Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

When exploited in remote sensing analysis, a reliable change rule with transfer ability can
detect changes accurately and be applied widely. However, in practice, the complexity of …

In this paper, a hidden Markov model with auto-correlated observations (HMM-AO) is
developed to handle the degradation modeling of manufacturing systems. Unlike the …

Digital twins-based predictive models find their roots in smart manufacturing. However, their
potential applications to control chart pattern recognition (CCPR) algorithms, which lie at the …

In most of the process monitoring, it is assumed that the observations from the process
output are independent and identically distributed. But for many processes, the observations …

This paper presents a comparison study for the optimization of stencil printing operations
using hybrid intelligence technique and response surface methodology (RSM). An average …

A well-functioning supply chain management relationship cannot only develop seamless
coordination with valuable members, but also improve operational efficiency to secure …

This paper presents a comparative study for optimizing the thermal parameters of the reflow
soldering process using traditional and artificial intelligence (AI) approaches. High yields in …

Solder paste is the main soldering material used to form strong solder joints between printed
circuit boards (PCB) and surface mount devices in the surface mount assembly (SMA). On …

On-line monitoring of process variability is strategic to achieve high standards of quality and
maintain at acceptable levels the number of nonconforming items. Shewhart control charts …