“…An analysis of economic, environmental and social studies by scholars in the field of industrial business [15]- [19] allowed the authors to form 8 groups of indicators that determined the level of adaptive development of an industrial enterprise (R) ( Table I). We used a nested group system such as Resources (Y 1 ), Policy & Legal Environment (Y 2 ) for External Effects (Z 2 ) and Products (Y 3 ), Technologies & Equipment (Y 4 ) for Manufacturing System (Z 3 ).…”
Section: B Performing Operations Of the Algorithm Blocksmentioning
The development of an industrial enterprise in order to meet modern requirements should include the components of its digitalization. In Russia, the development of digitalization is supported at the state level. Meantime, limited resources require industrial enterprises to have a sound approach to choosing the direction of their development. This paper presents a methodology for choosing the direction of development of an industrial enterprise, which is based on an assessment of the level of development of that enterprise. An assessment of the level of corporate development is carried out using the method of fuzzy logic and the method of expert assessments. A nonlinear algorithm was used to find an integral indicator of the level of development of an industrial enterprise and choose a direction of development. The assessment process is digitalized and does not require special knowledge and skills of the corporate employees for its implementation. At the same time, it is possible to make adjustments to the indicators that determine the level of development of the industrial enterprise. An assessment of the level of development of an industrial enterprise is implemented in the original InfoLogicTools application in the MathCad simulation environment. Production tests of this application at existing industrial enterprises have allowed making some design changes to the application. The proposed methodology has a practical application. It allowed 3 Russian engineering plants to monitor their development. The monitoring results formed the basis for development activities. Further research is supposed to analyze and develop digitalization of the collection of information on the development of the enterprises.
“…An analysis of economic, environmental and social studies by scholars in the field of industrial business [15]- [19] allowed the authors to form 8 groups of indicators that determined the level of adaptive development of an industrial enterprise (R) ( Table I). We used a nested group system such as Resources (Y 1 ), Policy & Legal Environment (Y 2 ) for External Effects (Z 2 ) and Products (Y 3 ), Technologies & Equipment (Y 4 ) for Manufacturing System (Z 3 ).…”
Section: B Performing Operations Of the Algorithm Blocksmentioning
The development of an industrial enterprise in order to meet modern requirements should include the components of its digitalization. In Russia, the development of digitalization is supported at the state level. Meantime, limited resources require industrial enterprises to have a sound approach to choosing the direction of their development. This paper presents a methodology for choosing the direction of development of an industrial enterprise, which is based on an assessment of the level of development of that enterprise. An assessment of the level of corporate development is carried out using the method of fuzzy logic and the method of expert assessments. A nonlinear algorithm was used to find an integral indicator of the level of development of an industrial enterprise and choose a direction of development. The assessment process is digitalized and does not require special knowledge and skills of the corporate employees for its implementation. At the same time, it is possible to make adjustments to the indicators that determine the level of development of the industrial enterprise. An assessment of the level of development of an industrial enterprise is implemented in the original InfoLogicTools application in the MathCad simulation environment. Production tests of this application at existing industrial enterprises have allowed making some design changes to the application. The proposed methodology has a practical application. It allowed 3 Russian engineering plants to monitor their development. The monitoring results formed the basis for development activities. Further research is supposed to analyze and develop digitalization of the collection of information on the development of the enterprises.
One of the key issues of environmental geography and a cornerstone in the implementation of any country’s sustainable development strategy is to ensure proper environmental protection. The purpose of the study is to determine the environmental determinants of sustainable development of countries with taking into account the need to harmonize the economy, ecosystem and human well-being. The novelty of the study is the further development of scientific approaches to assessing the interrelation between EPI and the structural elements of the “green” economy. The results of EPI statistical analysis showed that less than 1/3 of 34 European countries improved the effectiveness of their environmental policy in 2020 compared to 2018. Strategic positioning on the matrix models allowed to identify unequal numbers of strategic groups of countries with differences in the values of environmental determinants of sustainable development. It is substantiated that environment affect people’s life expectancy. Currently, the lowest value of healthy life expectancy is in Ukraine compared to other European countries. It is established that the unevenness in the dynamism of business in Europe is insignificant. However, the efficiency of the use of natural resources in the process of production and consumption, unfortunately, is not the same. The average share of renewable energy consumption in the sample of European countries is 23.5%. It is shown that a high share of renewable energy consumption does not guarantee a high level of environmental efficiency. However, this can be seen as an option to address the country’s energy security. It is proposed to combine the ecological determinants of sustainable development of the country into 4 groups: environmental protection; structural restructuring of the economy; resource efficiency and biodiversity; well-being and health of the population. It is concluded that positive changes in only one environmental determinant does not guarantee an increase in the level of environmental efficiency of the country (especially in the short term).
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