5G Enabled Manufacturing Evaluation for Data-Driven Decision-Making
Paper i proceeding, 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

Författare

Maja Bärring

Chalmers, Industri- och materialvetenskap, Produktionssystem

Camilla Lundgren

Chalmers, Industri- och materialvetenskap, Produktionssystem

Magnus Åkerman

Chalmers, Industri- och materialvetenskap, Produktionssystem

Björn Johansson

Chalmers, Industri- och materialvetenskap, Produktionssystem

Johan Stahre

Chalmers, Industri- och materialvetenskap, Produktionssystem

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.

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Styrkeområden

Produktion

DOI

10.1016/j.procir.2018.03.169