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Journal of Intelligent Manufacturing

Erschienen in:

26.11.2014

Dispatching medical supplies in emergency events via uncertain programming

verfasst von: Hui Li, Jin Peng, Shengguo Li, Chuang Su

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 3/2017

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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.

Vorheriger Artikel An interactive satisficing approach for multi-objective optimization with uncertain parameters

Nächster Artikel Uncertain linear regression model and its application

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Titel: Dispatching medical supplies in emergency events via uncertain programming
verfasst von: Hui Li
Jin Peng
Shengguo Li
Chuang Su
Publikationsdatum: 26.11.2014
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 3/2017
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-014-1008-2

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