University, Ankara, Turkey.