Since the terms of system and process have emerged, increase of quality of these and efforts for continuously improving them have become significantly important topics. In the literature and the studies that have been ...

Flexible manufacturing systems are seen as a new competitive force among contemporary manufacturing systems. This system, however, offers many advantages to the manufacturer, have led to highly complex analysis methods ...

A network is an important tool for modeling data in different domains including physics, chemistry, biology, sociology, engineering, and computer science. Most of the graphs created in these areas are non-symmetric networks ...

Phase I analysis of a control chart implementation comprises parameter estimation, chart design, and outlier filtering, which are performed iteratively until reliable control limits are obtained. These control limits are ...

Bayesian Networks (BNs) are effective tools in analysis of causal relations in uncertain environments. BNs can make probabilistic calculations when a part of their variables are unknown. They can be constructed based on ...

Industrial revolutions have huge impacts on human history when these revolutions are compared with other historic moments. Alterations of energy regime, improvements of production processes and changes in the ways of ...

Reliability engineering focuses on analyzing the properties related with failure times of high valued items. Bayesian Networks (BNs) are an effective way of analyzing causal relations, they allow incorporating expert ...

Two-player zero sum games, or in short matrix games, are useful models in game theory that models total conflict between the players. Since it is unrealistic for players to know exact payoff values in advance, in recent ...

Cloud technology is a new generation information technology that provides the resources and applications for users over the internet. Hence, it is taking an increasingly important position in Industry 4.0 implementations ...

In this thesis, two new ranking methods have been proposed in the scope of Data Envelopment Analysis (DEA) which is used to evaluate the relative effectiveness of Decision Making Units (DMUs) with multiple inputs and ...