THE SCIENTIFIC CONFERENCE’S RESULTS: LOGISTIC VIEW “Mathematical modeling, optimization and information technology”

Abstract

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.

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