- Menu
INESC TEC and Porto Business School brought together around 200 experts from more than 20 countries to Portugal to discuss the challenges of sustainability in operations management and supply chains. The 13th edition of the EurOMA (Sustainable Operations and Supply Chains Forum) focused on the importance of regenerative approaches and on the concept of “polycrisis”, characterised by the intensification and overlap of global crises.
24th March 2026
It is possible to eat more healthily while significantly reducing the environmental impact of our diet. That is the main conclusion of a study led by researchers from INESC TEC, the GreenUPorto - the Sustainable Agrifood Production Research Centre of the University of Porto – and the Laboratory for Process Engineering, Environment, Biotechnology and Energy (LEPABE / ALiCE). The study analysed the dietary patterns of the Portuguese population and showed that the most sustainable diets generated up to 33% fewer carbon emissions, used 36% less water and required around 50% less land than the least sustainable diets, while also achieving 87% higher nutritional quality.
27th February 2026
HumanAI4PM — Gestão da Produção suportada por Inteligência Artificial Centrada nas Pessoas
2026-2028
Multi-Symbiotic InterOperable Model for AI-optimized sustainable Wastewater Treatment Plant
2026-2028
Bolsa de horas para apoio técnico na transferência de tecnologia do software de gestão da linha NDTech
2026-2026
Quantum computing optimization for container loading problems: a new frontier in logistics optimization
2025-2027
Inovação, gestão e sustentabilidade na fileira da maçã desperdiçada – Valorização de produtos relacionados e subprodutos
2025-2028
Cercas Virtuais Dinâmicas - Controlo e monitorização remota de pastorício em regime livre através de sistema de orientação de animais não intrusivo
2025-2028
Melhorar a investigação das causas das ignições de incêndios rurais para informar soluções de gestão eficazes
2025-2028
BIOProducts FABrication Support - BIOFAB+ - Support the R&D technical proposal writing - Holland BioProducts’ New Factory in Portugal
2025-2026
Avaliação de Maturidade e Roadmap Estratégico para a Implementação de Gestão OT
2025-2026
Apoio técnico para diagnóstico e definição de ações corretivas ao nível da integração MES/Automação
2024-2026
Plataforma Rastreabilidade Produto para infraestrutura TestBed de sustentabilidade
2024-2026
Programa de Formação Avançada Economia Circular e Sustentabilidade - 4a edição
2024-2024
Research Assistant
External Student
External Research Collaborator
Research Assistant
External Student
Senior Researcher
External Research Collaborator
Assistant Researcher
Research Coordinator
Senior Researcher
External Research Collaborator
Research Coordinator
Senior Researcher
Research Assistant
Research Assistant
External Research Collaborator
Research Assistant
External Research Collaborator
Research Assistant
External Research Collaborator
Researcher
External Administrative and Technical Staff
Research Assistant
Research Assistant
Research Assistant
External Research Collaborator
Research Assistant
Senior Researcher
Researcher
Assistant Researcher
External Student
External Student
External Research Collaborator
External Research Collaborator
External Student
Area Manager
Research Assistant
Senior Researcher
SYSTEM Publications
2026
Authors
Freitas, F; Zimmermann, R; Freires, G; Couto, F; Fontes, C; Soares, AL; Dalmarco, G; Rhodes, D; Gomes, J;
Publication
HYBRID HUMAN-AI COLLABORATIVE NETWORKS, PRO-VE 2025, PT I
Abstract
The integration of AI in supply chains offers opportunities to enhance efficiency, sustainability, and decision-making. However, effective implementation requires attention to both technical and socio-technical aspects. This study examines AI maturity in the pulp and paper sector using the SC-STAI profiling tool, assessing AI integration across technical, social, human, and organizational domains. Based on nine case studies from Brazil and Portugal, the research identifies key areas for improvement and highlights uneven AI adoption. Findings show that performance and resilience are most impacted, while job role adoption remains the lowest. The study emphasizes the importance of Socio-Technical AI Maturity Models in guiding responsible AI adoption and improving socio-technical alignment in supply chains, contributing to a better understanding of AI readiness in traditional industries and demonstrating the SC-STAI tool's applicability for strategic AI planning.
