Since 1880, the Earth's temperature has increased at a pace of 0.14° Fahrenheit (0.08°
Celsius) every decade; however, the rate of warming since 1981 is more than double that, at …

Machine Learning (ML) techniques for time series prediction are becoming increasingly
accurate and helpful, particularly in considering climate change. As more methods are …

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 …

While numerous contributions and applications have been extended in profile monitoring,
little attention has been paid to employing machine learning techniques in development of …

When a process is under statistical control, one is usually interested in evaluating process
performance based on specification limits (SLs) provided by customer. This evaluation is …

Simple linear profiles (SLPs) are modeled by linear functional relationship between a
response variable and an explanatory variable. A number of process capability indices …

We consider the process capability index C pmc when a tolerance cost function is
introduced. It is well known that C pmc performs well under the general assumption that the …

In many applications of statistical process control, the quality of a product or a process is
described by the relationship between the response variable and one or more independent …

A sustainable transportation location inventory routing problem (TLIRP) has been studied in
this paper. The sustainable objective functions have been developed as three pillars of …

In recent decades, freight transportation systems have been developed rapidly. This
development leads to using various policies to enhance system utilization. The studies show …