Year: 2018
Type: article
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 key the factors of big data; volume, velocity, and variety of data.
Source: Procedia CIRP
Institutions: Chalmers University of Technology, Ericsson (Sweden), SKF (Sweden)
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funders: VINNOVA, Chalmers Tekniska Högskola
OpenAlex ID: W2810768937