Manufacturing and service processes today usually involve more than one process stages
and operations. With an emphasis on achieving satisfactory product and service quality …

Manufacturing companies are continuously facing the challenge of operating their
manufacturing processes and systems in order to deliver the required production rates of …

The main aim of this article is to review and discuss two particular topics of statistical process
monitoring: the need for a nonparametric approach to Phase I analysis and the use of …

A multistage system refers to a system consisting of multiple components, stations or stages
required to finish the final product or service. Multistage systems are very common in …

This work develops a physics-informed transfer learning framework for modeling and control
of a nonlinear process network with limited training data. Unlike the conventional transfer …

Monitoring healthcare processes, such as surgical outcomes, with a keen focus on detecting
changes and unnatural conditions at an early stage is crucial for healthcare professionals …

In direct laser deposition (DLD) processes, process uncertainty leads to defects in the final
product, which can significantly compromise product quality, mechanical properties, and …

In multidimensional applications, it is very rare that all variables shift at the same time. A
statistical process control procedure would have superior efficiency when limited to the …

The process uncertainty induced quality issue remains the major challenge that hinders the
wider adoption of additive manufacturing (AM) technology. The defects occurred significantly …

Statistical process control, monitoring, and diagnosis of a multistage process remain
challenging problems in both the manufacturing and service industries. This paper proposes …