Data Modelling for Analysis of Readness of Municipal Education in Industry 5.0 Irina Khaimovich Vladimir Ramzaev Vadim Chumak Samara University of Public Samara University of Public Samara University of Public Administration International Market Administration International Market Administration International Market Institute; Institute Institute Samara National Research University Samara,Russia Samara,Russia Samara, Russia ramzaevvm@mail.ru imi@imi-samara.ru kovalek68@mail.ru Abstract—The purpose of the study is to determine the level Industry 5.0, Society 5.0, Society 5.0, Super Smart Society. of readiness of municipalities in the Samara Oblast to Under any of these terms there is a socio-economic and introduce Industry 5.0 technologies. The authors propose a cultural strategy for the development of society based on the mathematical model that allows determining the level of use of digital technologies in all spheres of life [1, 2]. readiness of municipalities in the Samara Oblast to introduce Industry 5.0 includes nine key features (the use of Industry 5.0 technologies with a further increase in the competitiveness of municipalities, select projects that are most autonomous robots, the modeling of complex objects, the suitable for the current level of preparation for Industry 5.0, use of integration systems, cyber security, Internet of things, and identify the main difficulties in their implementation. The cloud computing, additive manufacturing, and additional study developed innovative indicators of the readiness of reality and Big Data technologies). municipalities to enter Industry 5.0. The innovative indicators This strategy for the society development is based on the of the analysis that show the level of the preparation of technological structure, which is a set of related industries municipalities for entering Industry 5.0 include: the indicator that have a single technical level and develop of manufacturability, internetization, the introduction of new simultaneously. The change of technological structures technologies and others. The scope of the results is extensive. occurs in the sequence shown in Figure 1. This study will be interesting to scientists involved in the digital economy, Big Data management. To enter Industry 5.0, it is necessary to determine the willingness of municipalities of the Volga region to join this Keywords—Big Data, Industry 5.0, indicators, mathematical company, for this a study was conducted to determine the modeling readiness indicators of the municipalities to enter Industry 5.0 and it was possible to identify the dependence of I. STATEMENT OF THE PROBLEM increasing the competitiveness of the municipality and new Today, society is moving towards a new industry 5.0, indicators of the assessment system. this industry is also denoted by the following terms: Fig. 1. Change of technological modes. Institute”. For several years, the university conducted II. DEVELOPMENT OF METHODS FOR IMPROVING THE research on the competitiveness of territories: the region, MUNICIPALITY COMPETITIVENESS OF THROUGH THE USE OF urban districts, including small and single-industry towns, INDUSTRY 5.0 TECHNOLOGIES municipalities and rural settlements. The calculation of the possibility of entering Industry 5.0 The approach used is based on an understanding of technology is directly related to the notion of competitiveness as the ability to compete in the process of competitiveness of municipal entities. Competitiveness is competition for limited resources [1, 2]. the most important characteristic of the development of The developed methodology is based on an economic- socio-economic systems, including territories. This area is mathematical model of an additive type for assessing the one of the priorities for the research center of the Samara state of competitiveness of a territory: University of Public Administration “International Market Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) Data Science The innovation indicator of urban infrastructure can be calculated as follows: T4 = q1 / Q + x1 / X, where q1 is the scope of work performed to replace innovation infrastructure facilities, Q is the scope of work, necessary to replace all infrastructure, x1 is the volume of innovation products in techno parks and etc., Х is the volume of production at all enterprises in the municipal entities. where KS is the competitiveness; GF is the geographic The urbanization intellectualization indicator is related factor; PRF is the natural resource factor; EF is the to the following dependence: ecological factor; PPF is the industrial production factor; T5 = (g1 + g2 +g3)/ G, APF is the agrarian business factor; SF is the social factor; where g1 is the number of innovation products, g2 is the FEF is the financial and economic factor; IfF is the number of patents, g3 is the number of grants, G is the total infrastructural factor; UVF is factor that shows the level of of all new products. engagement with superior public authorities; IF – innovative The indicator of intellectualization is associated with factor; InF is the investment factor; SC is the factor of innovative products, patents, scientific grants. Significant municipality entering into Industry 5.0; ξ is the coefficient developments are being carried out in Samara in the field of of factor significance (is defined by the expert opinions). implementing information technologies in the field of In the process of research, 12 factors of competitiveness technological production, for example, in the field of hot were identified that are characteristic of the current level of forging [4-6], milling on CNC machines [7], additive socio-economic development of territories. Each of the technologies on a 3D printer [8, 9]. Many new factors has its own significance, which determines its developments also relate to the field of creating new weight, contribution to the final value of competitiveness. materials [10-12] and other technological processes [13-15], The weights of the factors are different for territories of in addition to automation of technological production, there different types, which reflect the differentiation in the are scientific developments in the field of production current state of the development process. organization [16] and economic research [17]. Since access to understanding and visibility of The indicator of financial independence of the budget is information are important for making managerial decisions, expressed as follows: a multidimensional visualization of the analysis results and T6 = d1 / d2, assessment of the state of competitiveness is proposed. By where d1 is the municipal debt, d2 is the budget income. choosing the dimensionality of space, it is possible to The energy efficiency indicator of the urban illustrate the level and contribution of certain environment can be calculated as follows: competitiveness factors for management purposes [3, 4]. T7 = y1/ Y + c1/ C, The entry factor of municipal entity in Industry 5.0 is where y1 is the volume of energy consumed by enterprises calculated as the average of the sum of indicators of in the municipal entity, Y is the volume of production using manufacturability, internetization, new technology energy resources; с1 is the cost of energy consumed by the introduction, innovation, intellectualization, financial population, С is the population of municipal entity [18]. independence of the budget and energy efficiency. Consider TABLE I. RESTRICTIONS ON INDICATORS OF MUNICIPALITY ENTERING the readiness indicators of the municipal entity for the INTO INDUSTRY 5.0 introduction of new technologies in the transition to the Indicator Ready for Medium Satisfactory Is not ready for technological structure of Industry 5.0. They include the implementation readiness readiness implementation following indicators [3]. T1 1 0.6 0.3 0.2 The manufacturability indicator is calculated according T2 1 0.4 0.4 0.3 T3 1 0.5 0.3 0.3 to the following dependence: T4 1 0.5 0.3 0.3 T1 = (n1 + n2 + n3)/ m, T5 1 0.8 0.4 0.2 where n1 is the number of enterprises upgraded no later than T6 (-) 1 0.5 0.4 0.3 2012, n2 is the number of enterprises upgraded no later than T7 1 0.6 0.4 0.35 2015, n3 is the number of enterprises upgraded no later than Total 6 3.7 2.5 1.95 2017, m is the total number of enterprises in municipal TABLE II. ESTIMATED RATIOS OF MUNICIPALITY ENTERING entity. INTO INDUSTRY 5.0 The internetization indicator is related by the following Industry 5.0 Samara Ulyanovsk expression: Manufacturability 0.59 0.47 T2 = K / 100%, where K is the internet coverage indicator in Intellectualization 0.82 1 the municipality entity. Financial New technology introduction indicator is calculated by independence -0.105 -0.038 the following dependence: Internetization 0.55 0.6 T3 = (s1 + s2 + s3)/ L, Innovation 0.7 0.87 where s1 is the number of media resources for 3 years, s2 is Energy efficiency 0.43 0.34 New technology the number of realized individual entertainment for 3 years, introduction 0.4975 0.5403 s3 is the number of created social enterprises for 3 years, L Total 3.4825 3.7823 is the number of created business objects for 3 years. VI International Conference on "Information Technology and