Energy intensive industries can be classified into those that process metal, glass, ceramics,
paper, cement, and bulk chemicals. They are associated with significantly high proportions …

Within the concept of factories of the future, big data analytics systems play a critical role in
supporting decision-making at various stages across enterprise processes. However, the …

Nowadays, guaranteeing the highest product variety in the shortest delivery time represents
one of the main challenges for most of industries. The dynamic contexts where they have to …

Data-driven simulation (DDS) is fundamental to analytical and decision-support
technologies in Industry 4.0 and smart manufacturing. This study investigates the potential of …

Digital twin (DT) technology is increasingly recognised for its potential to transform the
manufacturing industry, particularly in assembly automation. By offering real-time insights …

With the current digital transformation and the development of complex manufacturing
systems, advanced maintenance is proposed to improve the competitiveness of complex …

Abstract Automated Guided Vehicles (AGVs) have played an important role in modern
factories or warehouses, replacing traditional conveyor-based sorting systems due to their …

Integration of sophisticated technologies such as Internet of Things, cyber physical systems
and big data analytics have revolutionized the advanced manufacturing systems (AMS) …

The manufacturing industry has faced a variety of changes in the business environment, and
is required to establish a production system that can respond quickly to changes in the …

In today's manufacturing landscape, digital twin-enabled smart factories are revolutionising
traditional practises by leveraging cutting-edge technologies such as Internet of Things (IoT) …