Hae LUTPubista

Digitalization and the Industrial Internet of Things (IIoT) enables the collection and analysis of vast amounts of data. Big data is often not utilized optimally, especially when regarding the condition and maintenance of ...

Industry is going through the fourth industrial revolution, as sensors and devices in industrial sites are being connected to the Internet. The collected data can be refined with machine learning and data analytics to ...

In this thesis, it is shown that damaged Multilayer Ceramic Capacitors (MLCCs) can be acoustically identified in a non-destructive manner. This is done by utilizing the piezoelectric behavior of the ceramic dielectric, ...

The purpose of this study is to develop a practical solution to a truck dock assignment problem specific to manufacturing industry inbound articles reception. In this article a variant of Branch-and-Bound algorithm was ...

Organizations have started to utilize robotic process automation more on their business and many processes in enterprise resource planning systems have been or will be automatized. Since some companies do not have any ...

Energy management is an important topic in modern smart grids. Energy management strategies allow to reduce the electrical consumption of microgrid from macrogrid and smooth the graphic of electricity consumption and thus ...

The focus of this thesis is an analysis of the state of integration and underlying connections between strategic management and sustainable development. The primary research problem is the inherent logical contradictions ...

This work covers energy efficiency analysis of Data Center (DC) operations. DCs empower a wide variety of applications and enhance decision making processes. Having such a crucial role in the modern life, DCs remain large ...

The aim of this thesis is to examine how current practices of content marketing performance measurement are done at the case company and how reporting process could be improved. New reporting dashboard is created as part ...

Customer churn prediction is a field that uses machine learning to predict whether a customer is going to leave the company or not. The goal of this thesis is to study the churn prediction field and apply the knowledge in ...