Application of Mathematics for Modeling Industrial Innovative Systems and Processes
This reprint contains a total of 10 articles accepted and published in the Special Issue “Application of Mathematics for Modeling Industrial Innovative Systems and Processes” of the MDPI Mathematics journal. This Special Issue covers a wide range of topics in the field of innovative development proc...
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| Format: | Online |
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| Idioma: | anglès |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Accés en línia: | ONIX_20240514_9783725807376_457 |
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| collection | Directory of Open Access Books |
| description | This reprint contains a total of 10 articles accepted and published in the Special Issue “Application of Mathematics for Modeling Industrial Innovative Systems and Processes” of the MDPI Mathematics journal. This Special Issue covers a wide range of topics in the field of innovative development processes and mathematical modeling in industry. It focuses on the formalization of continuous and discrete systems, cyclical development study, and achieving global optimum production efficiency in the context of the triple helix of interactions. Additionally, this Special Issue explores the study of development traps, similarity and difference assessment applied to the functioning of innovative systems in different countries, regions, and types of economic activity based on the use of modern mathematical methods of data processing and visualization. It reveals latent patterns, including the use of computer analysis. This reprint aims to be both interesting and useful to those who work in the field of modeling industrial and innovative systems and processes, modeling cyclic processes, mathematical risk assessment, and dynamic supply chain models. This reprint may also be of interest to those who are curious about the latest achievements in queuing theory, methods of multidimensional statistical analysis, which serve as an effective tool for making management decisions, and unlocking the hidden potential of management objects. |
| format | Online |
| id | doab-20.500.12854ir-137861 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1378612024-05-14T14:45:00Z Application of Mathematics for Modeling Industrial Innovative Systems and Processes Shinkevich, Aleksey I. sustainable development innovative mesosystems manufacturing profitability environmental innovations decision trees integral indicator of sustainable development industry factor analysis discriminant analysis forecasting modeling DFD (Data Flow Diagram) distribution function integral transformation core granulation growth rate abrasion fluidized bed dispersed composition agglomeration particle crushing Whittaker function confluent hypergeometric series Whittaker distribution generalized Whittaker distribution multi-criteria selection problem additive global criterion multivariate statistical analysis criteria convolution criteria vectors industrial zones chemical production 5G network planning k-means clustering algorithm “shamrock” shaped coverage area secondary clustering single-objective nonlinear optimization model innovative industrial system extractive industry manufacturing industry efficiency neural networks radial basis functions (RBF) multilayer perceptron (MLP) shear cutting thermomechanical model ductile fracture Johnson–Cook model selective laser sintering random forest support vector machine artificial neural network oversampling method productivity and efficiency of economic systems mass service theory resource supply complex networks optimization organizational structure thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics This reprint contains a total of 10 articles accepted and published in the Special Issue “Application of Mathematics for Modeling Industrial Innovative Systems and Processes” of the MDPI Mathematics journal. This Special Issue covers a wide range of topics in the field of innovative development processes and mathematical modeling in industry. It focuses on the formalization of continuous and discrete systems, cyclical development study, and achieving global optimum production efficiency in the context of the triple helix of interactions. Additionally, this Special Issue explores the study of development traps, similarity and difference assessment applied to the functioning of innovative systems in different countries, regions, and types of economic activity based on the use of modern mathematical methods of data processing and visualization. It reveals latent patterns, including the use of computer analysis. This reprint aims to be both interesting and useful to those who work in the field of modeling industrial and innovative systems and processes, modeling cyclic processes, mathematical risk assessment, and dynamic supply chain models. This reprint may also be of interest to those who are curious about the latest achievements in queuing theory, methods of multidimensional statistical analysis, which serve as an effective tool for making management decisions, and unlocking the hidden potential of management objects. 2024-05-14T14:44:56Z 2024-05-14T14:44:56Z 2024 book ONIX_20240514_9783725807376_457 9783725807376 9783725807383 https://directory.doabooks.org/handle/20.500.12854/137861 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9101 https://mdpi.com/books/pdfview/book/9101 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0738-3 10.3390/books978-3-7258-0738-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725807376 9783725807383 206 open access |
