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Abstract：
There are grey factors in VRP of Reverse logistics, which are helpful to improve practicability of optimization result. In this paper, an uncertain programming VRP model with grey recycling demand in Reverse Logistics is proposed, and grey chance-constrained programming and particle swarm optimization are combined to resolve it. The results of example show that the model and algorithm are effective for dealing with the grey recycling demand in VRP of Reverse logistics. © 2010 IEEE.
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Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
Year： 2010
Page： 166-169
Language： English
Cited Count：
SCOPUS Cited Count： 3
ESI Highly Cited Papers on the List： 0 Unfold All
WanFang Cited Count：
Chinese Cited Count：
30 Days PV： 5
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