Sometimes the quality of a process is best expressed by a relationship between response
variables and explanatory variables. Checking over the time the stability of such functional …

Data mining and analytics have played an important role in knowledge discovery and
decision making/supports in the process industry over the past several decades. As a …

In many applications of manufacturing and service industries, the quality of a process is
characterized by the functional relationship between a response variable and one or more …

In certain cases, the quality of a process or a product can be effectively characterized by two
or more multiple linear regression profiles in which response variables are correlated. This …

Although several works have been proposed for multi-channel profile monitoring, two
additional challenges are yet to be addressed:(i) how to model complex correlations of multi …

A large number of real-time quality data are collected through various sensors in the
manufacturing process. However, most process data are high-dimension, nonlinear and …

Abstract Service failures can be manifested through customer complaints in the form of
negative reviews. It is vital for businesses to monitor the occurrence and severity of customer …

In the last decade manufacturing experienced a shift towards digitalization. Cost decrease of
sensors, wireless connectivity, and the opportunity to store big amounts of data pushed a …

The quality of a product or process is an important issue for both customers and producers.
The quality could be defined as a linear relationship between the response variable (s) and …

In some industrial applications, the quality of a process or product is characterized by a
relationship between the response variable and one or more independent variables which is …