In recent years, information available from multiple data modalities has become increasingly
common for industrial engineering and operations research applications. There have been a …

This article presents the concepts, methodologies, and applications of In-Process Quality
Improvement (IPQI) in complex manufacturing systems. As opposed to traditional quality …

Catastrophic failure in brittle materials is often due to the rapid growth and coalescence of
cracks aided by high internal stresses. Hence, accurate prediction of maximum internal …

In manufacturing industries, it is of fundamental importance to detect anomalies in
production in order to meet the required quality goals and to limit the number of defective …

High-throughput and cost-efficient fabrication of intricate nanopatterns using top-down
approaches remains a significant challenge. To overcome this limitation, advancements are …

Heterogeneous but complementary sources of data provide an unprecedented opportunity
for develo** accurate statistical models of systems. Although the existing methods have …

Reverse Engineering (RE) has been widely used to extract geometric design information
from a physical product for reproduction or redesign purposes. A scan of an object is often …

Feature extraction for tensor data serves as an important step in many tasks such as
anomaly detection, process monitoring, image classification, and quality control. Although …

Abstract In a Multistage Manufacturing Process (MMP), multiple types of sensors are
deployed to collect intermediate product quality measurements after each stage of …

Mixed effect modeling for longitudinal data is challenging when the observed data are
random objects, which are complex data taking values in a general metric space without …