Using data analytics to properly extracting insights that are in-line to the enterprises strategic
goals is crucial for the business sustainability. Developing the most fitting context as a …

This book presents a comprehensive framework for developing Industry 4.0 and 5.0
solutions through the use of ontology modeling and graph-based optimization techniques …

In the highly competitive field of material manufacturing, stakeholders strive for the increased
quality of the end products, reduced cost of operation, and the timely completion of their …

Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …

ABSTRACT Industry 4.0 (I4. 0)(or smart manufacturing) is a new era in the industrial
revolution that emphasises machine connectivity, automation, and data analytics. This …

Cyber-physical production systems are constituted of various sub-systems in a production
environment, from machines to logistics networks, that are connected and exchange data in …

The rapid development of information and communication technologies has enabled a value
co-creation paradigm for developing industrial products and services, where massive …

The challenges of the global marketplace and the growing complexity of business
philosophies and technologies mix, the enterprises are forced to utilize knowledge …

Data analytics is vital in manufacturing for extracting insights from production data and
optimising production processes. Semantic technologies including knowledge graphs (KG) …

Digital Twins (DT) is an emerging technology that helps activities in process simulation,
monitoring, and control as well as develops insights on process parameter relationships to …