This work presents a framework for interfacing a reinforcement learning algorithm with a finite element model in order to develop an artificial neural network controller. The goal of the controller is accelerating the hot compression process of the titanium aluminide TNM-B1. The reinforcement...

The periodic nature of auditing and monitoring allows for a valuable time-delay between the occurrence of an important business event and the analysis of that event. Advances in technology provide opportunities to reduce the time delay between the occurrence and analysis of a business process...

Historical investment performance is most commonly displayed as a charted time series of what are referred to simply as “growth” returns. Unfortunately, charts of such returns have a number of shortcomings that can severely limit their value as a means of providing investors with a...

In recent years, there has been a resurgence in the development of control charts for monitoring the mean of the ratio of two correlated variables. However, most of the existing research has focused on the univariate mean of the ratio of two correlated variables under the assumption that the...

In this paper, we plan to propose individual and integrated multivariate Hotelling T2 control chart for a multi component load sharing system. In fact, the multivariate Hotelling T2 control chart for monitoring process under assumptions that the vector of signals follows a multivariate normal...