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[1]陈伟炯,董雯玉,李咪静,等.基于马尔科夫链-多目标模型的应急供应链决策优化研究*[J].中国安全生产科学技术,2022,18(7):19-25.[doi:10.11731/j.issn.1673-193x.2022.07.003]
　CHEN Weijiong,DONG Wenyu,LI Mijing,et al.Research on decision-making optimization of emergency supply chain based on Markov chain and multi-objective model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(7):19-25.[doi:10.11731/j.issn.1673-193x.2022.07.003]
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基于马尔科夫链-多目标模型的应急供应链决策优化研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年7期
页码:
19-25
栏目:
学术论著
出版日期:
2022-07-31

文章信息/Info

Title:
Research on decision-making optimization of emergency supply chain based on Markov chain and multi-objective model
文章编号:
1673-193X(2022)-07-0019-07
作者:
陈伟炯; 董雯玉; 李咪静; 张善杰; 李晓恋; 康与涛
（1.上海海事大学 物流科学与工程研究院,上海 201306；
2.上海海事大学 物流供应链风险控制研究中心，上海 201306；
3.上海海事大学 海洋科学与工程学院，上海 201306)
Author(s):
CHEN Weijiong;  DONG Wenyu;  LI Mijing;  ZHANG Shanjie;  LI Xiaolian;  KANG Yutao
(1.Institute of Logistics Science and Engineering,Shanghai Maritime University,Shanghai 201306,China;
2.Logistics and Supply Chain Risk Control Research Center,Shanghai Maritime University,Shanghai 201306,China;
3.School of Marine Science and Engineering,Shanghai Maritime University,Shanghai 201306)
关键词:
应急供应链风险; 离散时间马尔科夫链; 多目标规划; 改进自适应NSGA-Ⅱ算法
Keywords:
emergency supply chain risk;  discrete time Markov chain;  multi-objective programming;  improved self-adaptive Non-dominated Sorting Genetic Algorithm-Ⅱ (NSGA-Ⅱ)
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2022.07.003
文献标志码:
A
摘要:
为应对洪涝、新冠肺炎疫情等突发灾难，提出供应物资满足率最大、供应时间最短、供应成本最低的离散时间马尔科夫链-多目标规划模型（DTMC-MOP），动态地识别、分析、应对应急供应链风险；采用改进自适应NSGA-Ⅱ算法求解优化模型，并通过标准测试函数进行测试与评价，验证模型的可行性和有效性；通过算例分析，获得精度更高、分布更均匀的Pareto最优前沿。研究结果表明：决策者可以依据应急管理核心目标或不同偏好选择相适应的应急方案，研究结果可为应急供应链决策优化提供1种科学方法，对保障灾民生命安全、维护社会和谐稳定具有积极意义。
Abstract:
In order to cope with the sudden disasters such as floods,COVID-19,etc.,a discrete time Markov chain and multi-objective programming model (DTMC-MOP) with the maximum supply satisfaction rate,the shortest supply time and the lowest supply cost was proposed to dynamically identify,analyze and respond to the emergency supply chain risk.The improved self-adaptive Non-dominated Sorting Genetic Algorithm-Ⅱ (NSGA-Ⅱ) was used to solve the optimization model,and the feasibility and effectiveness of the model were verified by testing and evaluation with standard test functions.Through the example analysis,the Pareto optimal front with higher precision and more uniform distribution was obtained.The results showed that the decision-maker could choose the appropriate emergency scheme based on the core objective of emergency management or different preferences.It provide a scientific method for the decision-making optimization of emergency supply chain,which has positive significance for ensuring the life safety of victims and maintaining the social harmony and stability.

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备注/Memo

备注/Memo:
收稿日期： 2021-12-19
*基金项目： 国家自然科学基金项目(52004158)
作者简介： 陈伟炯，硕士，教授，主要研究方向为物流安全与应急供应链风险控制。
通信作者： 董雯玉，硕士研究生，主要研究方向为物流安全与应急供应链风险控制。
更新日期/Last Update: 2022-08-10