The advent of Industry 4.0 and the development of future industrial applications can be
achieved using Cyber-Physical Systems (CPS). This technological development invokes …

This review article delves into the conceptual framework of digital twins and their diverse
applications across research domains, highlighting the pivotal role of machine learning in …

Personalized product demands have made the production mode of many varieties and small
batches mainstream. Self-organizing manufacturing systems represented by multi-agent …

Customer profiles have rapidly changed over the past few years, with products being
requested with more customization and with lower demand. In addition to the advances in …

A scheduling problem with subcontracted resources is widely spread and is associated with
the distribution of limited renewable and non-renewable resources, both own and …

The optimization of job shop scheduling is pivotal for improving overall production efficiency
within a workshop. In demand-driven personalized production modes, achieving a balance …

Industry 4.0 describes a smart job shop as follows: it can meet individual customer
requirements even if the requirements are changed at the last minute; its production control …

Decentralised scheduling has been recently advocated as a promising alternative to
overcome the difficulties of scheduling jobs in today's complex and uncertain manufacturing …

In the recent years, the advent of the Industry 4.0, the concepts of Cyber-Physical System
and Internet of Things arises, allowing to shift from a classical hierarchical approach to the …

Autonomous factories require high levels of adaptability, flexibility, and resilience to react to
uncertainties on the shop floor, such as machine downtime. This paper proposes a …