Supply chain network design based on fuzzy neural network and PSO

Author

Huang, Yuansheng ; Qiu, Zilong ; Liu, Qingchao

Author_Institution

Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding

fYear

2008

fDate

1-3 Sept. 2008

Firstpage

2189

Lastpage

2193

Abstract

This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. After modeling by fuzzy programming, a fuzzy neural network optimized by particle swarm optimization is presented to solve the established model. Through an example, compared with the traditional fuzzy neural network, it is proved that the presented method has advantage in calculation efficiency.

Keywords

costing; fuzzy neural nets; mathematical programming; number theory; particle swarm optimisation; supply chain management; fuzzy neural network; fuzzy numbers; fuzzy programming; operation costs; particle swarm optimization; supply chain network design; Algorithm design and analysis; Costs; Fuzzy neural networks; Material storage; Particle swarm optimization; Raw materials; Stochastic processes; Supply chain management; Supply chains; Uncertainty; Fuzzy Neural Network; Fuzzy Programming; PSO; Supply Chain Network Design; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-2502-0

Electronic_ISBN

978-1-4244-2503-7

Type

conf

DOI

10.1109/ICAL.2008.4636527

Filename

4636527