Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …

In nowadays production, fluctuations in demand, shortening product life-cycles, and highly
configurable products require an adaptive and robust control approach to maintain …

With the advent of intelligent manufacturing era, smart mobile robots have taken the major
roles on transporting materials through intelligent dynamic production environment. It is …

The increasing complexity of production environments and fluctuations in short-term
demand requires adaptive and robust processes. To cope with the inherent challenges …

In today's rapidly changing production landscape with increasingly complex manufacturing
processes and shortening product life cycles, a company's competitiveness depends on its …

Nowadays, energy and power companies compete to get the raw materials and equipment
they need on time, as project times lengthen, costs spiral, stock-out continues to plague …

One of the main objectives of Material Flow Control (MFC) is to ensure delivery performance.
Traditional MFC realizes this through independent decisions at two levels: order release and …

Mass, customised production is a strategy, dictated by the need to dynamically and quickly
meet customer requirements. Industry 4.0 (I4. 0) technologies can be an excellent tool to …

The significance of digital technologies in the context of digitizing production processes,
such as Artificial Intelligence (AI) and Digital Twins, is on the rise. A promising avenue of …

Production system simulation is a powerful tool for optimizing the use of resources on both
the planning and control level. However, creating and tuning such models manually is a …