中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (3): 90-95.doi: 10.16265/j.cnki.issn1003-3033.2018.03.016

• 安全工程技术科学 • 上一篇    下一篇

考虑中断情景与防御的应急物资储备库LIP模型

李志1 教授, 李政祥1, 周愉峰1,2 副教授, 邱晗光2 副教授   

  1. 1 重庆工商大学 重庆市发展信息管理工程技术研究中心, 重庆 400067;
    2 重庆工商大学 商务策划学院, 重庆 400067
  • 收稿日期:2017-12-02 修回日期:2018-02-06 出版日期:2018-03-28 发布日期:2020-11-09
  • 作者简介:李 志 (1965—),男,硕士,教授,主要从事物流系统优化、物流信息化等方面的研究。E-mail:ctbulizhi@foxmail.com。
  • 基金资助:
    国家自然科学基金资助(71702015, 71602014); 教育部人文社会科学研究项目(15XJC630009); 重庆工商大学科研平台开放课题(KFJJ2016029, KFJJ2017060)。

A LIP model considering disruption scenarios and fortification for relief supplies reserve bases

LI Zhi1, LI Zhengxiang1, ZHOU Yufeng1,2, QIU Hanguang2   

  1. 1 Chongqing Engineering Technology Research Center for Information Management in Development, Chongqing Technology and Business University, Chongqing 400067, China;
    2 School of Business Planning, Chongqing Technology and Business University, Chongqing 400067, China
  • Received:2017-12-02 Revised:2018-02-06 Online:2018-03-28 Published:2020-11-09

摘要: 为提高应急物资保障能力,研究应急物资储备库的网络优化设计问题。在传统的可靠性设施选址问题(RFLP)与选址-库存问题(LIP)研究基础上,考虑中断情景、设施设防、设施容量限制、物资批量采购折扣等因素,建立应急物资储备库的LIP双目标优化模型;设计一个改进的非支配排序遗传算法(NSGAII)以求解该模型;以地震灾害应急物资储备库建设为例进行算例分析。结果表明:用所设计的算法可得Pareto前沿解集,使决策者可根据实际需要权衡时效性与经济性目标,从一簇Pateto解中选择合适的优化决策方案。

关键词: 应急物资, 选址-库存问题(LIP), 设施中断, 可靠性设施选址问题(RFLP), 非支配排序遗传算法(NSGAII)

Abstract: For the sake of improving the relief supplies support ability, optimization of relief supplies reserve bases network design was studied. A LIP model, considering disruption scenarios, fortification, capacity constraints and purchase discount, was built for relief supplies reserve bases on the basis of traditional RFLP and LIP researches. A NSGA-II based on niche technique was proposed to solve the model. A numerical example of relief supplies reserve bases construction for earthquake disaster indicates that a Pareto front solution set can be obtained solving the model by designed algorithm, from which the decision-makers may choose optimal decision schemes according to the actual needs.

Key words: relief supplies, location-inventory problem(LIP), facility disruptions, reliable facility location problem(RFLP), non-dominated sorting genetic algorithm(NSGAII)

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