A Feasibility Study of Azure Machine Learning for Sheet Metal Fabrication
Kwitek, Marek (2016)
Opinnäytetyö kokotekstinä PDF-muodossa.
The research demonstrated that sheet metal fabrication machines can utilize machine learning to gain competitive advantage. With various possible applications of machine learning, it was decided to focus on the topic of predictive maintenance. Implementation of the predictive service is accomplished with Microsoft Azure Machine Learning. The aim was to demonstrate to the stakeholders at the case company potential laying in machine learning. It was found that besides machine learning technologies being founded on sophisticated algorithms and mathematics it can still be utilized and bring benefits with moderate effort required. Significance of this study is in it demonstrating potentials of the machine learning to be used in improving operations management and especially for sheet metal fabrication machines.
- Pro gradut ja diplomityöt