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作 者:胡志华[1,2]
机构地区:[1]同济大学经济与管理学院,上海200092 [2]上海海事大学物流研究中心,上海200135
出 处:《数学的实践与认识》2013年第3期27-32,共6页Mathematics in Practice and Theory
基 金:国家自然科学基金(71101088,60904076,71171129);社科基金重大项目(11&ZD169);中国博士后科学基金一等资助(2011M500077);教育部人文社科一般项目(10YJC630087);教育部博士点基金项目(20113121120002);上海市自然科学基金(10ZR1413200);上海市自然科学基金创新行动计划项目(10190502500,11510501900);上海市教委项目(10YZ115)
摘 要:应急救援的社会化、应急物资需求的多样性、应急物资需求和补给的时变性,对应急物流的配送调度提出了挑战.应急物流的紧急性要求最大程度保障受灾点的物资供应;在经济上则要求应急物流的成本最小化.通过将时间离散化为阶段序列,在应急物资需求和补给是可预测的情况下,建立一个多储备点、多物资品种、单受灾点的应急物资配送的多目标优化模型,来最小化应急物资短缺次数和运输成本.仿真实例表明,该模型可以通过优化引擎快速求解,能够发现导致短缺的应急物资品种和加强供应补给的时间区间.The socialization of emergency rescue, diversity of emergency resource require- ments, time variety of emergency demand and resource replenishment, raise new challenges to emergency logistics. The urgency of emergency logistics demands higher possibility of resource supply to disaster point. Moreover, the cost of emergency logistics should be min- imized in economic view. Through discretizing the plan time into time periods, and in the conditions that the demand and replenishment of emergency resources can be predicted, a multi-objective optimization model with multiple supply points, multiple resource types and single disaster point was proposed for emergency resource distribution to minimize the times of emergency resource shortage and the transport cost. The simulation study shows that the model can be solved quickly by optimization engine, and by analyzing the results of optimization, the resource types of shortage and the supply periods ought to be reinforced can be discovered.
分 类 号:O224[理学—运筹学与控制论]
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