政企联合式救灾应急资源优化配置与协同机制研究

项目名称： 政企联合式救灾应急资源优化配置与协同机制研究

项目编号： No.71301154

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 管理科学

项目作者： 王熹徽

作者单位： 中国科学技术大学

项目金额： 20.5万元

中文摘要： 长期以来救灾应急行动主要甚至全部依靠政府，企业的优势未能充分发挥。近年来,国际上特别是美国，开始关注企业在救灾应急中的作用，考虑政企合作协同问题。该领域研究正处于起步阶段，已有成果少。申请人已对该问题进行了探索，取得一些成果，并依此申报该项目。本项目拟建立基于行为特征的标准化救灾应急需求动态模型，以期提高救灾应急需求模式描述的准确度和贴合度；构建（企业-政府-受灾群众）三元体式救灾应急资源配置体系网络架构，以期设计有效的政企联合式资源优化配置策略；研究政府与企业间的协同机制，以期实现政府与企业的异质性组织间协同帕累托改进。通过研究异质性组织之间的协同帕累托改进和三元体式资源供应网络架构等理论问题，为传统二元式供应链研究向三元体式供应网络研究的拓展提供思路，为帕累托改进问题在异质性组织间运用的理论研究奠定基础。有助于建立救灾应急资源优化配置的理论与方法体系，促进应急管理与决策科学的发展。

中文关键词： 灾害管理；供应链管理；应急救援；资源配置；契约协调

英文摘要： For a long time, disaster emergency response operation mainly or totally relies on government, enterprises can hardly bring their superiorities into full play. In recent years, many countries including the USA pay attention to the role of enterprise and begin to consider the issue of cooperation between government and enterprise. As a research field in a fledging period, however, existing research results are rare. Applicant have been carrying out research on this topic for some time and the proposed project is based on some achieved results. This project consists of three parts. The first part is a research on building the standardized model of dynamic relief demand based on behavioral characteristics. This subproject aims to improve the accuracy and conformity of relief demand's mathematical description. The second part is a research on building the network framework of disaster relief supply with service triad theory. This subproject aims to design an effective relief resource allocation strategy while taking both government and enterprise into account. The last part is a research on cooperation mechanism between government and enterprise. This subproject aims to achieve the Pareto improvement between different object-oriented organizations.In theoretical aspect, this project may provide a way to transfer the

英文关键词： disaster management；supply chain management；emergency relief；resource distribution；contract coordination