Pavlov Alexander A.

Intractable problems of combinatorial optimization and the theory of PSC-algorithms

The work continues a series of works devoted to the development of the theory of PSC-algorithms and to the creation on its basis of models and methods of scheduling, operational planning, and decision-making in complex socio-economic systems with a network representation of technological processes and limited resources.

The theory of PDC-algorithms and creation on its base the models and methods of planning, decision making and operational management in networked systems with limited resources

The object of study is planning and operational management processes in complex organizational and economic systems with networked production processes and limited resources. Subject of research is the development and application of new techniques and concepts of planning, decision making and operational management in complex organizational and economic systems with networked production processes and limited resources. The purpose of the work is the development of the theory of PDC-algorithms for intractable combinatorial optimization problems (ICOP) developed by prof.

Mathematical models and methods creation for hierarchical planning and decision making in production systems with limited resources

The overall fundamental problem to be solved by the project is the development of mathematical models and methods of hierarchical planning and decision making in a complex organizational and production systems with network representation of technological processes and limited resources.

The mathematical models and methods for planning and decision making in complex systems under uncertainty

1. Номер государственной регистрации темы – 0111U000740, НТУУ «КПИ» – 2400-ф.
2. Научный руководитель – д.т.н., проф. Pavlov Alexander A.
3. Суть розробки, основні результати.