›› 2019, Vol. 31 ›› Issue (2): 225-237.

• 应急管理 • 上一篇    下一篇

考虑救援队伍特征的最优调度策略研究

张淑文, 廖灿, 诸克军, 於世为   

  1. 中国地质大学(武汉)经济管理学院, 武汉 430074
  • 收稿日期:2016-10-13 出版日期:2019-02-28 发布日期:2019-03-07
  • 通讯作者: 张淑文,中国地质大学(武汉)经济管理学院博士研究生
  • 作者简介:张淑文,中国地质大学(武汉)经济管理学院博士研究生;廖灿,中国地质大学(武汉)经济管理学院博士研究生;诸克军,中国地质大学(武汉)经济管理学院教授,博士;於世为,中国地质大学(武汉)经济管理学院教授,博士生导师,博士
  • 基金资助:

    国家自然科学基金项目(71473232;71573237);教育部人文社科研究规划基金项目(15YJA630019);中央高校基本科研业务专项资金项目(1610491T12)

Optimal Scheduling Strategy with Emergency Rescue Team's Characteristics Taken into Consideration

Zhang Shuwen, Liao Can, Zhu Kejun, Yu Shiwei   

  1. School of Economics and Management, China University of Geosciences, Wuhan 430074
  • Received:2016-10-13 Online:2019-02-28 Published:2019-03-07

摘要:

救援队伍作为一类特殊的应急资源,在灾害救援中发挥着至关重要的作用。针对传统指派模型的不足,建立了一个考虑救援队伍特征的集成优化模型。首先,定义了救援队伍的属性,并引入救援队伍与灾情相匹配的效用矩阵,满足受灾点对不同能力救援队伍的需求;其次根据“Burden-Benefit accord”原则提出了灾情优先、距离优先、兼顾灾情和距离三种优先调度策略,探讨救援队伍运送优先级对救援时间和救援效果的影响;然后针对模型编码复杂的问题,设计了相应的非支配排序遗传算法(NSGA-II)对模型进行求解;在此基础上通过C-METRIC指标和模糊逻辑方法选取最佳调度方案;最后,以汶川地震的应急救援情况构造了两组算例,结果表明:在应急调度过程中考虑救援队伍特征是合理的,并且采用优先调度策略的效果明显优于其他方案,但具体采用何种优先调度策略要根据不同灾情允许的最大救援时间来确定。

关键词: 救援队伍, 调度策略, 多目标优化, 非支配排序遗传算法(NSGA-II), 应急管理

Abstract:

As a kind of special emergency resource, rescue workers play an important role in disaster relief. In order to overcome the defects of traditional assignment models, a multi-objective model is proposed with the rescue team's characteristics taken into consideration. Firstly, based on the definition of rescue team's attributes, a utility matrix is developed to meet the disaster needs of different rescue teams. Secondly, three priority scheduling strategies are defined in accordance with the principle of "Burden-Benefit accord", and the influence of three priority scheduling strategies on rescue time and rescue effect are analyzed. Furthermore, the designed NSGA-Ⅱ, CMETRIC and fuzzy logic methods are developed to solve the above model. Finally, a case of emergency rescue in Wenchuan earthquake is conducted to illustrate the efficiency and advantages of the proposed method. The results show that in the process of disaster relief, it is reasonable that considering the characteristics of rescue team, and the three priority scheduling strategies outperform the others, however, which of these three priority strategies is most appropriate for the specific disaster situation depends on the maximum rescue time allowed by the disaster.

Key words: rescue team, scheduling strategy, multi objective optimization, non dominated sorting genetic algorithm (NSGA II), emergency management