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...

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...

Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking the measurement in the production process. While the fuzzy approach helps to tackle the ambiguity that arises in the measurement, an interval type-2 fuzzy set deals with...

We consider a linear measurement error model (MEM) with AR(1) process in the state equation which is widely used in applied research. This MEM could be equivalently re-written as ARMA(1,1) process, where the MA(1) parameter is related to the variance of measurement errors. As the MA(1) parameter...

The adaptive EWMA (AEWMA) charts have been broadly perceived as an effective process monitoring instrument due to their capability to rapidly detect the parameter(s) shifts of diverse sizes. In this paper, a function based AEWMA control chart is designed to efficiently observe the stability of...

We carried out an Internet search of publicly available organization charts for the 2,000 largest companies according to Forbes 2019 ranking. We collected 913 organization charts of 648 companies, but only a fraction allowed reproduction. Although we do not have permission to make this visual...