An increase in unplanned downtime of machines disrupts and degrades the industrial
business, which results in substantial credibility damage and monetary loss. The cutting tool …

In a dynamic and rapidly changing world, customers' often conflicting demands have
continued to evolve, outstripping the ability of the traditional factory to address modern-day …

This paper introduces a framework to assess the performance of manufacturing systems
using hybrid simulation in real time. Continuous and discrete variables of different machines …

As a substantial amount of multivariate time series data is being produced by the complex
systems in smart manufacturing (SM), improved anomaly detection frameworks are needed …

The recent manufacturing trend toward mass customization and further personalization of
products requires factories to be smarter than ever before in order to:(1) quickly respond to …

Different formalisms and modeling frameworks have been developed to capture the discrete
behavior of manufacturing systems. However a purely discrete model does not capture the …

Safety violations in programmable logic controllers (PLCs), caused either by faults or
attacks, have recently garnered significant attention. However, prior efforts at PLC code …

Manufacturers are constantly looking to enhance the performance of their manufacturing
systems by improving their ability to address disruptions and disturbances, while reducing …

Defense, environmental monitoring, healthcare, home automation, and other fields are just a
few of the many that make use of wireless sensor networks. There are sensor nodes in these …

A data-driven approach in production logistics is adopted as a response to challenges such
as low visibility and system rigidity. One important step for such a transition is to identify the …