Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)

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

Authors
Qi Wang, Jianjun Han
Corresponding Author
Qi Wang
Available Online April 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
Part of series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-328-9
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceesd-17.2017.43How to use a DOI?
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  - 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
PB  - Atlantis Press
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  -