MODEL AND ALGORITHM OF OPERATIONAL PLANNING OF LOGISTIC PROCESSES OF TIMELY DELIVERY OF CARGO WITH THE INTERACTION OF A GROUP OF ROBOTIC COMPLEXES

The purpose of the study is to improve the quality of operational planning (program control) of logisticsprocesses in the conditions of modern urban systems with the interaction of a group of robotic systems.The quality of management in this study will be assessed by the number of deliveries completed afterestablished directive deadlines. The goal set during the study is decomposed into the following tasks: systemanalysis of the current state of research in the field of metropolitan logistics, implementation of asubstantive and formal formulation of the problem of operational planning of logistics processes in a metropolisusing a group of robotic complexes, development of a model and algorithm for operational planningof logistics processes in a metropolis using a grouping of robotic complexes, development of specialmodel-algorithmic support and its software prototype for solving the problem of operational planning oflogistics processes in a metropolis using a grouping of robotic complexes. Proactive (anticipatory) managementof a group of robotic systems when solving transport and logistics problems in a metropolis within the framework of the “Smart City” concept allows increasing the economic efficiency of cargo delivery.The article examines the scientific and technical problem of synthesizing technologies (plans) for the timelydelivery of small-sized cargo using a group of robotic systems. The scientific significance lies in theapplication of the concept of integrated (system) modeling and proactive (anticipatory) management, andthe practical significance lies in ensuring timely delivery of goods using a group of robotic complexes in ametropolis. The article discusses an example of solving the problem of operational planning of logisticsprocesses using the example of Innopolis using the characteristics of Yandex delivery robots (as roboticcomplexes). During the study, an analysis of various options for objective functions was carried out: maximizingprofit and minimizing delivery time; profit maximization; minimizing time; minimizing the numberof robotic systems. The following indicators were chosen to evaluate the results obtained: total profit fromdeliveries; the number of deliveries not delivered on time and the total number of completed orders.The most suitable objective functions for solving the problem are time minimization or simultaneous timeminimization and profit maximization. In addition, the conclusion provides directions for further research