The umbrella term industry 4.0 stands for the ongoing integration of modern smart technologies in industrial settings. The implementation of the technologies it covers has been an ongoing process for a decade. However, there is a huge variation in companies adaptation of these technologies and progress is slow. This master’s thesis is conducted in collaboration with Cybercom Group and aims to investigate what is keeping the adaptation of Industry 4.0 technologies from taking of. This study was mainly tackled through qualitative interviews with nine different Swedish industry companies. In these interviews their opinions and thoughts on the current state of their factory in contrast to the industry 4.0 vision were discussed. This study reveals that limitations such as high costs on IoT sensors, unsure return of investment, battery constraints on IoT devices, unstable availability on IoT devices connected to the cloud and a general lack of knowledge hampers the adaptation of Industry 4.0 technologies. Finally we provide a price approximation for the monthly cost of streaming data to the three biggest cloud providers (AWS, Microsoft Azure and Google Cloud) for a use case of 8 sensors monitoring a blasting machine. This case shows that the price models of AWS and Google cloud is better suited for smaller cases than Azures while both AWS and Azures price models outperforms Google clouds price model at larger scales.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-176916 |
| Date | January 2021 |
| Creators | Hellberg, Tim, Ström, Filip |
| Publisher | Linköpings universitet, Institutionen för datavetenskap, Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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