Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

Robust optimization for location-routing problem with stochastic demand under facilities failure risk

Authors
Huali Sun, Quanyi Cui, Yaofeng Xue
Corresponding Author
Huali Sun
Available Online December 2015.
DOI
10.2991/icmse-15.2015.6How to use a DOI?
Keywords
emergency rescue system, facilities failure, robust optimization
Abstract

Relief distribution is one of the key steps for emergency response after a major public emergency. Relief commodities requirements of demand node are presented intervals based on robust optimization. The facilities failure risk is processed by stochastic programming. The model of emergency location-routing problem is developed to minimize the total transportation time. An improved genetic algorithm is proposed to solve the model. Finally, the validity of the model and algorithm is demonstrated by a numerical example based on earthquake relief distribution.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-137-7
ISSN
2352-5401
DOI
10.2991/icmse-15.2015.6How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Huali Sun
AU  - Quanyi Cui
AU  - Yaofeng Xue
PY  - 2015/12
DA  - 2015/12
TI  - Robust optimization for location-routing problem with stochastic demand under facilities failure risk
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 32
EP  - 36
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.6
DO  - 10.2991/icmse-15.2015.6
ID  - Sun2015/12
ER  -