Nanotechnology" (ITNT-2020) 2 Data Science required, which will enable the Samara municipality to move to the group of “ready for the introduction of a new technological structure Industry 5.0”. To calculate the coefficient of factor significance in the regression model of competitiveness according to the frequency analysis, we use the formula: ξi = xspi / n, where х spi is the average value of group of factors, n is the number of factor groups in the research in question. Let us determine the coefficients in the mathematical model of competitiveness according to the frequency analysis according to the formula: Fig. 2. Indicators of municipality readiness for Industry 5.0 implementation ξi = yspi / m, for Samara city. where у spi -is the average value of specific factor, m =5 is the maximum of importance degree of a factor. The average values of groups of factors for competitiveness are shown in the table 3. From here let us determine the values of the significance coefficient of factors: ξ1 = 9,13/12 =0,76; ξ2 = 0,61; ξ3 = 0,79; ξ4 = 0,29; ξ5 = 0,81; ξ6 = 0,3; ξ7 = 0,4; ξ8 = 0,42; ξ9 = 0,63; ξ10 = 0,42; ξ11= 0,38; ξ12= 0,68. As a result, the competitiveness model for the municipality will take the following form: Fig. 3. Indicators of municipality readiness for Industry 5.0 implementation KS = (0,76GF + 0,61PRF + 0,79EF + 0,29PPF + 0,81APF for Ulyanovsk city. +0,4FEF+ 0,42IfF + 0,63UVF + 0,42IF + 0,38InF + 0,68SC). TABLE III. COMPONENT TRANSFORMATION MATRIX N Mean 1_1. Factor rank 15 9.13 (geographic) 1_2. Factor rank (natural 15 7.33 resources) 1_3. Factor rank (ecological) 14 9.50 1_4. Factor rank (industrial 15 3.47 Fig. 4. Combined indicators of municipality readiness for Industry 5.0 production) implementation for Samara and Ulyanovsk. The values of the restrictions on readiness indicators for 1_5. Factor rank (agrarian 15 9.73 business) the implementation of Industry 5.0 in the municipal entities 1_6. Factor rank (social) 15 3.60 are shown in Table 1. 1_7. Factor rank (financial and 15 4.80 III. THE RESULTS OF EXPERIMENTAL STUDIES economic) 1_8. Factor rank (infrastructural) 15 5.07 After data calculating of indicators for the municipalities of Samara and Ulyanovsk, the following data were obtained 1_9. Factor rank (engagement 15 7.60 with public authorities) (shown in table 2). After assessing the readiness of the 1_10.Ранг фактора (innovative) 15 5.07 municipalities to enter Industry 5.0, it was found that municipality of Samara, has “medium readiness for the 1_11. Factor rank (investment) 15 4.53 implementation of Industry 5.0”, and the city of Ulyanovsk 1_12. Factor rank (municipality 15 8.20 is classified as “ready for the introduction of Industry 5.0” - entering Industry 5.0) the values are 3.48 and 3.78 (Fig . 2 and Fig. 3). A joint Valid N (skipped) 14 indicator chart of these cities is shown in Figure 4. The presented calculation models allow us to determine IV. CONCLUSION not only the readiness of the municipal entities to implement In further research, large volumes of streaming data in Industry 5.0 technologies, but also to identify segments that real time should be used to develop a model for predicting slow down the process of transition to a higher level group the competitiveness of territories. The purpose of this study or to a new technological structure. So, the city of Samara, is to develop models and methods for making managerial is in the group of “medium readiness to introduce Industry decisions based on forecasting the competitiveness of 5.0 technologies” due to the high financial dependence of territories. The objectives of this study include: determining the city budget (T6), the insufficient implementation of new competitiveness factors, developing a model of territorial technologies (T3) and the insufficient energy efficiency of competitiveness using expert assessments, generating the urban environment (T7). To solve the above problems, information on experts using BIG DATA technology. The the implementation of effective management decisions is research results include models for making managerial VI International Conference on "Information Technology and Nanotechnology" (ITNT-2020) 3 Data Science decisions on the competitiveness of territories using expert characteristics of samples obtained by selective laser melting assessments using BIG DATA technology [19]. Practical technology from VT6 alloy metal powder,” Nanomechanics Science and Technology, vol. 8, no. 4, pp. 323-330, 2017. results include improving the quality and timeliness of [10] F.V. Grechnikov, Ya.A. Erisov and S.E. 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