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Regional blood supply system optimization under stochastic demand
YU Juan WANG Wenxian ZHONG Qinglun
Journal of Computer Applications    2014, 34 (9): 2585-2589.   DOI: 10.11772/j.issn.1001-9081.2014.09.2585
Abstract201)      PDF (628KB)(419)       Save

Concerning the perspective of supply chain integration, a blood supply model was developed, which aimed to minimize the blood acquisition risk, system operation cost, the punishment for both excessive and insufficient acquisition by the multi-objective programming method. Taking into account the feature that the amount of expired blood is proportional to time, as well as the cost for expired blood processing, a regional supply and demand equilibrium model characterized by stochastic demand of the four types of blood was built. The model was proved to be convex, and the variational inequality of the blood supply and demand network equilibrium was derived. By modified quasi-Newton method, the solutions of the blood supply chain supply and demand equilibrium under stochastic demand condition were obtained. Finally, a case study in Chengdu verified the model's applicability.

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