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author:

Wang, H. (Wang, H..) [1] | Zhang, Q. (Zhang, Q..) [2] | Liu, H. (Liu, H..) [3]

Indexed by:

Scopus

Abstract:

There are various types of grey information in distribution network of supply chain, which are helpful to improve practical usefulness of distribution. In this paper, grey demands existed in supply chain have been discussed, and an optimization model of distribution network with grey demands is proposed. The model is NP-hard, and a hybrid particle swarm optimization algorithm based on grey chance-constrained programming is proposed to solve it. The results of example show that the model and the algorithm are effective for dealing with distribution problem of supply chain with grey demands. © 2011 IEEE.

Keyword:

distribution network; grey chance-constrained programming; grey programming model; particle swarm optimization; supply chain

Community:

  • [ 1 ] [Wang, H.]School of Management, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zhang, Q.]School of Management, Fuzhou University, Fuzhou, China
  • [ 3 ] [Liu, H.]School of Management, Fuzhou University, Fuzhou, China
  • [ 4 ] [Liu, H.]School of Economics and Management, Southeast University, Nanjing, China

Reprint 's Address:

  • [Zhang, Q.]School of Management, Fuzhou University, Fuzhou, China

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Source :

Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services, GSIS'11 - Joint with the 15th WOSC International Congress on Cybernetics and Systems

Year: 2011

Page: 689-692

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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