David Lechevalier

Orcid: 0000-0001-5668-2504

According to our database1, David Lechevalier authored at least 15 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2019
Simulating a virtual machining model in an agent-based model for advanced analytics.
J. Intell. Manuf., 2019

Towards Operational Use of Unit Manufacturing Process Models.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018
A methodology for the semi-automatic generation of analytical models in manufacturing.
Comput. Ind., 2018

2017
Developing a decision support system for improving sustainability performance of manufacturing processes.
J. Intell. Manuf., 2017

Towards smart manufacturing with virtual factory and data analytics.
Proceedings of the 2017 Winter Simulation Conference, 2017

Issues in synthetic data generation for advanced manufacturing.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Standards based generation of a virtual factory model.
Proceedings of the Winter Simulation Conference, 2016

Model-Based Engineering for the Integration of Manufacturing Systems with Advanced Analytics.
Proceedings of the Product Lifecycle Management for Digital Transformation of Industries, 2016

2015
Communicating standards through structured terminology.
Comput. Stand. Interfaces, 2015

Towards a virtual factory prototype.
Proceedings of the 2015 Winter Simulation Conference, 2015

A Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics.
Proceedings of the Product Lifecycle Management in the Era of Internet of Things, 2015

Automated uncertainty quantification analysis using a system model and data.
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.
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.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

Towards a domain-specific framework for predictive analytics in manufacturing.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014


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