Annual Operational Research (OR) stream of the Summer School AACIMP aims to provide overview on state-of-the-art OR. Hereinafter we refer to OR as field that studies advanced analytic techniques as a means to improve decision-making. Operational Research claims to be interdisciplinary, considering a vast variety of scientific areas where its methods and techniques are often applicable. Participants of the stream will learn how Operational Research specialists use different types of models (both hard and soft OR techniques) to improve decision making in the face of uncertainty in real problems of business, governments or society.

This year OR stream will provide an overview of methods for supply chain management, giving understanding of humanitarian (disaster relief operations) and commercial (global markets and international business) logistics. Participants will become familiar with such topics as type and quantity of the resources, way of procurement and storage of the supplies, specialization and cooperation of chain links, present-day methods for production planning, transportation problems solving, demand and supply synchronization etc.

Another part of the stream courses will be dedicated to the modern world economy which is characterized by constant growth of its complexity, increase in dynamics and its monetary value. We also can observe financial markets development. A need in support of business process flows causes evolution of financial instruments. Stream will consist of several courses dedicated to contemporary methods of financial markets modelling.

Additionally, several courses will introduce soft OR methods and approaches. A number of problems cannot be modelled with mathematical tools as their formalization with pure logic is unfeasible or their computational complexity grows too fast. To resolve this you will be equipped with soft OR techniques that seek to help key stakeholders understand the problems they face, identify the views held by other stakeholders, negotiate the action to take, and agree to a consensus on a course(s) of action to be taken. It generates debate, learning, and understanding, and use this understanding to progress through complex problems.

Courses of the stream are:

• Intelligent Decision Support for Crisis and Disaster Management (10 h)
• Financial Mathematics and Related Topics in Economics and Development (8 h)
• Decision making with multiple criteria (8 h)
• Quantitative Models in Supply Chain Management (9 h)
• Introduction to Business Intelligence
• Principles and strategy of auction design
• Computational Finance and Risk Analytics
• Brief Introduction to Integer and Combinatorial Optimization (3 h)
  
• Metrics for measuring advertising effectiveness (3 h)
• Behavioral aspects of macroeconomic and financial forecasting (4 h)
• Several Fundamental Problems of Mathematical Finance (3 h)
• Mental aspects in operating research of large socioeconomic system and sustainable development (2 h)
• Introduction to the theory of negotiations (4 h)

Prerequisites
Proficiency in basic calculus is the only requirement for the stream courses.

Tutors of the stream are:

Dr. Emel Aktas, Senior Lecturer at Cranfield University, United Kingdom

Prof. Giuseppe Bruno, University of Naples “Federico II”, University Parthenope of Naples, Naples, Italy

Dr. Nazar Fihun, Department of Marketing and Logistics, National University " Lvivska Polytechnika ", Ukraine

Mr. Pavlo Illashenko, Strategist and Portfolio Manager at “KINTO” Asset Management, Ukraine

Mr. Anton Ivinskyi, Yandex Ukraine, Ukraine

Mrs. Mila Krep, BI developer at Luxoft, Ukraine

Dr. Erik Kropat, University of the Bundeswehr Munich Institute for Applied Computer Science, Munich, Germany

Prof. Oleksandr Makarenko, Institute for Applied System Analysis, National Technical University of Ukraine "KPI", Ukraine

Dr. Oleksii Mostovyi, University of Texas, Austin, USA

Dr. Oleg Prokopyev, Department of Industrial Engineering, University of Pittsburgh, USA

Dr. Oleksandr Romanko, IBM Canada, University of Toronto, Canada

Prof. Gerhard Wilhelm Weber, Institute of Applied Mathematics, Middle East Technical University, Ankara, Turkey

Mr. Boris Yakovlev, INSEAD MBA Candidate, Ukraine

Number of credits: 3 ECTS (P/F)

Additionally 3 ECTS can be obtained from participation in the joint poster session.