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

DOI

10.2991/iceesd-17.2017.43How to use a DOI?

Keywords

processed grain, emergency reserve, multi-objective, location model, Genetic algorithm

Abstract

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.

Copyright

© 2017, 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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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  - 10.2991/iceesd-17.2017.43
ID  - Wang2017/04
ER  -