Application of Intelligent Algorithms for the Development of a Virtual Automated Planning Assistant for the Optimal Tourist Travel Route

Yanishevskaya, Natalia; Kuznetsova, Larisa; Lokhacheva, Ksenia; Zabrodina, Lubov; Parfenov, Denis; Bolodurina, Irina

doi:10.1007/978-3-030-39162-1_2

Cited by 1 publication

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References 15 publications

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“…Искажение же информации, причем даже незначительное, ведет к снижению эффективности управления, а значит и влияет на издержки и прибыль компании. В этом случае актуально вести речь о разработке и внедрении в процессы управления грузопотоками автоматизированных, экспертных и интеллектуальных систем [5], реализованных посредством современного программного обеспечения и цифровых технологий, направленных на поддержку принятия решений.…”

Section: Introductionunclassified

Mathematical and instrumental means of providing an intelligent decision support system for cargo traffic management

Bolodurina

Speshilov

2023

Appl. Math. Control Sci.

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In the current geopolitical and economic conditions, the issue of making operational management decisions for the effective functioning of the country's enterprises is particularly acute, taking into account organizational and technological features, as well as increasing levels of risk and uncertainty associated, among other things, with the need to process flows of specific rapidly changing information. In this regard, intelligent decision support systems are becoming increasingly popular, containing modules for collecting, processing and modeling formalized data and having both a universal character and adaptation to a specific range of issues relevant to a certain group or even a single enterprise. The purpose of the presented study was to develop such a system for managing cargo flows. Based on the analysis, the developed intelligent decision support system is proposed, which is used to improve the efficiency of the cargo flow management process. Its main blocks and their logical relationship are described. The mathematical support consists of a complex of classical models adapted to individual modules, as well as developed generalized models of cargo planning and placement. When forming a set of alternative routes, Yandex Maps are used. To automate the selection of the cargo transportation route, algorithms of fuzzy logic rules are used, with the implementation of calculations in the Yandex DataLens environment. The main attention is paid to the subsystem of cargo transportation process management. A generalized functional scheme of digitalization of the formation of waybills and control is presented, as well as a block diagram of the algorithm based on a software product developed and implemented at a number of enterprises that automates the process of filling out waybills, taking into account the specifics of the fleet and selected routes. Within the framework of the synthesis of the structure and algorithm of the intelligent system, which allows to optimize the process of organizing cargo transportation, the approbation of individual proposed modules and approaches was carried out, which showed an increase in the efficiency of forming and choosing routes for organizing cargo flows, reducing the time to find an operational solution, as well as the costs of transportation and control of cargo movement in the conditions of emerging problems associated with accidental factors. The intelligent decision support system is aimed at small firms, as well as enterprises engaged, among other things, also in the organization of cargo transportation by means of their vehicles, since they are in a greater risk zone than large companies whose main economic activity is the provision of cargo transportation services and having a wide network of representative offices, logistics centers and the composition of vehicles.

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Section: Introductionunclassified

Mathematical and instrumental means of providing an intelligent decision support system for cargo traffic management

Bolodurina

Speshilov

2023

Appl. Math. Control Sci.

View full text Add to dashboard Cite

show abstract

Application of Intelligent Algorithms for the Development of a Virtual Automated Planning Assistant for the Optimal Tourist Travel Route

Cited by 1 publication

References 15 publications

Mathematical and instrumental means of providing an intelligent decision support system for cargo traffic management

Mathematical and instrumental means of providing an intelligent decision support system for cargo traffic management

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