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.