Imperial College London
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DrMichel-AlexandreCardin

Faculty of Engineering, Dyson School of Design Engineering

Senior Lecturer in Computational Aided Engineering
 
 
 
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Contact

 

+44 (0)20 7594 1893m.cardin Website CV

 
 
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Location

 

Royal College of Science Observatory Building, Room 1M03Dyson BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zhang:2017:10.1016/j.tre.2017.09.003,
author = {Zhang, S and Cardin, M-A},
doi = {10.1016/j.tre.2017.09.003},
journal = {Transportation Research Part E: Logistics and Transportation Review},
pages = {120--140},
title = {Flexibility and real options analysis in emergency medical services systems using decision rules and multi-stage stochastic programming},
url = {http://dx.doi.org/10.1016/j.tre.2017.09.003},
volume = {107},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A novel approach to EMS infrastructure systems design, planning, and operations under long-term uncertainty is introduced based on multi-stage stochastic programming and decision rules, accounting for strategic flexibility (also known as real options – RO). Different from standard RO analysis, the approach mimics real-world decision-making by exercising flexibility based on conditional-go decision rules. The objective is to minimize the expected total costs over the system’s life cycle, and the outputs are the optimal initial configuration and decision rules. A flexible solution provides lower expected cost than stochastically optimal rigid solutions, especially valuable when required incident coverage rate is >95%.
AU  - Zhang,S
AU  - Cardin,M-A
DO  - 10.1016/j.tre.2017.09.003
EP  - 140
PY  - 2017///
SN  - 1366-5545
SP  - 120
TI  - Flexibility and real options analysis in emergency medical services systems using decision rules and multi-stage stochastic programming
T2  - Transportation Research Part E: Logistics and Transportation Review
UR  - http://dx.doi.org/10.1016/j.tre.2017.09.003
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000413388600007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/65574
VL  - 107
ER  -
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