检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]西南交通大学交通运输与物流学院,成都610031 [2]西南交通大学经济管理学院物流与应急管理研究所,成都610031
出 处:《交通运输系统工程与信息》2013年第1期169-178,共10页Journal of Transportation Systems Engineering and Information Technology
基 金:国家自然科学基金重大研究计划项目(90924012);国家自然科学基金(70771094);教育部新世纪优秀人才支持计划资助项目(NCET-10-0706);四川省青年科技基金(09ZQ026-021);四川省学术和技术带头人培养资金项目(川人社办发[2011]441号);中央高校基本科研业务费专项资金资助项目(SWJTU11CX152)
摘 要:基于血液的生理特性及应急保障特性,以应急血液最晚运达时间最小、接收时的最低新鲜度最大、运输总费用最小为目标,建立考虑多品种、多式联运的应急血液调剂出救点选择,即运输路线安排问题两阶段决策优化模型,并设计了一种包含局部邻域优化的遗传,即禁忌混合算法进行求解.以"5.12"汶川大地震应急血液保障为背景构建算例,分析验证了两阶段决策方法在最晚抵达时间、新鲜度均值、运输总费用、血液积压量等指标上的优越性.Considering the physiological and emergency supply characteristics of blood, as well as muhi- type blood and multi-modal transportation mode, a combined optimization model for emergency service facility selection and transportation routing problem in emergency blood supply is developed based on a two- phase decision-making approach. The aim is to minimize the last arrival time, maximize the lowest average freshness when received, and minimize the total transportation cost of emergency blood. A hybrid genetic- tabu algorithm with local neighborhood search is also proposed. The model and algorithm are verified by a numerical example based on the emergency blood supply process in ' 5.12' Wenchuan earthquake in China. The results show that the advantage of two-phase decision-making approach is confirmed on the indexes such as the last arrival time, the average freshness, the total transportation cost and the overstock of blood.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.80