Keywords: logistics process, digital control, decision-making system, multivariate optimization, simulation
Features of building a decision-making system with multivariate optimization of the structure of digital control of the logistics process in an organizational system based on simulation
UDC 681.3
DOI: 10.26102/2310-6018/2021.34.3.021
The article discusses the features of building a decision-making system with multivariate optimization of the structure of digital control of the logistics process. The key feature is the integration of the process of transferring the results of activities of the objects of the organizational system participating in the logistics process, and information exchange between the digital platforms of the control center and objects. The variety of structural relationships between the levels of digital control determines the need to choose the optimal option for two sets of indicators that characterize, on the one hand, the efficiency of movement of material flows, and on the other, the efficiency of information exchange between digital platforms. Based on these features, the components of the decision-making system have been substantiated, which allows, on the basis of the requirements determined by the management center, to choose the optimal structural solution. Since the selection process is carried out on a set of performance indicators, its formalized description is presented in the form of multicriteria optimization problems. In this case, for the algorithmization of decision-making, it is proposed to use a simulation model of a multiphase queuing system, adequate to digital control of the movement of material flows between objects of the organizational system.
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Keywords: logistics process, digital control, decision-making system, multivariate optimization, simulation
For citation: Borzova A.S., Mukha V.V. Features of building a decision-making system with multivariate optimization of the structure of digital control of the logistics process in an organizational system based on simulation. Modeling, Optimization and Information Technology. 2021;9(3). URL: https://moitvivt.ru/ru/journal/pdf?id=1048 DOI: 10.26102/2310-6018/2021.34.3.021 (In Russ).
Received 11.09.2021
Revised 20.09.2021
Accepted 28.09.2021
Published 30.09.2021