Adaptive automation assembly: Identifying system requirements for technical efficiency and worker satisfaction

Fletcher, Sarah; Johnson, Teegan L.; Adlon, Tobias; Larreina, Jon; Casla, Patricia; Parigot, Laure; Alfaro, Pedro J.; Otero, María del Mar

doi:10.1016/j.cie.2019.03.036

Cited by 62 publications

(38 citation statements)

References 11 publications

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“…La industria moderna tiene como reto principal integrar las necesidades de los clientes con las distintas tecnologías de automatización utilizadas en los procesos industriales (Acharya et al, 2018); estas tecnologías permiten contar con sistemas efectivos, robustos, y autónomos de las tareas que se ejecutan en los procesos internos de las industrias. Los ciclos de producción actual se caracterizan principalmente por su ejecución eficiente con incrementos exponenciales de producción, y por la competencia que estos generan en las organizaciones; situación que ayuda a identificar la importancia de los procesos implementados en las industrias y cómo deben responder a las demandas del mercado y la efectividad que exige el entorno, siempre conservando como premisa principal el balance costo-beneficio de la solución en el entorno industrial de los proyectos (Fletcher et al, 2019).…”

Section: Introductionunclassified

Influencia de la Ingeniería de Software en los Procesos de Automatización Industrial

et al. 2019

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The topic dealt with in the document mainly covers the influence of service-oriented architecture and how services are orchestrated among themselves for the development of more robust and dynamic applications aimed at solving problems presented in the design of industrial automation systems. Currently, industries are compelling to use new systems that support the dynamics that organizations face. However, the current systems of companies lack this dynamism, which often makes it impossible to implement new functionalities to the processes of autonomous production, due to the lack of flexibility and agility to respond to the dynamics of production styles that are experienced today. Software engineering contributes to the dynamics in the area of industrial automation, highlighting significant improvements in the configuration of systems implemented in the field of industrial automation.

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Section: Introductionunclassified

Influencia de la Ingeniería de Software en los Procesos de Automatización Industrial

et al. 2019

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“…As mentioned previously, this definition of requirements was tripartite, including workers, researchers and company's practitioners. However, Fletcher et al [38] state that the current problem is the inexistence of a standard valid framework and further research is required to define a design framework for the future human-robot assembly systems. Figure 11 summarizes this ergonomic study and could be a guide to future works focused on the design of assembly workstation with COBOT, integrating ergonomic requirements.…”

Section: Definition Of the Ergonomic Requirements And Future Workmentioning

confidence: 99%

“…Figure 11 summarizes this ergonomic study and could be a guide to future works focused on the design of assembly workstation with COBOT, integrating ergonomic requirements. manual work and the design of the system should be oriented by an adaptive utilization of human capabilities, foreseeing the improvement of productivity and workers' wellbeing [38]. The hybrid team composed by humans and robot will support the demographic diversity of workers, as well as their physical limitations, where robots help or take over the most demanding physical tasks.…”

Section: Definition Of the Ergonomic Requirements And Future Workmentioning

confidence: 99%

Towards an Ergonomic Assessment Framework for Industrial Assembly Workstations—A Case Study

Colim¹,

Faria²,

Braga

et al. 2020

Applied Sciences

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Work-related musculoskeletal disorders (WMSD) are one of the main occupational health problems. The best strategy to prevent them lies on ergonomic interventions. The variety of industrial processes and environments, however, makes it difficult to define an all-purpose framework to guide these ergonomic interventions. This undefinition is exacerbated by recurrent introduction of new technologies, e.g., collaborative robots. In this paper, we propose a framework to guide ergonomics and human factors practitioners through all stages of assessment and redesign of workstations. This framework was applied in a case study at an assembly workstation of a large furniture enterprise. Direct observation of work activity and questionnaires were applied to characterize the workstations, the process, and the workers’ profiles and perceptions. An ergonomic multi-method approach, based on well-known and validated methods (such as the Finnish Institute of Occupational Health and Rapid Upper Limb Assessment), was applied to identify the most critical risk factors. We concluded that this approach supports the process redesign and tasks’ allocation of the future workstation. From these conclusions, we distill a list of requirements for the creation of a collaborative robot cell, specifying which tasks are performed by whom, as well as the scheduling of the human-robot collaboration (HRC).

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“…Cyber-physical systems are one of the fundamental pillars of Industry 4.0 [10,15,16]. According to the National Institute of Standards and Technology (NIST), cyber-physical systems are intelligent systems, including interactive networks, designed of physical and computational components.…”

Section: Human Cyber-physical Production Systemsmentioning

confidence: 99%

New Trends in the Use of Artificial Intelligence for the Industry 4.0

Osornio-Ríos¹,

Martínez²

2020

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Human cyber-physical systems (CPS) are an important component in the development of Industry 4.0. The paradigm shift of doing to thinking has allowed the emergence of cognition as a new perspective for intelligent systems. Currently, different platforms offer several cognitive solutions. Within this space, user assistance systems become increasingly necessary not as a tool but as a function that amplifies the capabilities of the operator in the work environment. There exist different perspectives of cognition. In this study cognition is introduced from the point of view of joint cognitive systems (JCSs); the synergistic combination of different technologies such as artificial intelligence (AI), the Internet of Things (IoT) and multi-agent systems (MAS) allows the operator and the process to provide the necessary conditions to do their work effectively and efficiently.

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Adaptive automation assembly: Identifying system requirements for technical efficiency and worker satisfaction

Cited by 62 publications

References 11 publications

Influencia de la Ingeniería de Software en los Procesos de Automatización Industrial

Influencia de la Ingeniería de Software en los Procesos de Automatización Industrial

Towards an Ergonomic Assessment Framework for Industrial Assembly Workstations—A Case Study

New Trends in the Use of Artificial Intelligence for the Industry 4.0

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