Stochastic network models for logistics planning in disaster relief
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 906080
- Type
- D - Journal article
- DOI
-
10.1016/j.ejor.2016.04.041
- Title of journal
- European Journal of Operational Research
- Article number
- -
- First page
- 187
- Volume
- 255
- Issue
- 1
- ISSN
- 0377-2217
- Open access status
- Access exception
- Month of publication
- May
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1016/j.ejor.2016.04.041
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This output won the 2018 European Journal of Operational Research (EJOR) Award for the best paper in Innovative Applications of Operational Research published in the journal. It was supported by grants 2013/08303-2 and 1199 2015/26453-7 from the São Paulo State Research Support Foundation (FAPESP), grants 470154/2013-6 and 306237/2014-8 from the Brazilian National Council for Scientific and Technological Development (CNPq), and by the Royal Academy of Engineering , London, via Newton Research Col- laboration Grant NRCP1516/1/54 .
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
