In manufacturing systems, field operators represent a key bottleneck for operational efficiency to secure production systems' productivity, quality, and resilience. Through their direct engagement with production resources, they obtain a genuine understanding of the course operations on the manufacturing floor. The effective leverage of this knowledge within a digital framework that embraces human intelligence is a crucial value for the emerging Industry 5.0. In this article, we envision the integration of intelligent Decision Support Systems (DSS) for empowering Blue-collar workers in production facilities. The paper makes a theoretical discussion about the role of digitalization in improving field operators' awareness of Production Planning and Maintenance. Moreover, we propose a software architecture for a DSS-enabled digital twin for empowering field operators in production decisions.

Empowering Field Operators in Manufacturing: a Prospective Towards Industry 5.0

Elbasheer, Mohaiad;Longo, Francesco
;
Nicoletti, Letizia;Padovano, Antonio
2023-01-01

Abstract

In manufacturing systems, field operators represent a key bottleneck for operational efficiency to secure production systems' productivity, quality, and resilience. Through their direct engagement with production resources, they obtain a genuine understanding of the course operations on the manufacturing floor. The effective leverage of this knowledge within a digital framework that embraces human intelligence is a crucial value for the emerging Industry 5.0. In this article, we envision the integration of intelligent Decision Support Systems (DSS) for empowering Blue-collar workers in production facilities. The paper makes a theoretical discussion about the role of digitalization in improving field operators' awareness of Production Planning and Maintenance. Moreover, we propose a software architecture for a DSS-enabled digital twin for empowering field operators in production decisions.
2023
Digital Twin
Industry 5.0
Situational Awareness
Production Planning
Maintenance
Field Workers
Operator 4.0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/350317
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