物流配送中的绿色车辆路径模型与求解算法研究综述

周鲜成, 周开军, 王莉, 刘长石, 黄兴斌

系统工程理论与实践 ›› 2021, Vol. 41 ›› Issue (1) : 213-230.

PDF(1136 KB)
中国科学院数学与系统科学研究院期刊网
PDF(1136 KB)
系统工程理论与实践 ›› 2021, Vol. 41 ›› Issue (1) : 213-230. DOI: 10.12011/SETP2020-2300
论文

物流配送中的绿色车辆路径模型与求解算法研究综述

    周鲜成1,2, 周开军2, 王莉2, 刘长石2, 黄兴斌1,2
作者信息 +

Review of green vehicle routing model and its algorithm in logistics distribution

    ZHOU Xiancheng1,2, ZHOU Kaijun2, WANG Li2, LIU Changshi2, HUANG Xingbin1,2
Author information +
文章历史 +

摘要

随着绿色物流的发展，绿色车辆路径问题（green vehicle routing problem，GVRP）已引起学界的广泛关注，但关于GVRP最新研究进展的综述文献较少.首先，简要介绍GVRP基础模型和油耗/碳排放的主要测度方法；其次，根据GVRP环境效益优化目标及目标函数的构成，将GVRP模型分为油耗/碳排放最小化VRP、综合成本最小化VRP和多目标VRP三种类型，并从优化目标、油耗/碳排放的影响因素和测度模型，以及约束条件等方面进行分类综述；然后，简要介绍求解GVRP模型的精确算法、启发式算法和元启发式算法，并对应用较为普及的主要元启发式算法进行分析；最后，阐述了即时物流配送、冷链物流配送、电动车物流配送和共同物流配送等GVRP新的应用领域，指出了GVRP理论和方法的发展趋势.

Abstract

As green logistic emerged as a new trend, green vehicle routing problem (GVRP) has received wide attention from related fields, but literature reviews on the latest research of GVRP remain rare. Awared of this fact, this paper is intented to review several typical GVRP models and their solving algorithms. Firstly, an elementary GVRP model and several fuel consumption/carbon emission measuring methods are briefly described. Secondly, according to the optimization of environmental benefit and the composition of objective function, GVRP models are classified into tree types, i.e. fuel consumption/carbon emission minimization VRP, comprehensive cost minimization VRP and multi-objective VRP. Each model is discussed from four aspects, namely optimization objective, factors influencing fuel consumption/carbon emission, measurement models of fuel consumption/carbon emission and constraints. Then, some solving methods about GVRP such as exact algorithms, heuristic algorithms and metaheuristic algorithms are briefly introduced, and several widely used metaheuristic algorithms are analyzed. Finally, through presenting new applications of GVRP in just-in-time logistics distribution, cold chain logistics distribution, electric vehicle logistics distribution and joint logistics distribution, this paper points out the growing trend of theory and practical method of GVRP.

关键词

物流配送 / 绿色车辆路径问题 / 油耗 / 碳排放

Key words

logistics distribution / green vehicle routing problem / fuel consumption / carbon emission

引用本文

EndNote

Ris (Procite)

Bibtex

导出引用
周鲜成 , 周开军 , 王莉 , 刘长石 , 黄兴斌. 物流配送中的绿色车辆路径模型与求解算法研究综述. 系统工程理论与实践, 2021, 41(1): 213-230 https://doi.org/10.12011/SETP2020-2300
ZHOU Xiancheng , ZHOU Kaijun , WANG Li , LIU Changshi , HUANG Xingbin. Review of green vehicle routing model and its algorithm in logistics distribution. Systems Engineering - Theory & Practice, 2021, 41(1): 213-230 https://doi.org/10.12011/SETP2020-2300
中图分类号： F252    U116   

