Research on Optimization of Cold Chain Logistics Network of Fresh Agricultural Products in Large Chain Supermarket

DOI

10.2991/ncce-18.2018.116How to use a DOI?

Keywords

Cold Chain Logistics; Network Optimization; Bi-level Programming; Genetic Algorithm.

Abstract

This paper analyzes the content of the cold chain logistics network optimization of fresh agricultural products in large supermarket chain and constructs an optimization model based on double layer programming. The upper model is the total cost optimization model of the cold chain logistics network, and the lower layer model is the customer time satisfaction optimization model. The improved genetic algorithm is used to solve the bi-level programming model, and the case study of the large supermarket chain Y is carried out.

Copyright

© 2018, 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  - Lu Zhou
AU  - Huijun Wen
PY  - 2018/05
DA  - 2018/05
TI  - Research on Optimization of Cold Chain Logistics Network of Fresh Agricultural Products in Large Chain Supermarket
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 704
EP  - 711
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.116
DO  - 10.2991/ncce-18.2018.116
ID  - Zhou2018/05
ER  -