Currently, ways to approach the design of Cyber Physical Systems in Industry 4.0 are under
development. Emerging concepts of Smart Factories require the development of specialized …

Heterarchical FMS control architectures localize decisional capabilities in each entity,
resulting in highly reactive, low complexity control architectures. Unfortunately, these …

Intelligent manufacturing (IM), sometimes referred to as smart manufacturing (SM), is the use
of real-time data analysis, machine learning, and artificial intelligence (AI) in the production …

Disruptions of the manufacturing systems caused by the disturbances such as the tool wear,
machine breakdown, malfunction of robot or transporter, and so on reduce the productivity …

Telemetry enables the collection of data from remote points to support monitoring, analysis
and visualization. It is largely adopted in Formula One car racing, where streams of live data …

The present paper deals with the negotiation based task allocation to the resources for
preparing dynamic scheduling in an agent based holonic control framework. The scheduling …

In recent years, due to intense competition through globalization, most manufacturing
companies have focused on increasing the added value and reducing the production costs …

Today's dilemma of the manufacturing system is to realize stable processes while
manufacturing's environment is affected by global competition, high degree of complexity …

We develop an analytical modeling framework for efficient prediction of cache miss ratios
based on reuse distance distributions. The only input needed for our predictions is the reuse …

The tremendous growth of Internet of Things (IoT) systems and the popularity of distributed
systems, which were brought back into fashion by containerisation, create new challenges …