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Netland, Torbjørn H.
Roh, PhilipShow all
- Journal Article
Modern manufacturing machines are equipped with an array of sensors that collect a large amount of manufacturing data. This data can be used to improve the machines' productivity. Both, machine users and machine suppliers can benefit from such opportunities. However, because suppliers also serve competitors, machine users are reluctant to share data. The fear of losing intellectual property represents a major hurdle, and consequently no data is shared at all. To overcome this issue and to realize yet unexplored potentials, a five-step method for initializing data-driven productivity improvements in machinery supply chains is introduced. The proposed method was tested and validated in a case study, and the potential improvements for machine users were quantified. Show more
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Journal / seriesInternational Journal of Mechatronics and Manufacturing Systems
Subjectdata sharing; Remote service; smart machining systems; Product-service systems
Organisational unit09501 - Netland, Torbjörn H. / Netland, Torbjörn H.
03641 - Wegener, Konrad / Wegener, Konrad
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