Assessment of performance-based interactions in collaborative CPPS
| Autor: | Jose Antonio Mulet Alberola, Irene Fassi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), 17/11/2021 info:cnr-pdr/source/autori:Jose Antonio Mulet Alberola, Irene Fassi/congresso_nome:International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021)/congresso_luogo:/congresso_data:17%2F11%2F2021/anno:2022/pagina_da:/pagina_a:/intervallo_pagine |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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