Abstract
This thesis describes emerging technologies such as the Internet of Things, Predictive analytics and Cyber-physical systems that are intensively researched by industrial companies. The goal will be to find out how to exploit these technologies for improvement of effectivity in production and maintenance. The key to achievement will be the automation of processes and smooth data exchange among various devices. Further, this paper is delimited to describe different tools and methods that are currently used by companies which utilize the Industrial Internet of Things (IIoT). However, there are other rapidly evolving technologies that may be beneficial for industrial companies. Hence, we propose an improvement of the maintenance process with augmented reality based on analyzed technology used in an industrial company KONE.
| Educations | MSc in Business Administration and Information Systems, (Graduate Programme) Final Thesis |
|---|---|
| Language | English |
| Publication date | 2018 |
| Number of pages | 149 |
| Supervisors | Daniel Hardt |