基于云服务的应急资源布局模型与分配策略
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摘要
将云服务应用到应急供应链的物流运作中,研究动态、高效的应急资源布局模型及相关协调理论问题。在考虑应急救援的应急资源效用最大化、资源点建设成本最低以及需求点资源供应的公平性三个目标的基础上,建立传统的应急资源布局模型,并且将传统应急资源的离散化要素整体化,构建基于云服务的应急资源布局模型。通过算例进行了验证,提出应急资源最优分配策略,为突发事件和自然灾害的救灾和救援工作提供更有利的支持和帮助。
The Cloud Services are first used in the rescue and logistics operation work of emergency supply chain. And it is used to studyhighly effective,large-scale patulous and dynamic emergency resource layout and scheduling model. A traditional emergency resource layout model( TERL) is developed by considering the three goals of maximizing emergency resource efficiency,minimizing construction cost of resource supply sites,and maximizing fairness of resource supply. With integrating isolated elements of the traditional emergency resources,a cloud service-based emergency resource layout model( CSERL) is presented.Several numerical examples are testified to reveal the beststrategy for allocating emergency resources based on changes of fairness and satisfaction in demand. Management strategies are suggested for emergency resource layout practices,which will provide better assistant and help rescue works in emergency events and natural disasters.
The Cloud Services are first used in the rescue and logistics operation work of emergency supply chain. And it is used to studyhighly effective,large-scale patulous and dynamic emergency resource layout and scheduling model. A traditional emergency resource layout model( TERL) is developed by considering the three goals of maximizing emergency resource efficiency,minimizing construction cost of resource supply sites,and maximizing fairness of resource supply. With integrating isolated elements of the traditional emergency resources,a cloud service-based emergency resource layout model( CSERL) is presented.Several numerical examples are testified to reveal the beststrategy for allocating emergency resources based on changes of fairness and satisfaction in demand. Management strategies are suggested for emergency resource layout practices,which will provide better assistant and help rescue works in emergency events and natural disasters.
引文
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[2]UKKUSURI S V,YUSHIMITO W F.Location routing approach for the humanitarian prepositioning problem[J].Journal of the Transportation Research Record,2008,2089(6):18-25.
[3]CAMPBELL A M,JONES P C.Prepositioning supplies in preparation for disasters[J].European Journal of Operational Research,2011,209(2):156-165.
[4]AN Shi,CUI Na,LI Xiaopeng,et al.Location planning for transit-based evacuation under the risk of service disruptions[J].Transportation Research Part B:Methodological,2013,54:1-16.
[5]SHEU Jiuh-Biing,PAN Cheng.A method for designing centralized emergency supply network to respond to large-scale natural disasters[J].Transportation Research Part B:Methodological,2014,67:284-305.
[6]KASSAHUN A,HARTOG R J M,SADOWSKI T,et al.Enabling chain-wide transparency in meat supply chains based on the EPCIS global standard and cloud-based services[J].Computers and Electronics in Agriculture,2014,109:179-190.
[7]GARG N,VIJAY R.loud architecture for the logistics business[J].Procedia Computer Science,2015,50:414-420.
[8]何新华,胡文发,周溪召,等.震后应急供应问题与交通路网的协同优化模型[J].中国管理科学,2017,25(4):104-114.
[9]HE Xinhua,HU Wenfa.Modeling relief demands in an emergency supply chain system under large-scale disasters based on a queuing network[J/OL].The Scientific World Journal,http:∥dx doi.org/10.1155/2014/195053.
[10]HE Xinhua,HU Wenfa.A two-stage queue model to optimize layout of urban drainage system considering extreme rainstorms[J].Mathematical Problems in Engineering,2017(3):1-19.
[11]FIEDICH F,GEHBAUER F,RICKERS U.Optimized resource allocation for emergency response after earthquake disasters[J].Safety Science,2000,35:41-57.