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.
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Acknowledgments
This work is supported by the Projects of the Humanity and Social Science Foundation of Ministry of Education of China (No. 13YJA630065), the Key Project of Hubei Provincial Natural Science Foundation (No. 2012FFA065), and the Scientific and Technological Innovation Team Project (No. T201110) of Hubei Provincial Department of Education, the Fundamental Research Funds for the Central Universities (No. 31541411209), China.
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Li, H., Peng, J., Li, S. et al. Dispatching medical supplies in emergency events via uncertain programming. J Intell Manuf 28, 549–558 (2017). https://doi.org/10.1007/s10845-014-1008-2
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DOI: https://doi.org/10.1007/s10845-014-1008-2