Cyber-Physical Production Systems (CPPS) are promised to be the systems that will drive technical transformation in manufacturing in the context of Industry 4.0. However, the role of human operators is still decisive due to the intrinsic human flexibility to analyze, learn and face unpredicted circumstances, forcing to an approach based on fully collaborative environments between humans and machines. However, a validated and repeatable method to evaluate and monitor these interactions and the general performance metrics of the system is still missing. This paper introduces a new holistic method based on a model to set indices and metrics to assess the performance-based interactions while considering the collaborative nature of the actions under different dimensions: i) operator and user experience aspects, ii) machine specific indicators, iii) human-machine collaboration, and iv) production indicators. Finally, a collaborative industrial case is exposed to exemplify the use of the proposed method.

Assessment of performance-based interactions in collaborative CPPS

Jose Antonio Mulet Alberola;Irene Fassi
2022

Abstract

Cyber-Physical Production Systems (CPPS) are promised to be the systems that will drive technical transformation in manufacturing in the context of Industry 4.0. However, the role of human operators is still decisive due to the intrinsic human flexibility to analyze, learn and face unpredicted circumstances, forcing to an approach based on fully collaborative environments between humans and machines. However, a validated and repeatable method to evaluate and monitor these interactions and the general performance metrics of the system is still missing. This paper introduces a new holistic method based on a model to set indices and metrics to assess the performance-based interactions while considering the collaborative nature of the actions under different dimensions: i) operator and user experience aspects, ii) machine specific indicators, iii) human-machine collaboration, and iv) production indicators. Finally, a collaborative industrial case is exposed to exemplify the use of the proposed method.
2022
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
Inglese
International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021)
17/11/2021
CPPS
Collaborative Systems
Human-machine interactions
Human-centered design
KPI
2
none
MULET ALBEROLA, JOSE ANTONIO; Fassi, Irene
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   Digital Manufacturing and Design Training Network
   DiManD
   H2020
   814078
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/400047
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