Léa Deleris
Research Statement
My research interests are in probabilistic risk analysis and decision analysis. My research focuses on applying engineering risk analysis techniques to the business world. I worked on several projects aimed at assessing and managing the risk of supply chains, be they single product supply chain or large supply networks. My dissertation study is about strategic warnings: how to identify threats to a company strategy and how to make use of precursors to anticipate them. Over my graduate career, I have received support from the McMurty Fellowship in Risk Engineering and from a laboratory grant from General Motors.
Publications
Deleris, L. A., G. L. Yeo, A. Seiver and M.E. Paté-Cornell. (2004). Engineering Risk Analysis of a Hospital Oxygen Supply System. Submitted to Medical Decision Making Deleris L. A., D. A Elkins, and M.E. Paté-Cornell. (2004). Analyzing Losses From Hazard Exposure: A Conservative Probabilistic Estimate Using Supply Chain Simulation. Accepted for Publication in 2004 Winter Simulation Conference Proceedings, Washington, D.C. Deleris L. A., F. Erhun, and M.E. Paté-Cornell. (2004). Quantitative Risk Assessment of Supply Chain Performance. Submitted to Manufacturing and Services Operations Management. E-mail: ldeleris@Stanford.EDU
