基于转运延误风险的多方式协同货运载运工具配置优化

doi:10.13229/j.cnki.jdxbgxb20180451

Abstract

Abstract:

From the perspective of the transshipment delay risks of multimodal coordinated freight transport in nodes, this paper analyzes the coordination and optimization of multimodal coordinated freight vehicle allocation from the perspective of transshipment delay risks in transport node. With the comprehensive analysis of the risk factors of transshipment in multimodal coordinated freight transport node, the entropy weight method is used to evaluate the transshipment delay risks. The optimization model of multimodal coordinated freight transport vehicle allocation is built on the basis of considering the transshipment delay risks, and the NSGA-II algorithm is proposed to solve the optimization model. Finally, a computation example is given to analyze the effect of the allocation optimization of multimodal coordinated freight transport based on the transshipment delay risks.

Key words: engineering of communications and transportation system, multimodal coordinated freight transport, optimum allocation, transshipment delay risks, vehicles

CLC Number:

Hai-bo LONG,Jia-qi YANG,Xue-yu ZHAO. Optimizing vehicles allocation of multimodal coordinated freight transport based on transshipment delay risks[J].Journal of Jilin University(Engineering and Technology Edition), 2019, 49(5): 1492-1499.

Figures/Tables 6

Table 1

Table 2

Table 3

Table 4

Allocation example parameter value for multi-mode collaborative freight carrier"

参数取值	区段1	区段2	区段3	区段4
C_i	1	60	120	30
R_i	0.05	0.01	0.03	0.01
D_i	20	20	20	20
G_i	1	50	100	5
tt_i	0.2	8	12	2
T_i	4	6	8	2
$t i r$	3	5	7	2

Table 4

Fig.1

Table 5

References 12

1	VilkoJ P P, HallikasJ M. Risk assessment in multimodal supply chains[J]. International Working Seminar on Production Economics, 2012, 140(2): 586-595.
2	MohammadiM, JulaP, Tavakkoli-MoghaddamR. Design of a reliable multi-modal multi-commodity model for hazardous materials transportation under uncertainty[J]. European Journal of Operational Research, 2017, 257(3): 792-809.
3	TalaricoL, ReniersG, SörensenK, et al. MISTRAL: a game-theoretical model to allocate security measures in a multi-modal chemical transportation network with adaptive adversaries[J]. Reliability Engineering & System Safety, 2015, 138: 105-114.
4	JansenB, SwinkelsP C J, TeeuwenG J A, et al. Operational planning of a large-scale multi-modal transportation system[J]. European Journal of Operational Research, 2004, 156(1): 41-53.
5	帅斌，黄丽霞. 危险货物运输风险评估研究动态[J]. 中国安全科学学报， 2014， 24(7): 50-56.
	BinShuai, HuangLi-xia. Developments in research on assessment of risk in hazardous materials transportation[J]. China Safety Science Journal, 2014， 24(7): 50-56.
6	XieY, LuW, WangW, et al. A multimodal location and routing model for hazardous materials transportation[J]. Journal of Hazardous Materials, 2012(227/228): 135-141.
7	郭丰润，韩文涛，魏毓. 危险品运输方式优化研究[J].中国安全生产科学技术， 2013， 9(2)： 126-129.
	GuoFeng-run, HanWen-tao, WeiYu. Research on optimization for transportation way of hazardous materials[J]. Journal of Safety Science and Technology, 2013, 9(2): 126-129.
8	GuimarãesA G, MaiaA D G. Challenges and innovation opportunities in load multimodal transport-LMT in brazil: cluster technique application as a support tool for decision making[J]. Transportation Research Procedia, 2017, 25: 870-887.
9	ZhuL, Guner-OzbekM D, YanH. A study of liabilities of multimodal transport operators in China[J].Research in Transportation Economics, 2012, 35(1): 58-65.
10	王清斌, 韩增霞, 计明军. 基于节点作业随机特征的集装箱多式联运路径优化[J].交通运输系统工程与信息, 2011, 11(6): 137-144.
	WangQing-bin, HanZeng-xia, JiMing-jun. Path optimization of container multimodal transportation based on node operation randomness[J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 11(6): 137-144.
11	HaoC, YueY. Optimization on combination of transport routes and modes on dynamic programming for a container multimodal transport system[J]. Procedia Engineering, 2016, 137: 382-390.
12	SeoY J, ChenF, RohS Y. Multimodal transportation: the case of laptop from chongqing in China to rotterdam in europe[J]. Asian Journal of Shipping and Logistics, 2017, 33(3): 155-165.

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一级指标	二级指标	三级指标
转运计划风险	载运工具配置风险	载运工具数量不足
		载运工具吨位不足
		载运工具容积不足
	转运路径规划风险	路径规划错误
		路径规划迂回、重复
		路径可达性效果不佳
	转运时刻编制风险	发车频率
		转运时间
		发车延迟
	转运作业计划风险	货运分配不合理
	转运作业计划风险	货运效率不匹配
转运作业风险	人员操作风险	技术经验
		生理状况
		心理素质
	转运设备故障风险	设备技术状况差
	转运设备故障风险	零件损坏
	转运环境风险	恶劣自然环境
		恶劣交通环境
		恶劣装卸环境
	转运管理风险	规章制度
		组织结构
		培训制度
转运商务风险	单证流转风险	单证缺失
		单证错误
		单证不规范
	口岸报关风险	信息资料不全
		税费漏缴
		报关耗时过长
	查验风险	查验不合格
	查验风险	查验时间过长
	审核风险	许可证不合格
	审核风险	审验时间过长

一级指标	二级指标	三级指标
转运计划风险	载运工具配置风险	载运工具周转量
	转运路径规划风险	路径规划下运行时间
	转运时刻编制风险	转运站停留时间
	转运作业计划风险	货运分配效率
转运作业风险	人员操作风险	人员综合效率
	转运设备故障风险	设备损坏几率
	转运环境风险	恶劣环境评价（由之前3个指标加权整合）
	转运管理风险	管理效率（由之前3个指标加权整合）
转运商务风险	单证流转风险	单证不可解读效率
	口岸报关风险	规定时间内报关通过率
	查验风险	额定时间内查验合格率
	审核风险	额定时间内许可证审核合格率

指标	节点	分配数量
各区段运力资源配置量	n₁	120
	n₂	3
	n₃	2
	n₄	10
优化目标	运力总规模	840
优化目标	转运延误风险	6.19

Optimizing vehicles allocation of multimodal coordinated freight transport based on transshipment delay risks

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