{"title":"Approaches to determining the geometry coefficient of network organizational structures","authors":"Yuri V. Gorelov, T. N. Tkacheva","doi":"10.20291/2079-0392-2022-3-61-66","DOIUrl":null,"url":null,"abstract":"The article analyzes the methods of determining the geometry coefficient in network organizational structures and offers its own ways of calculating it. The geometry coefficient is presented as an integral indicator which consolidates the coefficients of filling orbits, connectivity and criticality of connections. The orbit filling coefficient characterizes the organizational network through the reserve production capacities realized by the enterprises of the organizational network in the free market. The connectivity coefficient characterizes excess mileage, transport load, fuel consumption and the remoteness of organizational network elements from the integrator. The coefficient of criticality of connections characterizes the organizational network through availability of subsuppliers in the elements belonging to the first from the integrator orbit of the network structure. The developed methodology for determining the organizational network geometry coefficient makes it possible to evaluate the work of the network from the side of geometric indicators. The existing methods of determining the coefficient in network organizational structures are also analyzed. The disadvantages and features of calculating the geometric characteristics of organizational networks are revealed. The author’s methods for determining the indicators included in the coefficient of the geometry of network structures are proposed. The geometry coefficient is presented as an integral indicator that consolidates the filling coefficients of orbits, connectivity and criticality of connections. The orbit filling coefficient characterizes the organizational network through the reserve production capacities realized by the enterprises of the organizational network in the free market. The greater the volume of reserve production capacities possessed by enterprises of the first orbit integrator, the greater the filling of the organizational network as a whole. The connectivity coefficient characterizes excess mileage, transport load, fuel consumption and the remoteness of organizational network elements from the integrator. The coefficient of criticality of connections characterizes the organizational network through availability of subsuppliers in the elements belonging to the first from the integrator orbit of the network structure. The developed methodology for determining the organizational network geometry coefficient allows us to evaluate the work of the network from the geometric haracteristics side. The methodology can be applied when forming a network organizational structure and quantifying its elements.","PeriodicalId":118708,"journal":{"name":"Herald of the Ural State University of Railway Transport","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Herald of the Ural State University of Railway Transport","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20291/2079-0392-2022-3-61-66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article analyzes the methods of determining the geometry coefficient in network organizational structures and offers its own ways of calculating it. The geometry coefficient is presented as an integral indicator which consolidates the coefficients of filling orbits, connectivity and criticality of connections. The orbit filling coefficient characterizes the organizational network through the reserve production capacities realized by the enterprises of the organizational network in the free market. The connectivity coefficient characterizes excess mileage, transport load, fuel consumption and the remoteness of organizational network elements from the integrator. The coefficient of criticality of connections characterizes the organizational network through availability of subsuppliers in the elements belonging to the first from the integrator orbit of the network structure. The developed methodology for determining the organizational network geometry coefficient makes it possible to evaluate the work of the network from the side of geometric indicators. The existing methods of determining the coefficient in network organizational structures are also analyzed. The disadvantages and features of calculating the geometric characteristics of organizational networks are revealed. The author’s methods for determining the indicators included in the coefficient of the geometry of network structures are proposed. The geometry coefficient is presented as an integral indicator that consolidates the filling coefficients of orbits, connectivity and criticality of connections. The orbit filling coefficient characterizes the organizational network through the reserve production capacities realized by the enterprises of the organizational network in the free market. The greater the volume of reserve production capacities possessed by enterprises of the first orbit integrator, the greater the filling of the organizational network as a whole. The connectivity coefficient characterizes excess mileage, transport load, fuel consumption and the remoteness of organizational network elements from the integrator. The coefficient of criticality of connections characterizes the organizational network through availability of subsuppliers in the elements belonging to the first from the integrator orbit of the network structure. The developed methodology for determining the organizational network geometry coefficient allows us to evaluate the work of the network from the geometric haracteristics side. The methodology can be applied when forming a network organizational structure and quantifying its elements.