David Lechevalier

According to our database, David Lechevalier authored at least 15 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Simulating a virtual machining model in an agent-based model for advanced analytics.

David Lechevalier, Seung-Jun Shin, Sudarsan Rachuri, Sebti Foufou, Y. Tina Lee, Abdelaziz Bouras

J. Intell. Manuf., 2019

Towards Operational Use of Unit Manufacturing Process Models.

Amogh Kulkarni, William Z. Bernstein, David Lechevalier, Daniel Balasubramanian, Peter Denno, Gabor Karsai

Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018

A methodology for the semi-automatic generation of analytical models in manufacturing.

David Lechevalier, Anantha Narayanan, Sudarsan Rachuri, Sebti Foufou

Comput. Ind., 2018

2017

Developing a decision support system for improving sustainability performance of manufacturing processes.

Seung-Jun Shin, Duck Bong Kim, Guodong Shao, Alexander Brodsky, David Lechevalier

J. Intell. Manuf., 2017

Towards smart manufacturing with virtual factory and data analytics.

Sanjay Jain, David Lechevalier, Anantha Narayanan

Proceedings of the 2017 Winter Simulation Conference, 2017

Issues in synthetic data generation for advanced manufacturing.

Don Libes, David Lechevalier, Sanjay Jain

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Standards based generation of a virtual factory model.

Sanjay Jain, David Lechevalier

Proceedings of the Winter Simulation Conference, 2016

Model-Based Engineering for the Integration of Manufacturing Systems with Advanced Analytics.

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

Proceedings of the Product Lifecycle Management for Digital Transformation of Industries, 2016

2015

Communicating standards through structured terminology.

Anantha Narayanan, David Lechevalier, K. C. Morris, Sudarsan Rachuri

Comput. Stand. Interfaces, 2015

Towards a virtual factory prototype.

Sanjay Jain, David Lechevalier, Jungyub Woo, Seung-Jun Shin

Proceedings of the 2015 Winter Simulation Conference, 2015

A Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics.

David Lechevalier, Seung-Jun Shin, Jungyub Woo, Sudarsan Rachuri, Sebti Foufou

Proceedings of the Product Lifecycle Management in the Era of Internet of Things, 2015

Automated uncertainty quantification analysis using a system model and data.

Saideep Nannapaneni, Sankaran Mahadevan, David Lechevalier, Anantha Narayanan, Sudarsan Rachuri

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

A neural network meta-model and its application for manufacturing.

David Lechevalier, Steven Hudak, Ronay Ak, Y. Tina Lee, Sebti Foufou

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

An information classification system for life cycle and manufacturing standards.

Sarah Wolff, Anantha Narayanan, David Lechevalier, K. C. Morris

Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

Towards a domain-specific framework for predictive analytics in manufacturing.

David Lechevalier, Anantha Narayanan, Sudarsan Rachuri

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014