Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling
Human-Robot Collaboration (HRC) systems are often implemented seeking for reducing risk of Work-related Musculoskeletal Disorders (WMSD) development and increasing productivity. The challenge is to successfully implement an industrial HRC to manage those factors, considering that non-linear behavior...
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MDPI AG
2021-10-01
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Series: | Safety |
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Online Access: | https://www.mdpi.com/2313-576X/7/4/75 |
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author | Guilherme Deola Borges Angélica Muffato Reis Rafael Ariente Neto Diego Luiz de Mattos André Cardoso Hatice Gonçalves Eugenio Merino Ana Colim Paula Carneiro Pedro Arezes |
author_facet | Guilherme Deola Borges Angélica Muffato Reis Rafael Ariente Neto Diego Luiz de Mattos André Cardoso Hatice Gonçalves Eugenio Merino Ana Colim Paula Carneiro Pedro Arezes |
author_sort | Guilherme Deola Borges |
collection | DOAJ |
description | Human-Robot Collaboration (HRC) systems are often implemented seeking for reducing risk of Work-related Musculoskeletal Disorders (WMSD) development and increasing productivity. The challenge is to successfully implement an industrial HRC to manage those factors, considering that non-linear behaviors of complex systems can produce counterintuitive effects. Therefore, the aim of this study was to design a decision-making framework considering the key ergonomic methods and using a computational model for simulations. It considered the main systemic influences when implementing a collaborative robot (cobot) into a production system and simulated scenarios of productivity and WMSD risk. In order to verify whether the computational model for simulating scenarios would be useful in the framework, a case study in a manual assembly workstation was conducted. The results show that both cycle time and WMSD risk depend on the Level of Collaboration (LoC). The proposed framework helps deciding which cobot to implement in a context of industrial assembly process. System dynamics were used to understand the actual behavior of all factors and to predict scenarios. Finally, the framework presented a clear roadmap for the future development of an industrial HRC system, drastically reducing risk management in decision-making. |
first_indexed | 2024-03-10T03:11:03Z |
format | Article |
id | doaj.art-dbec25e12aa5453592baa64b9ade8044 |
institution | Directory Open Access Journal |
issn | 2313-576X |
language | English |
last_indexed | 2024-03-10T03:11:03Z |
publishDate | 2021-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Safety |
spelling | doaj.art-dbec25e12aa5453592baa64b9ade80442023-11-23T10:27:09ZengMDPI AGSafety2313-576X2021-10-01747510.3390/safety7040075Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics ModelingGuilherme Deola Borges0Angélica Muffato Reis1Rafael Ariente Neto2Diego Luiz de Mattos3André Cardoso4Hatice Gonçalves5Eugenio Merino6Ana Colim7Paula Carneiro8Pedro Arezes9ALGORITMI Research Centre, School of Engineering, University of Minho, 4800-058 Guimarães, PortugalALGORITMI Research Centre, School of Engineering, University of Minho, 4800-058 Guimarães, PortugalDesign Management Center (NGD), Design and Usability Laboratory (LDU), Production Engineering Department, Federal University of Santa Catarina, Florianópolis 88040-535, BrazilALGORITMI Research Centre, School of Engineering, University of Minho, 4800-058 Guimarães, PortugalALGORITMI Research Centre, School of Engineering, University of Minho, 4800-058 Guimarães, PortugalALGORITMI Research Centre, School of Engineering, University of Minho, 4800-058 Guimarães, PortugalDesign Management Center (NGD), Design and Usability Laboratory (LDU), Production Engineering Department, Federal University of Santa Catarina, Florianópolis 88040-535, BrazilALGORITMI Research Centre, School of Engineering, University of Minho, 4800-058 Guimarães, PortugalALGORITMI Research Centre, School of Engineering, University of Minho, 4800-058 Guimarães, PortugalALGORITMI Research Centre, School of Engineering, University of Minho, 4800-058 Guimarães, PortugalHuman-Robot Collaboration (HRC) systems are often implemented seeking for reducing risk of Work-related Musculoskeletal Disorders (WMSD) development and increasing productivity. The challenge is to successfully implement an industrial HRC to manage those factors, considering that non-linear behaviors of complex systems can produce counterintuitive effects. Therefore, the aim of this study was to design a decision-making framework considering the key ergonomic methods and using a computational model for simulations. It considered the main systemic influences when implementing a collaborative robot (cobot) into a production system and simulated scenarios of productivity and WMSD risk. In order to verify whether the computational model for simulating scenarios would be useful in the framework, a case study in a manual assembly workstation was conducted. The results show that both cycle time and WMSD risk depend on the Level of Collaboration (LoC). The proposed framework helps deciding which cobot to implement in a context of industrial assembly process. System dynamics were used to understand the actual behavior of all factors and to predict scenarios. Finally, the framework presented a clear roadmap for the future development of an industrial HRC system, drastically reducing risk management in decision-making.https://www.mdpi.com/2313-576X/7/4/75Human-Robot collaborationsystem dynamicshuman factorsergonomicsframework |
spellingShingle | Guilherme Deola Borges Angélica Muffato Reis Rafael Ariente Neto Diego Luiz de Mattos André Cardoso Hatice Gonçalves Eugenio Merino Ana Colim Paula Carneiro Pedro Arezes Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling Safety Human-Robot collaboration system dynamics human factors ergonomics framework |
title | Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling |
title_full | Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling |
title_fullStr | Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling |
title_full_unstemmed | Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling |
title_short | Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling |
title_sort | decision making framework for implementing safer human robot collaboration workstations system dynamics modeling |
topic | Human-Robot collaboration system dynamics human factors ergonomics framework |
url | https://www.mdpi.com/2313-576X/7/4/75 |
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