Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10674388 | CIRP Annals - Manufacturing Technology | 2013 | 4 Pages |
Abstract
Throughout the last couple of years several approaches for the feedback-based improvement of capital goods have been developed. Based on previous research work the authors are proposing a new methodology of decision support for the improvement of existing mass-produced standard products. This approach is based on prescriptive decision theory and uses feedback data in addition to product-specific characteristics and properties. For the prediction and evaluation of different improvement alternatives, the presented solution uses object-oriented Bayesian networks (OOBN). The validation of the proposed solution has been demonstrated on the basis of decision processes for the improvement of centrifugal pumps.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Michael Abramovici, Andreas Lindner,