| spellingShingle | sustainable development innovative mesosystems manufacturing profitability environmental innovations decision trees integral indicator of sustainable development industry factor analysis discriminant analysis forecasting modeling DFD (Data Flow Diagram) distribution function integral transformation core granulation growth rate abrasion fluidized bed dispersed composition agglomeration particle crushing Whittaker function confluent hypergeometric series Whittaker distribution generalized Whittaker distribution multi-criteria selection problem additive global criterion multivariate statistical analysis criteria convolution criteria vectors industrial zones chemical production 5G network planning k-means clustering algorithm “shamrock” shaped coverage area secondary clustering single-objective nonlinear optimization model innovative industrial system extractive industry manufacturing industry efficiency neural networks radial basis functions (RBF) multilayer perceptron (MLP) shear cutting thermomechanical model ductile fracture Johnson–Cook model selective laser sintering random forest support vector machine artificial neural network oversampling method productivity and efficiency of economic systems mass service theory resource supply complex networks optimization organizational structure thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Application of Mathematics for Modeling Industrial Innovative Systems and Processes |
| title | Application of Mathematics for Modeling Industrial Innovative Systems and Processes |
| title_full | Application of Mathematics for Modeling Industrial Innovative Systems and Processes |
| title_fullStr | Application of Mathematics for Modeling Industrial Innovative Systems and Processes |
| title_full_unstemmed | Application of Mathematics for Modeling Industrial Innovative Systems and Processes |
| title_short | Application of Mathematics for Modeling Industrial Innovative Systems and Processes |
| title_sort | application of mathematics for modeling industrial innovative systems and processes |
| topic | sustainable development innovative mesosystems manufacturing profitability environmental innovations decision trees integral indicator of sustainable development industry factor analysis discriminant analysis forecasting modeling DFD (Data Flow Diagram) distribution function integral transformation core granulation growth rate abrasion fluidized bed dispersed composition agglomeration particle crushing Whittaker function confluent hypergeometric series Whittaker distribution generalized Whittaker distribution multi-criteria selection problem additive global criterion multivariate statistical analysis criteria convolution criteria vectors industrial zones chemical production 5G network planning k-means clustering algorithm “shamrock” shaped coverage area secondary clustering single-objective nonlinear optimization model innovative industrial system extractive industry manufacturing industry efficiency neural networks radial basis functions (RBF) multilayer perceptron (MLP) shear cutting thermomechanical model ductile fracture Johnson–Cook model selective laser sintering random forest support vector machine artificial neural network oversampling method productivity and efficiency of economic systems mass service theory resource supply complex networks optimization organizational structure thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| topic_facet | sustainable development innovative mesosystems manufacturing profitability environmental innovations decision trees integral indicator of sustainable development industry factor analysis discriminant analysis forecasting modeling DFD (Data Flow Diagram) distribution function integral transformation core granulation growth rate abrasion fluidized bed dispersed composition agglomeration particle crushing Whittaker function confluent hypergeometric series Whittaker distribution generalized Whittaker distribution multi-criteria selection problem additive global criterion multivariate statistical analysis criteria convolution criteria vectors industrial zones chemical production 5G network planning k-means clustering algorithm “shamrock” shaped coverage area secondary clustering single-objective nonlinear optimization model innovative industrial system extractive industry manufacturing industry efficiency neural networks radial basis functions (RBF) multilayer perceptron (MLP) shear cutting thermomechanical model ductile fracture Johnson–Cook model selective laser sintering random forest support vector machine artificial neural network oversampling method productivity and efficiency of economic systems mass service theory resource supply complex networks optimization organizational structure thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| url | ONIX_20240514_9783725807376_457 |