Manufacturing Management Processes Integration Framework
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Manufacturing Process and Optimization · Flexible and Reconfigurable Manufacturing Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Algoritmi Research Center/LASI, University of Minho, 4800-058 Guimarães, Portugal
Campus do IPCA, Polytechnic Institute of Cavado and Ave, 4750-810 Barcelos, Portugal
2Ai—Applied Artificial Intelligence Laboratory, Campus do IPCA, 4750-810 Barcelos, Portugal
INESC TEC, Campus da FEUP, Polytechnic Institute of Porto, 4200-465 Porto, Portugal
MEtRICs Research Center, University of Minho, 4800-058 Guimarães, Portugal
INEGI—Institute of Science and Innovation in Mechanical and Industrial Engineering, Campus da FEUP, 4200-465 Porto, Portugal
Sonae Arauco, Quinta da Poça—S. Paio de Gramaços Apartado 73, 3400-691 Oliveira do Hospital, Portugal
CESTER, Technical University of Cluj-Napoca, Muncii Ave. 103-105, 400641 Cluj-Napoca, Romania
Funding
Republic’s Recovery and Resilience Plan (PRR) Partnership Agreement
References (70)
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