Design of a collaborative network for mapping digital skills for Industry 5.0

Platform — AEGIS Smart Specialization, Publications

Design of a collaborative network for mapping digital skills for Industry 5.0

Design of a collaborative network for mapping digital skills for Industry 5.0
Maria Gustavsson, Oliviu Matei, Laura Andreica, Agneta Halvarsson Lundkvist, Daniel Persson Thunqvist

Abstract. The transition to Industry 5.0 brings new demands for the workforce, where human-centric values, sustainability and resilience are combined with advanced digital technologies. This paper proposes the design of a collaborative network aimed at mapping the digital skills required for Industry 5.0. Drawing on the perspectives of academia, industry partners and public authorities, the work introduces a framework that enables the systematic identification, assessment and continuous updating of digital competencies. The proposed collaborative network provides the basis for shared learning paths, joint educational programmes and the alignment of training offers with the actual needs of organisations operating in the Industry 5.0 paradigm.

Keywords: collaborative networks; Industry 5.0; digital skills; competence mapping; human-centric manufacturing

📋 Cite this publication



Maria Gustavsson, Oliviu Matei, Laura Andreica, Agneta Halvarsson Lundkvist, Daniel Persson Thunqvist, "Design of a collaborative network for mapping digital skills for Industry 5.0", PRO-VE 2024 – 25th IFIP Working Conference on Virtual Enterprises, 2024, 2023.


Reference: PRO-VE 2024 – 25th IFIP Working Conference on Virtual Enterprises, 2024.

Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

The generalized traveling salesman problem (GTSP) is an extension of the classical traveling salesman
problem (TSP), and it is among the most researched combinatorial optimization problems due to its theoretical properties, complexity aspects, and real-life applications in various areas: location-routing problems, material flow design problem, distribution of medical supplies, urban waste collection management, airport selection and routing the courier airplanes, image retrieval and ranking, digital garment manufacturing, etc.

read more
Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation

Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation

,

The generalized traveling salesman problem (GTSP) is an extension of the classical traveling salesman
problem (TSP), and it is among the most researched combinatorial optimization problems due to its theoretical properties, complexity aspects, and real-life applications in various areas: location-routing problems, material flow design problem, distribution of medical supplies, urban waste collection management, airport selection and routing the courier airplanes, image retrieval and ranking, digital garment manufacturing, etc.

read more

Other publications

0 Comments