An Industry 4.0 framework, showing every possible action towards the complete digitalization of a company both considering strategic and technological aspects, is proposed. The state art analysis re-elaboration allows to coherently integrating many valuable but scattered narrow contributions into holistic view covering following dimensions: value drivers, levers action, processes enabling technologies. Based on this framework consequences in shaping new working environment are analyzed...

today literature proposes several models to assess the level of digitisation a company. However, includes innumerable elements and aspects that require either are too complex be easily applied by Small Medium Enterprises (SMEs) or high-level provide significant hints for improvement. This paper model measuring Artificial Intelligence (AI) readiness promoting its adoption in SMEs. By focusing approach, is obtained easy apply, also SMEs, sufficiently detailed relevant information guidelines....

This paper proposes an adaptive human-machine collaboration paradigm based on machine learning. Human-machine requires more than letting humans and machines interact according to fixed rules. A decision-maker is needed assess production status activate adaptations that improve productivity workers’ well-being. The proposed solution has been tested in injection moulding manufacturing line. By introducing a physiological monitoring system smart decision-maker, relief from fatigue mental stress...

In the context of Industry 4.0 approach, applications and solutions supporting monitoring, simulation, optimisation decision-making in production systems are exponentially growing. These commonly built on digital twins, i.e., comprehensive, structured effective representations system its entities, whose current status is constantly updated by plugged data sources. The arising 5.0 paradigm established key role workers manufacturing require new Digital Twins to represent also humans. fact, as...

This paper extends the traditional factory digital twins by incorporating human characterisation in Asset Administration Shell (AAS). The extension lays basis for human-centred control and management, as demonstrated employing a prototype of extended AAS two proposed use cases. Referred to Industry 5.0, an accurate representation humans data-based decision support improve operators' well-being resilience. is include dedicated models accommodating set properties describe operators its...

In the last decade, manufacturing domain has been marked by a veritable flood of technological breakthroughs. Collaborative robotics, in particular, enabled workstations to be shared between humans and their robotic counterparts. The ability collaborative robots work side-by-side with opened up new possibilities for task activity design manufacturing. However, despite promising outlook, actual collaboration cobots existing applications is very limited, so potential technology only partially...

Abstract Collaborative robotics possesses the potential to revolutionise industrial automation by offering affordable and accessible solutions with reasonable skill requirements. However, identifying most valuable appropriate applications for this technology remains a challenge. This study conducted comprehensive literature review analyse existing collaborative applications, results showed that only limited number of can be considered true collaboration, even fewer classified as intelligent...

Multiple and diverse factory digital twins have been proposed in the literature. However, despite recognized growing importance of workers smart autonomous industrial settings, such models still lack or oversimplify human representation. Human must include monitoring behavioural data based on psychophysical status, knowledge, skills, personal needs to manage production systems that aim, at same time, achieve process performance workers' wellbeing. This paper proposes a metamodel data,...

Industry 4.0 (I4) as a concept offers powerful opportunities for many businesses.The set of technologies is still discussed, and boundaries are not perfectly clear.However, implementation becomes strategic principle, necessary condition succeeding on turbulent markets.Radio Frequency Identification (RFID) was used before I4 emerged.However, it should be treated its important part even enabler.The question arises how adoption RFID impacted by paradigm.Therefore, to answer this technology...

Quality inspection, typically performed manually by workers in the past, is now rapidly switching to automated solutions, using artificial intelligence (AI)-driven methods. This elevates job function of quality inspection team from physical tasks related managing workflows synergy with AI agents, for example, interpreting outcomes or labeling image data models. In this context, we have studied how defect can be enhanced, providing hints operator ease identification. Furthermore, developed...

The adoption of wearable devices is crucial in Industry 5.0 applications, but the devices' selection cumbersome for practitioners and researchers due to wide availability models market. This work proposes a methodology based on Analytic Hierarchy Process method support applications. helps identifying most suitable starting from application requirements features analysis. We tested real industrial setting (human fatigue detection), successfully two among list 110 alternatives.

Manufacturing companies continuously face the challenge of improving their sustainability profile, but one major problems with sustainability-centred business approaches relates to simultaneous pursuit private and public (society environment) benefits. Industrial symbiosis (IS) can be a powerful answer these approaches: IS lead virtuous behaviours coupling environmental (public) benefits economic (private) performances. projects opportunities are amplified for belonging industrial parks or...

The sharing economy emerged in recent years as a model disrupting the approach to traditional B2B and B2C value chains by giving access underutilized resources at fraction of cost whom cannot or do not want buy new products. In this context, multi-sided platforms (MSPs) play pivotal role providing environments technological infrastructures able match make needs manifold user insisting on them. manufacturing sector didn't remain untouched trend, but still struggle set up drivers supporting...

The integration of IoT infrastructures across production systems, together with the extensive digitalisation industrial processes, are drastically impacting manufacturing value chains and business models built on top them. By exploiting these capabilities companies evolving nature their businesses shifting proposition towards relying product servitization share, instead ownership. In this paper, we describe semantic data-model developed to support a digital platform fostering reintroduction...

Over the last years, flourishing of B2B platforms led to diffusion business models inspired by sharing economy. Manufacturing as a service (MaaS) is paradigm that often cited in this context, even though literature on topic still scarce well empirical evidence. This paper contributes field discussing design MaaS platform, proposing methodology and then focusing, particular, elicitation platform specifications value definition. Two different perspectives, technical one one, are adopted...