5G Enabled Manufacturing Evaluation for Data-Driven Decision-Making
Paper in proceedings, 2018

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.

Big data

Data-driven decision-making

5G

Author

Maja Bärring

Chalmers, Industrial and Materials Science, Production Systems

Camilla Lundgren

Chalmers, Industrial and Materials Science, Production Systems

Magnus Åkerman

Chalmers, Industrial and Materials Science, Production Systems

Björn Johansson

Chalmers, Industrial and Materials Science, Production Systems

Johan Stahre

Chalmers, Industrial and Materials Science, Production Systems

Ulrika Engström

Ericsson AB

Martin Friis

SKF

Procedia CIRP

2212-8271 (eISSN)

Vol. 27 266-271 394497

51st CIRP Conference on Manufacturing Systems
Stockholm, Sweden,

5GEM - 5G-Enabled Manufacturing

VINNOVA, 2015-11-16 -- 2017-11-15.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Areas of Advance

Production

DOI

10.1016/j.procir.2018.03.169

More information

Latest update

8/16/2018