Study on the location of the emergency storage for processed grain based on multi-objective location model--take a direct-controlled municipality as an example
Qi Wang, Jianjun Han
Available Online April 2017.
- https://doi.org/10.2991/iceesd-17.2017.43How to use a DOI?
- processed grain, emergency reserve, multi-objective, location model, Genetic algorithm
- Under the background of the current frequent emergencies, the problem of the processed grain emergency storage has the practical significance and theoretical value. This paper considers the facility location efficiency for processed grain emergency storage and coverage radius demands satisfaction differences, the cost and other factors. This paper builds a multi-objective location model, proposes using genetic algorithm to solve problem and takes a country as an example to demonstrate the proposed model and algorithm. This research could provide certain reference for the location selection of emergency logistics reserve.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qi Wang AU - Jianjun Han PY - 2017/04 DA - 2017/04 TI - Study on the location of the emergency storage for processed grain based on multi-objective location model--take a direct-controlled municipality as an example BT - Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017) PB - Atlantis Press SP - 220 EP - 224 SN - 2352-5401 UR - https://doi.org/10.2991/iceesd-17.2017.43 DO - https://doi.org/10.2991/iceesd-17.2017.43 ID - Wang2017/04 ER -