Query-based Risks Management of Manufacturing Processes

Christophe Ponsard, Renaud De Landtsheer, Gustavo Ospina, Stephan Printz, Johann Philipp von Cube

Abstract

Managing risks in supply chains is challenging for most companies, given the globalisation process which is strengthening the production constraints and also introducing more procurements risks. This is especially difficult for smaller companies because they generally lack resources to develop a specific expertise or buy expensive tools. Our research aims at addressing those issues by proposing an easy to use, yet powerful simulation framework based on Discrete Event Simulation. In our previous work we demonstrated the expressiveness of our modelling language and the efficiency of our simulation framework. The focus of this paper is on the usability dimension of the developed tool. We describe the global process driving the company through the whole risk control process, from identification, modelling, simulation and analysis. We demonstrate our ideas on a web-based prototype composed on a number of wizards and component supporting the structured analysis of simulation outcome in direct relation with the risks.

References

  1. ClientIO (2016). JointJS website. http://jointjs.com.
  2. Landtsheer, R. D., Ospina, G., Massonet, P., Ponsard, C., Printz, S., Hrtel, L., and von Cube, J. P. (2016). A Discrete Event Simulation Approach for Quantifying Risks in Manufacturing Processes. In Int. Conf. on Op. Research and Enterprise Systems (ICORES).
  3. Deleris, L. and Erhun, F. (2005). Risk management in supply networks using Monte-Carlo simulation. In 2005 Winter Simulation Conference, Orlando, USA.
  4. Jorion, P. (2006). Value at Risk, 3rd Ed.: The New Benchmark for Managing Financial Risk. McGraw-Hill.
  5. Obeo (2016). Sirius Obeo Designer. http://www.obeodesigner.com/sirius.
  6. OscaR (2012). OscaR: Scala in OR. https://bitbucket.org/oscarlib/oscar.
  7. Printz, S., von Cube, P., and Ponsard, C. (2015). Management of procurement risks on manufacturing processes - survey results. http://simqri.com/uploads/media/Survey Results.pdf.
  8. Wieland, A. and Wallenburg, C. M. (2012). Dealing with supply chain risks: Linking risk management practices and strategies to performance. Int. Journal of Physical Distribution & Logistics Mngmt, 42(10).
Download


Paper Citation


in Harvard Style

Ponsard C., De Landtsheer R., Ospina G., Printz S. and von Cube J. (2016). Query-based Risks Management of Manufacturing Processes . In Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-199-1, pages 339-344. DOI: 10.5220/0006011103390344


in Bibtex Style

@conference{simultech16,
author={Christophe Ponsard and Renaud De Landtsheer and Gustavo Ospina and Stephan Printz and Johann Philipp von Cube},
title={Query-based Risks Management of Manufacturing Processes},
booktitle={Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2016},
pages={339-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006011103390344},
isbn={978-989-758-199-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Query-based Risks Management of Manufacturing Processes
SN - 978-989-758-199-1
AU - Ponsard C.
AU - De Landtsheer R.
AU - Ospina G.
AU - Printz S.
AU - von Cube J.
PY - 2016
SP - 339
EP - 344
DO - 10.5220/0006011103390344