Integrating Energy and Time Efficiency in Robotic Manufacturing Cell Design: A Methodology for Optimizing Workplace Layout
The efficient and sustainable design of robotic manufacturing cells is a critical aspect of modern industrial processes, for which energy and time efficiency play significant roles in achieving sustainability goals. In industrial practice, robotic cell design often involves methods such as predefine...
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MDPI AG
2025-01-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/13/1/38 |
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| author | Roman Ruzarovsky Tibor Horak Robert Bocak Martin Csekei Roman Zelník |
| author_facet | Roman Ruzarovsky Tibor Horak Robert Bocak Martin Csekei Roman Zelník |
| author_sort | Roman Ruzarovsky |
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| description | The efficient and sustainable design of robotic manufacturing cells is a critical aspect of modern industrial processes, for which energy and time efficiency play significant roles in achieving sustainability goals. In industrial practice, robotic cell design often involves methods such as predefined layout templates, empirical rules for positioning, and simulation-based validation. While these approaches provide a practical starting point, they may not fully account for the complex interdependencies between robot configuration, energy consumption, and operational efficiency. Consequently, opportunities for optimizing resource usage are frequently overlooked. This paper presents a novel methodology for optimizing the deployment of industrial robots and their peripherals, focusing on minimizing energy and time costs to enhance the sustainability of industrial processes. The proposed approach, grounded in experimental measurements and simulations, was validated through an experimental model of a welding robot station. The methodology integrates the analysis of the relationship between the robot base position, trajectory, and energy consumption. The results indicate that adjusting the relative positions of robots and work points can achieve energy savings of approximately six percent. Specifically, optimization reduced energy consumption by 1.6731 Wh per work cycle, translating to an annual savings of 0.8794 MWh for a 60 s clock cycle. These findings highlight the practical applicability of the proposed methodology, demonstrating its potential to significantly improve the energy and time efficiency of robotic workplaces. |
| format | Article |
| id | doaj-art-c4ff2ef14ffd4253ac293f2f49cf044f |
| institution | Kabale University |
| issn | 2075-1702 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
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| series | Machines |
| spelling | doaj-art-c4ff2ef14ffd4253ac293f2f49cf044f2025-01-24T13:39:13ZengMDPI AGMachines2075-17022025-01-011313810.3390/machines13010038Integrating Energy and Time Efficiency in Robotic Manufacturing Cell Design: A Methodology for Optimizing Workplace LayoutRoman Ruzarovsky0Tibor Horak1Robert Bocak2Martin Csekei3Roman Zelník4Institute of Manufacturing Technologies, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, 91724 Trnava, SlovakiaInstitute of Applied Informatics, Automation and Mechatronics, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, 91724 Trnava, SlovakiaInstitute of Manufacturing Technologies, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, 91724 Trnava, SlovakiaInstitute of Manufacturing Technologies, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, 91724 Trnava, SlovakiaInstitute of Manufacturing Technologies, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, 91724 Trnava, SlovakiaThe efficient and sustainable design of robotic manufacturing cells is a critical aspect of modern industrial processes, for which energy and time efficiency play significant roles in achieving sustainability goals. In industrial practice, robotic cell design often involves methods such as predefined layout templates, empirical rules for positioning, and simulation-based validation. While these approaches provide a practical starting point, they may not fully account for the complex interdependencies between robot configuration, energy consumption, and operational efficiency. Consequently, opportunities for optimizing resource usage are frequently overlooked. This paper presents a novel methodology for optimizing the deployment of industrial robots and their peripherals, focusing on minimizing energy and time costs to enhance the sustainability of industrial processes. The proposed approach, grounded in experimental measurements and simulations, was validated through an experimental model of a welding robot station. The methodology integrates the analysis of the relationship between the robot base position, trajectory, and energy consumption. The results indicate that adjusting the relative positions of robots and work points can achieve energy savings of approximately six percent. Specifically, optimization reduced energy consumption by 1.6731 Wh per work cycle, translating to an annual savings of 0.8794 MWh for a 60 s clock cycle. These findings highlight the practical applicability of the proposed methodology, demonstrating its potential to significantly improve the energy and time efficiency of robotic workplaces.https://www.mdpi.com/2075-1702/13/1/38energy consumptionindustrial robotmethodologyoptimizationworkplace layout |
| spellingShingle | Roman Ruzarovsky Tibor Horak Robert Bocak Martin Csekei Roman Zelník Integrating Energy and Time Efficiency in Robotic Manufacturing Cell Design: A Methodology for Optimizing Workplace Layout Machines energy consumption industrial robot methodology optimization workplace layout |
| title | Integrating Energy and Time Efficiency in Robotic Manufacturing Cell Design: A Methodology for Optimizing Workplace Layout |
| title_full | Integrating Energy and Time Efficiency in Robotic Manufacturing Cell Design: A Methodology for Optimizing Workplace Layout |
| title_fullStr | Integrating Energy and Time Efficiency in Robotic Manufacturing Cell Design: A Methodology for Optimizing Workplace Layout |
| title_full_unstemmed | Integrating Energy and Time Efficiency in Robotic Manufacturing Cell Design: A Methodology for Optimizing Workplace Layout |
| title_short | Integrating Energy and Time Efficiency in Robotic Manufacturing Cell Design: A Methodology for Optimizing Workplace Layout |
| title_sort | integrating energy and time efficiency in robotic manufacturing cell design a methodology for optimizing workplace layout |
| topic | energy consumption industrial robot methodology optimization workplace layout |
| url | https://www.mdpi.com/2075-1702/13/1/38 |
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