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文章基本信息

  • 标题:A stochastic location and allocation model for critical items to response large-scale emergencies: A case of Turkey
  • 作者:Erkan Celik ; Nezir Aydin ; Alev Taskin Gumus
  • 期刊名称:An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
  • 印刷版ISSN:2146-5703
  • 出版年度:2017
  • 卷号:7
  • 期号:1
  • 页码:1-15
  • DOI:10.11121/ijocta.01.2017.00300
  • 语种:English
  • 出版社:An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
  • 其他摘要:This paper aims to decide on the number of facilities and their locations, procurement for pre and post-disaster, and allocation to mitigate the effects of large-scale emergencies. A two-stage stochastic mixed integer programming model is proposed that combines facility location- prepositioning, decisions on pre-stocking levels for emergency supplies, and allocation of located distribution centers (DCs) to affected locations and distribution of those supplies to several demand locations after large-scale emergencies with uncertainty in demand. Also, the use of the model is demonstrated through a case study for prepositioning of supplies in probable large-scale emergencies in the eastern and southeastern Anatolian sides of Turkey. The results provide a framework for relief organizations to determine the location and number of DCs in different settings, by using the proposed model considering the main parameters, as; capacity of facilities, probability of being affected for each demand points, severity of events, maximum distance between a demand point and distribution center.
  • 关键词:Emergency response;facility location;large scale emergencies;two stage stochastic programming
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