Work place: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv 03056, Ukraine
E-mail: pavlov.fiot@gmail.com
Website:
Research Interests:
Biography
Alexander Pavlov is a professor of the Department of Computer Science and Software Engineering in Igor Sikorsky Kyiv Polytechnic Institute, Ukraine. He got a PhD degree in 1970 and Doct. of Science degree in 1977. Associate professor of Technical Cybernetics Dept. since 1974. Professor (since 1979) and head (since 1981) of the Dept. of Computer-Aided Management Systems (renamed to Dept. of Computer-Aided Management and Data Processing Systems in 1994). Dean of the Faculty of Informatics and Computer Engineering in 1995–2018. Honored Worker of Science and Technology of Ukraine (1998). Winner of the State Prize of Ukraine in Science and Technology (2009). Academician in the Academy of Sciences of the Higher School of Ukraine. His research interests include combinatorial optimization, discrete production systems management, decision making under uncertainty, and regression analysis. Scopus ID: 57202701815
By Alexander Pavlov Kateryna Lishchuk Oleg Melnikov Mykyta Kyselov Cennuo Hu
DOI: https://doi.org/10.5815/ijitcs.2025.04.01, Pub. Date: 8 Aug. 2025
The problems of managing modern complex organizational and manufacturing systems, such as international production corporations, regional economies, sectoral ministries, etc., in conditions of fierce competition are primarily related to the need to consider the activity of organizational and manufacturing objects that make up a multi-level manufacturing system, that is, the ability to efficiently solve the problem of coordinating interests. This problem cannot be solved efficiently without the use of modern scientific achievements and appropriate software. As an example, we can cite the active systems theory pioneered by Prof. V. M. Burkov and his students, which successfully claims to be a constructive implementation of the idea of coordinated planning. This paper proposes new models and methods of coordinated planning of two-level organizational and manufacturing systems. Our models and methods use original compromise criteria and the corresponding constructive algorithms. The original aggregated volume-time models are used as models of organizational and manufacturing objects. We present a well-founded software structure for the proposed methods of coordinated planning. It contains an intelligent interface for using the presented results in solving applied problems.
[...] Read more.Subscribe to receive issue release notifications and newsletters from MECS Press journals