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/).
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 -