Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation
The current great expansion of automation and robotics affects a multiplicity of various fields. A prominent example is industry, where the different manufacturing processes and technologies embrace a certain level of automation and robotics. Thus, the use of robotics and automation implementation i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/7/3295 |
| _version_ | 1797538600821194752 |
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| author | Elena Grešová Jozef Svetlík |
| author_facet | Elena Grešová Jozef Svetlík |
| author_sort | Elena Grešová |
| collection | DOAJ |
| description | The current great expansion of automation and robotics affects a multiplicity of various fields. A prominent example is industry, where the different manufacturing processes and technologies embrace a certain level of automation and robotics. Thus, the use of robotics and automation implementation is part of a rapidly rising trend in industry. The presented paper deals with the manufacturing segment in the context of automation. The main subject is data analysis, with our own subsequent model building and final realization of the prediction corresponding to the machinery and electrical machinery sector as a highly relevant automation driver through the use of mathematical modeling. The design of the model is accompanied by optimization of the particular weights. Determination of the most suitable model is preceded by creating and testing a number of models to decide upon the final one. The construction of the mathematical model pursues the aim of making predictions relating to the machinery and electrical machinery sector for the specific national economy as the concluding investigation step. We apply a polynomial approximation as the research method. The software selected for our purposes is Matlab. |
| first_indexed | 2024-03-10T12:33:43Z |
| format | Article |
| id | doaj.art-47a29cd950a44fd4b8ec5b7fb088b20b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T12:33:43Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-47a29cd950a44fd4b8ec5b7fb088b20b2023-11-21T14:25:50ZengMDPI AGApplied Sciences2076-34172021-04-01117329510.3390/app11073295Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for AutomationElena Grešová0Jozef Svetlík1Institute of Control and Informatization of Production Processes, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Kosice, 04200 Kosice, SlovakiaDepartment of Manufacturing Machinery and Robotics, Faculty of Mechanical Engineering, Technical University of Kosice, 04200 Kosice, SlovakiaThe current great expansion of automation and robotics affects a multiplicity of various fields. A prominent example is industry, where the different manufacturing processes and technologies embrace a certain level of automation and robotics. Thus, the use of robotics and automation implementation is part of a rapidly rising trend in industry. The presented paper deals with the manufacturing segment in the context of automation. The main subject is data analysis, with our own subsequent model building and final realization of the prediction corresponding to the machinery and electrical machinery sector as a highly relevant automation driver through the use of mathematical modeling. The design of the model is accompanied by optimization of the particular weights. Determination of the most suitable model is preceded by creating and testing a number of models to decide upon the final one. The construction of the mathematical model pursues the aim of making predictions relating to the machinery and electrical machinery sector for the specific national economy as the concluding investigation step. We apply a polynomial approximation as the research method. The software selected for our purposes is Matlab.https://www.mdpi.com/2076-3417/11/7/3295automationCurve Fitting Tooldata analysismachinery and electrical machinerymanufacturing sectormathematical modeling |
| spellingShingle | Elena Grešová Jozef Svetlík Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation Applied Sciences automation Curve Fitting Tool data analysis machinery and electrical machinery manufacturing sector mathematical modeling |
| title | Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation |
| title_full | Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation |
| title_fullStr | Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation |
| title_full_unstemmed | Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation |
| title_short | Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation |
| title_sort | mathematical modeling of the manufacturing sector s dominant part as a base for automation |
| topic | automation Curve Fitting Tool data analysis machinery and electrical machinery manufacturing sector mathematical modeling |
| url | https://www.mdpi.com/2076-3417/11/7/3295 |
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