2026
Authors
Silva, RR; Silva, HD; Soares, AL;
Publication
HYBRID HUMAN-AI COLLABORATIVE NETWORKS, PRO-VE 2025, PT II
Abstract
As organizations navigate through complex and collaborative digital environments, Generative AI (GenAI) emerges as a transformative force for Knowledge Management (KM) processes. This paper highlights how GenAI technologies impact collaborative KM processes across individual, intraorganizational, and inter-organizational levels within the evolving paradigm of Industry 5.0 (i5.0). Through a literature review, the study explores how GenAI augments human cognition, enhances knowledge creation and sharing, and fosters organizational adaptability and innovation. The findings highlight GenAI's potential as cognitive partner, streamlining information flows, and improving decision-making across collaborative networks. However, challenges such as over-reliance, ethical risks, and the decline of critical human skills are also discussed. Furthermore, the paper identifies the evolution and gaps in current literature on Collaborative Networks (CNs) regarding the integration of AI technologies. It contributes to the ongoing discussion towards a socio-technical transformation while also providing an overview for rethinking collaboration and social strategies in the GenAI era.
2026
Authors
Sousa, J; Oliveira, F; Carneiro, D; Soares, A; Silva, B;
Publication
HYBRID HUMAN-AI COLLABORATIVE NETWORKS, PRO-VE 2025, PT II
Abstract
The integration of AI into organizational settings leads to a growing need for hybrid human-AI collaborative approaches, necessary due to the increasing autonomy, impact and responsibility AI-based solutions have. Moreover, to ensure a sustainable integration into existing processes, such approaches must be context-aware, transparent, and human-centric. In line with the Industry 5.0 paradigm, this paper presents a novel Multi-Agent System architecture that enables meaningful collaboration between human and artificial agents through a socio-technical design approach. The proposed architecture is grounded in a structured, real-time context stream derived from organizational data sources, which semantically describe human actors, processes, and industrial resources. Central to this system is a set of four core LLM-based agents, each responsible for orchestrating hybrid human-AI tasks along distinct dimensions of timing, role selection, resource allocation, and execution sequencing. To assess the feasibility and effectiveness of the architecture, we report on an early-stage validation conducted within a representative industrial use case in the automotive sector, focused on information retrieval. In this use case, the architecture was tasked with answering a set of representative, domain-specific questions by dynamically interacting with distributed industrial databases. Results demonstrate the architecture's ability to coordinate relevant human and artificial agents, retrieve semantically-relevant data, and present explainable outputs, showcasing its potential for supporting decision-making processes in hybrid collaborative networks.
2026
Authors
Couto, F; Malta, MC; Soares, AL;
Publication
HYBRID HUMAN-AI COLLABORATIVE NETWORKS, PRO-VE 2025, PT I
Abstract
Artificial Intelligence (AI) integration in supply chain systems is growing, and with it grows its potential impact on inter-organisational collaborative networks. We review existing literature on how different AI archetypes (Reflexive, Anticipatory, Supervisory, Prescriptive) could support Collaborative Supply Chain Management (CSCM) activities, and how they impact information sharing, collaborative decision-making, and trust among supply chain partners at different integration levels. Adopting a sociotechnical perspective, we synthesise existing literature and map the archetypes along four levels of AI integration, varying in scope and decision autonomy. The results are conceptual frameworks demonstrating how AI impacts collaboration dynamics as it evolves from a decision-support tool to an autonomous coordination agent. Findings show differentiated effects along archetypes and integration levels, with implications for CSCM governance, transparency, and resilience. We contribute to the discussion on human-AI collaboration in CSCM and offer a baseline for research on the human-centric values of Industry 5.0.
2026
Authors
Camarinha-Matos, LM; Ortiz, A; Boucher, X; Lucas Soares, A;
Publication
IFIP Advances in Information and Communication Technology
Abstract
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.