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Intelligent soft package for modeling optimization processes for managing the activities of the Bank's retail unit

Currently, one of the main directions in the field of banking process automation is the creation and implementation of integrated management decision support systems. In the context of growing competition and general digitalization of the economy, the issue of improving the efficiency of bank management is most acute. Most of the automated systems used in this area are aimed at identifying "gaps" in existing business processes and further optimizing their individual parts. Moreover, such systems are not based on economic and mathematical models and algorithms for their solution. This article presents a description of an intelligent computer software package that allows you to simulate the optimization of software and adaptive management of specific business processes - managing the number of personnel and the sales system of the retail block of a commercial bank. The basis of the developed software package is a discrete dynamic economic and mathematical model of the investigated business processes and the developed optimization algorithms for software and adaptive control of these processes. The process of making decisions on the recruitment/reduction of the staff of various categories of employees of the Retail block of a commercial bank, as well as on the management of the sales system provided by the relevant employees. The paper presents the main stages of creating the proposed controlled dynamic model with a vector quality criterion. Based on computer modeling with the help of the developed intelligent computer software complex, the results of optimal solutions for various options for practical examples were obtained. The results are graphically illustrated and analyzed. Based on the proposed dynamic model, it is possible to solve other problems of optimizing software and adaptive management of processes that determine banking activities and develop automated information systems for implementing support for managerial decision-making in this area. Read more...