参考文献

[1] 王雁凤,黄有方.考虑碳排放的港口群混合轴辐式运输网络优化[J].北京理工大学学报(社会科学版), 2014, 16(5):42-50. Wang Y F, Huang Y F. Optimization of hybrid hub-and-spoke based port cluster transportation network considering carbon emission[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2014, 16(5):42-50.
[2] Kara I, Kara B Y, Yetis M K. Energy minimizing vehicle routing problem[C]//International Conference on Combinatorial Optimization and Applications. Springer, Berlin, Heidelberg, 2007:62-71.
[3] Bektas T, Laporte G. The pollution-routing problem[J]. Transportation Research Part B:Methodological, 2011, 45(8):1232-1250.
[4] Erdogan S, Miller-Hooks E. A green vehicle routing problem[J]. Transportation Research Part E:Logistics&Transporation, 2012, 48(1):100-114.
[5] Lin C, Choy K L, Ho G T S, et al. Survey of green vehicle routing problem:Past and future trends[J]. Expert Systems with Applications, 2014, 41(4):1118-1138.
[6] 李英,李惠,成琪.基于文献计量和知识图谱的国际绿色车辆路径问题研究发展分析[J].中国管理科学, 2016, 24(11):206-216. Li Y, Li H, Cheng Q. The development analysis of international green vehicle routing problem based on bibliometric and knowledge mapping[J]. Chinese Journal of Management Science, 2016, 24(11):206-216.
[7] Barth M, Younglove T, Scora G. Development of a heavy-duty diesel modal emissions and fuel consumption model[R]. UC Berkeley:California Partners for Advanced Transportation Technology, 2005.
[8] Demir E, BektaşT, Laporte G. A comparative analysis of several vehicle emission models for road freight transportation[J]. Transportation Research Part D:Transport and Environment, 2011, 16(5):347-357.
[9] Demir E, BektaşT, Laporte G. A review of recent research on green road freight transportation[J]. European Journal of Operational Research, 2014, 237(3):775-793.
[10] Suzuki Y. A dual-objective metaheuristic approach to solve practical pollution routing problem[J]. International Journal of Production Economics, 2016, 176(6):143-153.
[11] Hickman A J, Hassel D, Joumard R, et al. Methodology for calculating transport emissions and energy consumption[R]. Transportation Research Laboratory Project Report, 1999.
[12] Kuo Y. Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem[J]. Computers&Industrial Engineering, 2010, 59(1):157-165.
[13] Xiao Y, Zhao Q, Kaku I, et al. Development of a fuel consumption optimization model for the capacitated vehicle routing problem[J]. Computers&Operations Research, 2012, 39(7):1419-1431.
[14] Demir E, BektaşT, Laporte G. The bi-objective pollution-routing problem[J]. European Journal of Operational Research, 2014, 232(3):464-478.
[15] 李进,张江华.基于碳排放与速度优化的带时间窗车辆路径问题[J].系统工程理论与实践, 2014, 34(12):3063-3072.Li J, Zhang J H. Vehicle routing problem with time windows based on carbon emissions and speed optimization[J]. Systems Engineering-Theory&Practice, 2014, 34(12):3063-3072.
[16] Fukasawa R, He Q, Song Y. A disjunctive convex programming approach to the pollution-routing problem[J]. Transportation Research Part B:Methodological, 2016, 94(12):61-79.
[17] Ehmke J F, Campbell A M, Thomas B W. Optimizing for total costs in vehicle routing in urban areas[J]. Transportation Research Part E:Logistics and Transportation Review, 2018, 116(8):242-265.
[18] Peng Y, Zhu H. Optimization of open vehicle route to reduce fuel consumption based on genetic algorithm[C]//ICCTP 2009:Critical Issues In Transportation Systems Planning, Development, and Management. Harbin, China, 2009:1-7.
[19] Figliozzi M. Vehicle routing problem for emissions minimization[J]. Transportation Research Record, 2010, 2197(1):1-7.
[20] Huang Y, Shi C, Zhao L, et al. A study on carbon reduction in the vehicle routing problem with simultaneous pickups and deliveries[C]//Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, Suzhou, China, 2012:302-307.
[21] Kwon Y J, Choi Y J, Lee D H. Heterogeneous fixed fleet vehicle routing considering carbon emission[J]. Transportation Research Part D:Transport and Environment, 2013, 23(8):81-89.
[22] Duan F, He X. Multiple depots incomplete open vehicle routing problem based on carbon tax[M]. Bio-Inspired Computing-Theories and Applications. Springer, Berlin, Heidelberg, 2014:98-107.
