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作 者:龙海波 杨家其[1] 尹靓[1] 赵学彧 向子权 LONG Hai-bo;YANG Jia-qi;YIN Liang;ZHAO Xue-yu;XIANG Zi-quan(School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China;School of Economics and Management,Hubei University of Education,Wuhan 430205,China)
机构地区:[1]武汉理工大学交通与物流工程学院,武汉430063 [2]湖北第二师范学院经济与管理学院,武汉430205
出 处:《吉林大学学报(工学版)》2023年第4期1078-1084,共7页Journal of Jilin University:Engineering and Technology Edition
基 金:国家自然科学基金项目(51979214);吉林省交通科技项目(103-46160101)。
摘 要:针对应急物资配送决策具有不确定性和突然性等特点,提出了一种基于多目标鲁棒优化不确定需求下的应急物资配送决策模型。在分析应急需求的随机性、应急物流设施点的需求不确定风险和路网中断风险的因素上,确定了以物资需求点的救援时间满意度之和最大、系统总成本最小以及物资到达需求点的救援时间之和最小为目标,构建了多目标鲁棒优化模型,并运用Matlab软件求解。以一个山区发生自然灾害作为突发事件为例,验证了多目标鲁棒优化模型的有效性和正确性。研究结果表明:不确定需求下应急物资配送中,决策者可以依据本文多目标鲁棒优化模型权衡利弊,制定出既具有应对风险能力,又能快速反应的救援方案。Aiming at the uncertainty and suddenness of emergency material distribution decision-making,a multi-objective robust optimization-based emergency material distribution decision model under uncertain demand is proposed.Based on the analysis of the randomness of emergency demand,the demand uncertainty risk of emergency logistics facilities and the risk on road network interruption,it is determined that maximum sum of satisfaction with the rescue time of the material demand point,minimum the total system cost,and sum of rescue time of the material reaches the demand point as the goal,a multi-objective robust optimization model is constructed and solved by Matlab software.Taking a natural disaster in a mountainous area as an example,the validity and correctness of the multi-objective robust optimization model are verified.The results show that in the distribution of emergency supplies under uncertain demand,decision maker can weigh the pros and cons based on the multi-objective robust optimization model in this paper,and formulate a rescue plan that not only has the ability to deal with risks,but also can respond quickly.
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