大规模突发事件应急资源调度的多目标鲁棒优化研究
发布时间：2018-08-05 15:39
【摘要】：为及时有效地控制大规模突发事件的不良影响,考虑应急响应系统中多种应急物资需求呈不确定性的特征,建立最小化总成本和总时间的多目标-两阶段临时配送中心选址和应急资源调度模型。采用相对鲁棒优化方法对模型进行求解,利用区间估计描述不确定性因素,并引入扰动系数和控制参数调节模型的鲁棒性和最优性。数值实验结果表明,该模型能有效解决需求不确定下应急资源调度网络的构建问题,且能保证应急决策良好的鲁棒性。最后,通过分析测算单目标与多目标模型下目标值的结果以及不同控制参数与扰动系数下目标值结果,进一步验证了该模型符合应急响应实际情况。
[Abstract]:In order to control the adverse effects of large-scale emergencies in a timely and effective manner, the characteristics of uncertainty in the requirements of various emergency materials in the emergency response system are considered. A multi-objective-two-stage temporary distribution center location and emergency resource scheduling model is established to minimize total cost and total time. The relative robust optimization method is used to solve the model, and interval estimation is used to describe the uncertain factors, and the robustness and optimality of the disturbance coefficient and control parameter adjustment model are introduced. Numerical results show that the proposed model can effectively solve the problem of constructing emergency resource scheduling network under uncertain demand and can ensure good robustness of emergency decision. Finally, through the analysis of the results of the target values under the single-objective and multi-objective models and the target values under different control parameters and disturbance coefficients, it is further verified that the model accords with the actual situation of emergency response.
【作者单位】： 西安建筑科技大学管理学院;
【基金】：国家自然科学基金(61272458) 陕西省自然科学基金(2014JM9375)
【分类号】：D63;X913
本文编号：2166237
[Abstract]:In order to control the adverse effects of large-scale emergencies in a timely and effective manner, the characteristics of uncertainty in the requirements of various emergency materials in the emergency response system are considered. A multi-objective-two-stage temporary distribution center location and emergency resource scheduling model is established to minimize total cost and total time. The relative robust optimization method is used to solve the model, and interval estimation is used to describe the uncertain factors, and the robustness and optimality of the disturbance coefficient and control parameter adjustment model are introduced. Numerical results show that the proposed model can effectively solve the problem of constructing emergency resource scheduling network under uncertain demand and can ensure good robustness of emergency decision. Finally, through the analysis of the results of the target values under the single-objective and multi-objective models and the target values under different control parameters and disturbance coefficients, it is further verified that the model accords with the actual situation of emergency response.
【作者单位】： 西安建筑科技大学管理学院;
【基金】：国家自然科学基金(61272458) 陕西省自然科学基金(2014JM9375)
【分类号】：D63;X913
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，本文编号：2166237
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