Alexandra Lagorio

In the context of Industry 5.0, Human-Centric Manufacturing (HCM) emphasizes the role of workers, their well-being, and their interaction with advanced technologies, claiming for an update of workforce competencies across both operational and managerial levels. Current education systems remain inadequately equipped to foster the combination of technical, digital, and human-centered skills demanded by this transformation. Learning Factories (LFs) have emerged as effective environments for experiential and interdisciplinary manufacturing education, even if existing LF classification models are largely grounded in an Industry 4.0 perspective and fail to explicitly incorporate human-centric dimensions, such as human–technology interaction and worker-centered design. Similarly, educational offerings addressing HCM remain fragmented, highlighting a significant gap in both research and practice. To address this gap, this paper proposes an updated model for LF mapping that explicitly integrates HCM aspects. The model extends well-established classification frameworks by embedding HCM-related dimensions and is developed and preliminarily assessed through a pilot questionnaire within the Erasmus+ ENGAGE 5.0 project. The study contributes both theoretically and practically, advancing LF classification toward an Industry 5.0 perspective and providing suggestions to support the design and assessment of training programs aligned with HCM principles.

The 15-minute city has emerged as a dominant urban planning paradigm aimed at enhancing accessibility, sustainability, and liveability through spatial proximity. However, the logistics systems that enable such proximity remain underexplored. This study provides a structured review of the emerging literature at the intersection of urban logistics and the 15-minute city. Through a systematic literature review, the paper examines thematic trends, methodological approaches, key performance indicators (KPIs), and identifies enablers and barriers. The findings show that while interest in logistics within proximity-based urban models is rapidly increasing, the field remains conceptually and methodologically fragmented. Existing research predominantly focuses on environmental sustainability and last-mile solutions. In contrast, operational performance, economic viability, governance complexity, and long-term institutionalization are comparatively underdeveloped. Three major gaps are identified: (i) a conceptual gap, as proximity is measured but logistics systems are insufficiently theorized; (ii) a methodological gap, due to the absence of integrated, multi-dimensional frameworks of KPI; and (iii) a governance gap, with limited integration of logistics transitions within institutional and stakeholder-oriented analytical models. This study proposes a research agenda centered on integrated performance assessment, network design trade-offs, and governance mechanisms that support proximity-based logistics systems.

Purpose: This paper aims to contextualise the resilience of the healthcare supply chain (HSC) from a social–ecological (S–E) perspective, with the dual aim of investigating S–E resilience principles reflected in HSC resilience literature and identifying actions and barriers that affect HSC's capabilities to persist, adapt and transform in response to disturbances. In doing so, the study addresses the fragmentation in current conceptualisations of HSC resilience. Design/methodology/approach: A contextualised literature review systematically analysing a corpus of 89 peer-reviewed articles, guided by a S–E resilience framework, was employed to identify key actions, barriers and applied resilience principles in the HSC context. Findings: Key S–E resilience elements, such as collaboration, flexibility and agility, are already present in the HSC resilience literature. Actions enhancing HSC resilience were identified and categorised by implementation phase and enabled S–E resilience capability. Most resilience actions align with persistence and adaptation; only a few cases of transformative resilience are documented. The identification of contextual factors, such as regulatory rigidity, resource constraints and fragmentation, hindering adaptation and transformation, as well as progress towards a desirable post-disturbance state, is another key finding of this study. Social implications: Enhancing these capabilities improves the system's ability to withstand and recover from disturbances, ensuring continuous access to healthcare services, and allows the HSC to transform, exploiting disturbances as opportunities to evolve to a new, better post-disturbance state. Such transformation can lead to more equitable healthcare delivery, reduce vulnerabilities and improve long-term outcomes. Originality/value: This study examines HSC resilience through the lens of S–E resilience, which emphasises transformation to a stronger state after disturbances rather than merely restoring stability, overcoming the engineering resilience conceptualisation.