Manufacturing Management Processes Integration Framework
This paper proposes a novel and comprehensive framework for the integration of manufacturing management processes, spanning strategic and operational levels, within and across organizational boundaries. The framework combines a robust set of technologies—such as cyber-physical systems, digital twins, AI, and blockchain—designed to support real-time decision-making, interoperability, and collaboration in Industry 4.0 and 5.0 contexts. Implemented and validated in a Portuguese manufacturing group comprising three interoperating factories, the framework demonstrated its ability to improve agility, coordination, and stakeholder integration through a multi-layered architecture and modular software platform. Quantitative and qualitative feedback from 32 participants confirmed enhanced decision support, operational responsiveness, and external collaboration. While tailored to a specific industrial setting, the results highlight the framework’s scalability and adaptability, positioning it as a meaningful contribution toward sustainable, human-centric digital transformation in manufacturing environments.
Authors
- Leonilde Varela (ORCID: https://orcid.org/0000-0002-2299-1859)
- José Machado (ORCID: https://orcid.org/0000-0002-4917-2474)
- Goran D. Putnik (ORCID: https://orcid.org/0000-0003-3378-6866)
- Teresa Dieguez (ORCID: https://orcid.org/0000-0002-4886-1446)
- Manuela Cruz-Cunha
- Filipe Pereira (ORCID: https://orcid.org/0000-0001-7809-5554)
- André S. Santos (ORCID: https://orcid.org/0000-0001-7172-4557)
- Miguel Ângelo Pereira (ORCID: https://orcid.org/0000-0003-4588-2628)
- Gaspar Vieira
- Nuno Leal
Institutions
- Technical University of Cluj-Napoca (RO)
- Universidade Politécnica do Cávado e do Ave (PT)
- Institute of Mechanical Engineering and Industrial Mangement (PT)
- Fundação Araucária (BR)
- Polytechnic Institute of Porto (PT)
- University of Minho (PT)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-08-20
- DOI
- https://doi.org/10.3390/app15169165
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00