This study aimed at identifying applications of learning curve (LC) modelling at individual,
group, and organisational levels in Industry 4.0 (I4. 0) environments. For that, a scoping …

A state-of-the-art literature review was conducted to explore the latest advancements in
parameterization techniques to facilitate the effective and efficient modelling of human …

Production systems are being restructured to close production cycles via implementing
circular economy (CE) practices. The planted tree industry in Brazil has shown potential for …

Production systems in industries are undergoing transformative changes, with the rise of
Industry 4.0 technologies amplifying the complexity of manual and semi-automated …

In this state-of-the-art review, the authors explore the recent advancements in the topics of
learning curve models and their estimation methods for manual operations and processes …

The growth of mechanisation and automation in welding technology has been significant,
but welders continue to play an essential role in shipbuilding yards for productivity and …

In recent years, there has been a growing surge of interest in the application of data
analytics (DA) within the realm of supply chain management (SCM), attracting attention from …

Classical assembly line balancing (ALB) models assume constant cycle times during
production. However, this assumption oversimplifies the actual situation, especially in small …

The field of service operations management has a plethora of research opportunities to
capitalise on, which are nowadays heightened by the presence of big data. In this research …

To improve the efficiency of processes and avoid monotony, the processes are partially
automated. Collaborative robots are robotic systems that can be used for (partial) …