军民融合背景下无人机配送中心选址问题研究
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摘要
结合"平时服务、急时应急、战时应战"的军民融合战略背景,考虑不同类型的需求点及配送中心,建立了一个以网络总里程最小为目标,以投资预算、规模效益、网络抗毁性等为约束条件的纯整数线性规划模型,据此对无人机配送中心的选址进行决策。算例分析验证了模型的可行性、有效性及大规模问题的适用性。参数分析表明在其他条件不变情况下,网络时效性与投资预算正相关,与规模效益、建设成本和网络抗毁性负相关,决策者需在网络时效性与投资预算、规模效益、建设成本、网络抗毁性之间进行权衡。
Regarding the military-civilian integration strategy of China, and considering different types of demand points and distribution centers, a drone distribution center location model is established with the objective of minimizing the total network mileage and the constraints of investment budget, scale effectiveness and network invulnerability. The results of numerical examples verify the feasibility, validity and the applicability of large-scale problem of the model. The analysis of parameters show that if other conditions are unchanged, network timeliness is positively related to investment budget,and negatively related to scale effectiveness, construction cost and network invulnerability. Decision-makers should weigh the network timeliness against the investment budget, scale effectiveness, construction cost and network invulnerability.
Regarding the military-civilian integration strategy of China, and considering different types of demand points and distribution centers, a drone distribution center location model is established with the objective of minimizing the total network mileage and the constraints of investment budget, scale effectiveness and network invulnerability. The results of numerical examples verify the feasibility, validity and the applicability of large-scale problem of the model. The analysis of parameters show that if other conditions are unchanged, network timeliness is positively related to investment budget,and negatively related to scale effectiveness, construction cost and network invulnerability. Decision-makers should weigh the network timeliness against the investment budget, scale effectiveness, construction cost and network invulnerability.
引文
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[2]Silva M R,Cunha C B.A tabu search heuristic for the uncapacitated single allocation p-hub maximal covering problem[J].European Journal of Operational Research,2017,262(3):954-965.
[3]Hoff A,PeiróJ,Corberán A,et al.Heuristics for the capacitated modular hub location problem[J].Computers and Operations Research,2017,86:94-109.
[4]Gentile J,Pessoa A A,Poss M,et al.Integer programming formulations for three sequential discrete competitive location problems with foresight[J].European Journal of Operational Research,2018:265(3):872-881.
[5]陈义友,张锦,曾倩,等.基于顾客选择的自提点选址双层规划模型[J].管理学报,2016,13(12):1842-1850.
[6]肖建华,王飞,白焕新,等.基于非等覆盖半径的生鲜农产品配送中心选址[J].系统工程学报,2015,30(3):406-416.
[7]赵泉午,赵军平,林娅.基于O2O的大型零售企业城市配送网络优化研究[J].中国管理科学,2017,25(9):159-167.
[8]曾倩,张锦,陈义友.考虑公平与效率目标的城乡配送中心排队选址模型[J].交通运输系统工程与信息,2016,16(2):183-190.
[9]Zhang B,Peng J,Li S.Covering location problem of emergency service facilities in an uncertain environment[J].Applied Mathematical Modelling,2017,51:429-447.
[10]陈刚,付江月.基于NSGAII的应急物流多目标LRP研究[J].软科学,2016,30(4):135-139.
[11]Sharma B,Ramkumar M,Subramanian N,et al.Dynamic temporary blood facility location-allocation during and post-disaster periods[J].Annals of Operations Research,2017,5:1-32.
[12]Zarrinpoor N,Fallahnezhad M S,Pishvaee M S.Design of a reliable hierarchical location-allocation model under disruptions for health service networks:a two-stage robust approach[J].Computers and Industrial Engineering,2017,109:130-150.
[13]谢文龙,魏国强.基于情景分析的军事物流配送中心选址模型[J].计算机工程与应用,2015,51(8):255-259.
[14]李东,晏湘涛,匡兴华.考虑设施失效的军事物流配送中心选址模型[J].计算机工程与应用,2010,46(11):3-6.
[15]Akbari-Jafarabadi M,Tavakkoli-Moghaddam R,Mahmoodjanloo M,et al.A tri-level r-interdiction median model for a facility location problem under imminent attack[J].Computers and Industrial Engineering,2017,114:151-165.