Model-based engineering for the integration of manufacturing systems with advanced analytics

David Lechevalier; Anantha Narayanan; Sudarsan Rachuri; Sebti Foufou; Y. Tina Lee

doi:10.1007/978-3-319-54660-5_14

Model-based engineering for the integration of manufacturing systems with advanced analytics

David Lechevalier, Anantha Narayanan, Sudarsan Rachuri, Sebti Foufou, Y. Tina Lee

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

To employ data analytics effectively and efficiently on manufacturing systems, engineers and data scientists need to collaborate closely to bring their domain knowledge together. In this paper, we introduce a domain-specific modeling approach to integrate a manufacturing system model with advanced analytics, in particular neural networks, to model predictions. Our approach combines a set of meta-models and transformation rules based on the domain knowledge of manufacturing engineers and data scientists. Our approach uses a model of a manufacturing process and its associated data as inputs, and generates a trained neural network model as an output to predict a quantity of interest. This paper presents the domain-specific knowledge that the approach should employ, the formal workflow of the approach, and a milling process use case to illustrate the proposed approach. We also discuss potential extensions of the approach.

Original language	English (US)
Title of host publication	Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers
Editors	Benoit Eynard, Abdelaziz Bouras, Alain Bernard, Louis Rivest, Ramy Harik
Publisher	Springer New York LLC
Pages	146-157
Number of pages	12
ISBN (Print)	9783319546599
DOIs	https://doi.org/10.1007/978-3-319-54660-5_14
State	Published - 2016
Event	13th IFIP WG 5.1 International Conference on Product Lifecycle Management for Digital Transformation of Industries, PLM 2016 - Columbia, United States Duration: Jul 11 2016 → Jul 13 2016

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	492
ISSN (Print)	1868-4238

Other

Other	13th IFIP WG 5.1 International Conference on Product Lifecycle Management for Digital Transformation of Industries, PLM 2016
Country/Territory	United States
City	Columbia
Period	7/11/16 → 7/13/16

Keywords

Data analytics
Manufacturing process
Meta-model
Neural network
Predictive modeling

ASJC Scopus subject areas

Information Systems and Management

Access to Document

10.1007/978-3-319-54660-5_14

Cite this

Lechevalier, D., Narayanan, A., Rachuri, S., Foufou, S., & Lee, Y. T. (2016). Model-based engineering for the integration of manufacturing systems with advanced analytics. In B. Eynard, A. Bouras, A. Bernard, L. Rivest, & R. Harik (Eds.), Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers (pp. 146-157). (IFIP Advances in Information and Communication Technology; Vol. 492). Springer New York LLC. https://doi.org/10.1007/978-3-319-54660-5_14

Model-based engineering for the integration of manufacturing systems with advanced analytics. / Lechevalier, David; Narayanan, Anantha; Rachuri, Sudarsan et al.
Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers. ed. / Benoit Eynard; Abdelaziz Bouras; Alain Bernard; Louis Rivest; Ramy Harik. Springer New York LLC, 2016. p. 146-157 (IFIP Advances in Information and Communication Technology; Vol. 492).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lechevalier, D, Narayanan, A, Rachuri, S, Foufou, S & Lee, YT 2016, Model-based engineering for the integration of manufacturing systems with advanced analytics. in B Eynard, A Bouras, A Bernard, L Rivest & R Harik (eds), Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers. IFIP Advances in Information and Communication Technology, vol. 492, Springer New York LLC, pp. 146-157, 13th IFIP WG 5.1 International Conference on Product Lifecycle Management for Digital Transformation of Industries, PLM 2016, Columbia, United States, 7/11/16. https://doi.org/10.1007/978-3-319-54660-5_14

Lechevalier D, Narayanan A, Rachuri S, Foufou S, Lee YT. Model-based engineering for the integration of manufacturing systems with advanced analytics. In Eynard B, Bouras A, Bernard A, Rivest L, Harik R, editors, Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers. Springer New York LLC. 2016. p. 146-157. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-319-54660-5_14

Lechevalier, David ; Narayanan, Anantha ; Rachuri, Sudarsan et al. / Model-based engineering for the integration of manufacturing systems with advanced analytics. Product Lifecycle Management for Digital Transformation of Industries - 13th IFIP WG 5.1 International Conference, PLM 2016, Revised Selected Papers. editor / Benoit Eynard ; Abdelaziz Bouras ; Alain Bernard ; Louis Rivest ; Ramy Harik. Springer New York LLC, 2016. pp. 146-157 (IFIP Advances in Information and Communication Technology).

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Model-based engineering for the integration of manufacturing systems with advanced analytics

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Keywords

ASJC Scopus subject areas

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