Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing, National Research Council, 70124 Bari, Italy.
Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing, National Research Council, 23900 Lecco, Italy.
Sensors (Basel). 2023 Jun 30;23(13):6054. doi: 10.3390/s23136054.
This work presents a digital-twin-based framework focused on orchestrating human-centered processes toward Industry 5.0. By including workers and their digital replicas in the loop of the digital twin, the proposed framework extends the traditional model of the factory's digital twin, which instead does not adequately consider the human component. The overall goal of the authors is to provide a reference architecture to manufacturing companies for a digital-twin-based platform that promotes harmonization and orchestration between humans and (physical and virtual) machines through the monitoring, simulation, and optimization of their interactions. In addition, the platform enhances the interactions of the stakeholders with the digital twin, considering that the latter cannot always be fully autonomous, and it can require human intervention. The paper also presents an implemented scenario adhering to the proposed framework's specifications, which is also validated with a real case study set in a factory plant that produces wooden furniture, thus demonstrating the validity of the overall proposed approach.
这项工作提出了一个基于数字孪生的框架，专注于协调以人为本的流程，迈向工业 5.0。通过将工人及其数字复制品纳入数字孪生的循环中，所提出的框架扩展了工厂数字孪生的传统模型，该模型没有充分考虑到人的因素。作者的总体目标是为制造公司提供一个基于数字孪生的平台的参考架构，该平台通过监测、模拟和优化人机交互，促进人与（物理和虚拟）机器之间的协调。此外，该平台还增强了利益相关者与数字孪生的交互，因为后者并不总是能够完全自主，并且可能需要人工干预。本文还介绍了一个符合所提出框架规范的实施场景，并通过一个木制家具工厂的实际案例研究进行了验证，从而证明了总体提出方法的有效性。
