5G Enabled Manufacturing Evaluation for Data-Driven Decision-Making

Maja Bärring, Camilla Lundgren, Magnus Åkerman, Björn Johansson, Johan Stahre, Ulrika Engström, Martin Friis

Procedia CIRP · 2018 · 22 citations · 9 references

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Abstract

Manufacturing industries are experiencing a technical paradigm shift that will change how they run their operations. Equipment and personnel generate an ever-increasing amount of data, and connectivity enables to utilize data to a larger extent. Connecting a machine is not a technical obstacle anymore, but with all available data, the challenge is to understand the requirements of data to support efficient decision-making. This paper will address the requirements of data by domain experts, in the context of more real-time data available. A focus group interview was performed, assessing the key factors of big data; volume, velocity, and variety of data.

References

9