The construction of effectual connection to bridge the gap between physical machine tools
and upper software applications is one of the inherent requirements for smart factories. The …

Although auto-identification devices such as radio frequency identification and smart
sensors have been widely used in shopfloor management and control, major challenges still …

The overlap of the growth of big data with that of the Internet of Things (IoT) is well reflected
by the dramatic surge in the use of devices connected to IoT and the exponential rise in data …

Over the last two decades, manufacturing across the globe has evolved to be more intel-
ligent and data driven. In the age of industrial Internet of Things, a smart production unit can …

Abstract Industry 4.0 and Industrial Internet of Things (IIoT) technologies are rapidly fueling
data and software solutions driven digitalization in many fields notably in industrial …

With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …

Big data production in industrial Internet of Things (IIoT) is evident due to the massive
deployment of sensors and Internet of Things (IoT) devices. However, big data processing is …

Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

“Big data” is an emerging topic and has attracted the attention of many researchers and
practitioners in industrial systems engineering and cybernetics. Big data analytics would …

With the rapid development of information, communication, Internet and other technologies,
data from all walks of life show the characteristics of explosive growth. The industrial big …