SCHEDULING ALGORITHM BASED ON FOLLOW-UP SHARING CHARACTER FOR POST-EVENT RESPONSE RESOURCE DISTRIBUTION IN LARGE-SCAL DISASTERS  

作　　者：Yong Ye Nan Liu Guiping Hu Shalei Zhan 

机构地区：[1]Department of Management, College of Humanities and Management, Wenzhou Medical University, Wenzhou, 325035, P.R. China [2]Department of Management Sciences & Engineering, School of Management, Zhejiang University, Hangzhou, 310058, P.R. China [3]Industrial and Manufacturing Systems Engineering, 3014 Black Engineering, Iowa State University, Ames, IA 50011 [4]School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, 310058, P.R. China

出　　处：《Journal of Systems Science and Systems Engineering》2016年第1期77-101,共25页系统科学与系统工程学报（英文版）

基　　金：Acknowledgments This work is supported by the National Natural Science Foundation of China （Grant Nos. 71471162 and 71302033）, Humanities and Social Sciences Foundation of Ministry of Education of China （Grant No. 15YJCZH211） and Zhejiang Provincial Natural Science Foundation of China （Grant No. LQ 16G010005） The authors are extremely grateful to the editor and the anonymous reviewers for their insightful comments and valuable suggestions.

摘　　要：Post-event response planners must develop effective and efficient plans for the proper allocation and distribution of resources to impacted areas （IAs） within a critical time window. To determine the effectiveness and efficiency of distribution plans, this study addresses resource allocation effectiveness losses （RAEL, or losses caused by the mismatch between supply and demand in IAs） and emergency logistics time costs （ELTC, or transportation time of logistics processes under emergency conditions）. Moreover, this study examines a follow-up sharing character （FSC） that coordinates resources among different phases. This research proposes an integrated model （IM） based on this character. This model aims to minimize RAEL and ELTC. Furthermore, the IM combines the time dimension model （TDM）, which coordinates the demands and supplies of all phases in the planning horizon, and the space dimension model （SDM）, which generates a specific distribution plan for the first phase. An analytical solution is obtained for the TDM as per the definition of FSC, after which the SDM is solved through a single-objective linear programming model. After solving the IM effectively, we fred that the proposed methodology fits the emergency circumstance well. Insights derived from the model are also presented in the conclusion.）Post-event response planners must develop effective and efficient plans for the proper allocation and distribution of resources to impacted areas （IAs） within a critical time window. To determine the effectiveness and efficiency of distribution plans, this study addresses resource allocation effectiveness losses （RAEL, or losses caused by the mismatch between supply and demand in IAs） and emergency logistics time costs （ELTC, or transportation time of logistics processes under emergency conditions）. Moreover, this study examines a follow-up sharing character （FSC） that coordinates resources among different phases. This research proposes an integrated model （IM） based on this character. This model aims to minimize RAEL and ELTC. Furthermore, the IM combines the time dimension model （TDM）, which coordinates the demands and supplies of all phases in the planning horizon, and the space dimension model （SDM）, which generates a specific distribution plan for the first phase. An analytical solution is obtained for the TDM as per the definition of FSC, after which the SDM is solved through a single-objective linear programming model. After solving the IM effectively, we fred that the proposed methodology fits the emergency circumstance well. Insights derived from the model are also presented in the conclusion.）

关 键 词：Emergency management humanitarian logistics DECISION-MAKING resource distribution 

分 类 号：TP333[自动化与计算机技术—计算机系统结构] P96[自动化与计算机技术—计算机科学与技术]