MATEC Web Conf.
Volume 249, 20182018 5th International Conference on Mechanical, Materials and Manufacturing (ICMMM 2018)
|Number of page(s)||6|
|Section||Mechanical Engineering and Digital Manufacturing|
|Published online||10 December 2018|
An analytical framework for smart manufacturing
1 Institute for Software Integrated Systems, Vanderbilt University, Nashville, TN 37212
2 National Institute of Standards and Technology, Gaithersburg, MD 20899
Smart manufacturing is an emerging paradigm for the next generation of manufacturing systems. One key to the success of smart manufacturing is the ability to use the production data for defining predictive and descriptive models and their analyses. However, the development and refinement of such models is a labor- and knowledgeintensive activity that involves acquiring data, selecting and refining an analytical method and validating results. This paper presents an analytical framework that facilitates these activities by allowing ad-hoc analyses to be rapidly specified and performed. The proposed framework uses a domain-specific language to allow manufacturing experts to specify analysis models in familiar terms and includes code generators that automatically generate the lower-level artifacts needed for performing the analysis. We also describe the use of our framework with an example problem.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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