A goal of the industrial internet is to make information about manufacturing processes and resources available wherever decision making may be required. Agile use of information is a cornerstone of data analytics, but analytical methods more generally, including model-based investigations of manufacturability and operations, do not so easily benefit from this data. Rather than relating anonymous patterns of data to outcomes, these latter analytical methods are distinguished as relying on conceptual or physics-based models of the real world. Such models require careful consideration of the fitness of the data to the purpose of the analysis. Verification of these analyses, then, is a significant bottleneck. A related problem, that of ascertaining reproducible results in scientific claims, is being addressed through executable notebook technology. This paper proposes to use notebook technologies to address that bottleneck. It describes how this notebook technology, linked to internet-addressable ontologies and analytical metamodels, can be used to make model-based analytical methods more verifiable, and thus more effective for manufacturers.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
International Conference on Manufacturing Research
Citation
DENNO, P., DICKERSON, C.E. and HARDING, J.A., 2016. Networked engineering notebooks for smart manufacturing. IN: Goh, Y.M. and Case, K. (eds). Advances in Manufacturing Technology XXX, Proceedings of the 14th International Conference on Manufacturing Research (ICMR 2016), Loughborough University, Loughborough, UK, September 2016, pp. 407-412.
Publisher
IOS Press
Version
AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Acceptance date
2016-08-08
Publication date
2016
Notes
The final publication is available at IOS Press through http://dx.doi.org/10.3233/978-1-61499-668-2-407