Dispatching medical supplies in emergency events via uncertain programming

Hui Li, Jin Peng, Shengguo Li () and Chuang Su
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Hui Li: Hubei University
Jin Peng: Huanggang Normal University
Shengguo Li: Huanggang Normal University
Chuang Su: Shanghai Normal University

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 3, No 6, 549-558

Abstract: Abstract This paper employs uncertain programming to deal with a problem of dispatching medical supplies in emergency events. As we know, the highly unpredictable nature of emergencies and the severity of the accident may lead to uncertainty both in demands and running times. Under this condition, the demands and running times are supposed to be uncertain variables. Within the framework of uncertain programming, two mathematical models are constructed. In addition, some properties of the models are also discussed. Moreover, a hybrid intelligent algorithm for solving the proposed models in general cases is designed. Finally, some numerical examples are also presented to illustrate the optimization ideas and the effectiveness of the proposed algorithm.

Keywords: Uncertainty theory; Uncertain programming; Uncertain measure; Dispatching medical supplies; Emergency event (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10845-014-1008-2

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