Predicting the Performance of Collaborative Manufacturing Projects: Knowledge Discovery from Digital Assets (original) (raw)

3rd Annual EPSRC Manufacturing the Future Conference

Abstract

Knowledge is consistently generated and used across the manufacturing project lifecycle. To prevent obsolescence and improve sustainability, certain project knowledge needs to be preserved and re-used. The proposed approach is an automatic mechanism and requires zero user intervention, thus it can be smoothly applied or integrated in real manufacturing environments. It can discover the knowledge from “big data”, and then uses the prediction mechanism to provide various assistants to project participants.

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