"Mathematical modeling, optimization and information technology"

The economic consequences of the global COVID-19 pandemic have come as a shock to global and national economies, and its effects will be felt for a long time for different spheres. Quarantine restrictions have been added to traditional uncertainties such as changes in consumer demand and market conditions, reciprocal trade restrictions and climate change, which together increase logistics risks and complicate the management of the global supply chain, reduce it resilience and change its configuration.

Instability, complexity and uncertainty in the management of logistics systems and global supply chains raise the issue of finding new approaches to optimizing both individual logistics business processes and complex transport and logistics systems and networks of trade. One of the effective optimization tools is to use big data on the current state of objects and mathematical modeling, because they can be used to describe and optimize any business processes that depend on many variables. This is especially true in the field of logistics, as any logistics company currently operates a variety of information and communication technologies, including TMS (transport management systems), WMS (warehouse management systems), YMS (territorial management systems), CRM (customer relationship management system), ERP (enterprise resource management systems), etc. Thus, the combination of existing information infrastructure, databases and mathematical models can be a new source of improving the efficiency of supply chain management and logistics systems in general.
In this regard, we would like to draw the attention of the logistics business community to the results of the 7th International Scientific Conference “Mathematical Modeling, Optimization and Information Technology”, which took place from 15th to 19th of November, 2021 in online format. The event was part of the project CPEA-LT-2016/10003, funded by the Norwegian Agency for International Cooperation and Quality Improvement in Higher Education (DIKU). The conference was organized by the participants of the project: Transports, Informatics and Communications Academy of the Republic of Moldova, V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Moldova State University, Taras Shevchenko National University of Kyiv (Ukraine), Norwegian University of Science and Technology (Trondheim, Norway), Batumi Shota Rustaveli State University (Georgia), Ivan Javashi Tbilisi State University (Georgia), International Institute for Applied Systems Analysis (IIASA, Austria), Applied Systems Analysis National Academy of Sciences of Ukraine. The article proposes an eventual model of the algorithm for designing the logistics system of a production enterprise. The design algorithm was developed taking into account the activities of oil and fat industry enterprises. Structurally, the algorithm consists of three phases – the formation of an information array for the design of the logistics system, the design of the logistics system, the installation of the logistics system project at the enterprise. The optimal number of stages was substantiated for each design phase. According to the design stages, a list of works that must be performed in the process of project development and installation was described. Information on the time spent on each job at the stages of design and installation of the logistics system was provided. It is indicated that the development and installation of a logistics system at a manufacturing plant can take three to four months. The obtained research results are important for the top management of enterprises. They will allow to be guided in productivity of process of designing and installation of logistic systems. In the future, this will provide an opportunity to correctly draw up a logistics plan and adjust the development strategy of the enterprise. The material presented in the article is useful for researchers in terms of further consideration of improving existing or developing new algorithms and techniques for designing logistics systems of industrial enterprises.
More detailed information about the work of the conference MMOIT-2021 is presented on V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine website in “Events” section, which contains the program and materials of the conference URL-Conference
Chairman of the conference organizing committee,
Doctor of Technical Sciences, D.I. Solomon,

Co-Chairman of the conference organizing committee,
Doctor of Physical and Mathematical Sciences, P.I. Stetsiuk,

Member of the conference program committee,
Doctor of Economics, M.Yu. Hryhorak