[23] Wei L, Zhang Z, Lim A. An evolutionary local search for the capacitated vehicle routing problem minimizing fuel consumption under three-dimensional loading constraints[C]//10th International Conference on Natural Computation. Xiamen, China, 2014:203-208.
[24] Zhang Z, Wei L, Lim A. An evolutionary local search for the capacitated vehicle routing problem minimizing fuel consumption under three-dimensional loading constraints[J]. Transportation Research Part B:Methodological, 2015, 82(12):20-35.
[25] Li H, Yuan J, Lü T, et al. The two-echelon time-constrained vehicle routing problem in linehaul-delivery systems considering carbon dioxide emissions[J]. Transportation Research Part D:Transport and Environment, 2016, 49(12):231-245.
[26] 张春苗,赵燕伟,张景玲,等.低碳定位-车辆路径问题[J].计算机集成制造系统, 2017, 23(12):2768-2777.Zhang C M, Zhao Y W, Zhang J L, et al. Location and routing problem with minimizing carbon[J]. Computer Integrated Manufacturing Systems, 2017, 23(12):2768-2777.
[27] Li J, Wang R, Li T, et al. Benefit analysis of shared depot resources for multi-depot vehicle routing problem with fuel consumption[J]. Transportation Research Part D:Transport and Environment, 2018, 59(3):417-432.
[28] Yu Y, Wang S, Wang J, et al. A branch-and-price algorithm for the heterogeneous fleet green vehicle routing problem with time windows[J]. Transportation Research Part B:Methodological, 2019, 122(4):511-527.
[29] Sun W, Yu Y, Wang J. Heterogeneous vehicle pickup and delivery problems:Formulation and exact solution[J]. Transportation Research Part E:Logistics and Transportation Review, 2019, 125(5):181-202.
[30] Costa P R D O D, Mauceri S, Carroll P, et al. A genetic algorithm for a green vehicle routing problem[J]. Electronic Notes in Discrete Mathematics, 2018, 64(2):65-74.
[31] Alinaghian M, Naderipour M. A novel comprehensive macroscopic model for time-dependent vehicle routing problem with multi-alternative graph to reduce fuel consumption:A case study[J]. Computers&Industrial Engineering, 2016, 99(9):210-222.
[32] Xiao Y, Konak A. The heterogeneous green vehicle routing and scheduling problem with time-varying traffic congestion[J]. Transportation Research Part E:Logistics and Transportation Review, 2016, 88(4):146-166.
[33] Matos S M R, Frota Y, Ochi L S. Green vehicle routing and scheduling problem with split delivery[J]. Electronic Notes in Discrete Mathematics, 2018, 69(8):13-20.
[34] Eshtehadi R, Fathian M, Demir E. Robust solutions to the pollution-routing problem with demand and travel time uncertainty[J]. Transportation Research Part D:Transport and Environment, 2017, 51(3):351-363.
[35] Ehmke J F, Campbell A M, Thomas B W. Vehicle routing to minimize time-dependent emissions in urban areas[J]. European Journal of Operational Research, 2016, 251(2):478-494.
[36] Behnke M, Kirschstein T. The impact of path selection on GHG emissions in city logistics[J]. Transportation Research Part E:Logistics and Transportation Review, 2017, 106(10):320-336.
[37] 赵燕伟,冷龙龙,王舜,等.进化式超启发算法求解多车型低碳选址-路径问题[J].控制与决策, 2020, 35(2):257-271.Zhao Y W, Leng L L, Wang S, et al. Evolutionary hyper-heuristics for low-carbon location-routing problem with heterogeneous fleet[J]. Control and Decision, 2020, 35(2):257-271.
[38] Chen G, Wu X Y, Li J H, et al. Green vehicle routing and scheduling optimization of ship steel distribution center based on improved intelligent water drop algorithms[J]. Mathematical Problems in Engineering, 2020. https://doi.org/10.1155/2020/9839634.
[39] Niu Y, Yang Z, Chen P, et al. Optimizing the green open vehicle routing problem with time windows by minimizing comprehensive routing cost[J]. Journal of Cleaner Production, 2018, 171(1):962-971.
[40] Huang M, Zhang H, Kuang H, et al. Flexible truckload pickup and delivery problem considering reserved orders and fuel consumption[J]. Computers&Industrial Engineering, 2019, 138(12):106117.
[41] Franceschetti A, Honhon D, Woensel T V, et al. The time-dependent pollution-routing problem[J]. Transportation Research Part B:Methodological, 2013, 56(56):265-293.
[42] Franceschetti A, Demir E, Honhon D, et al. A metaheuristic for the time-dependent pollution-routing problem[J]. European Journal of Operational Research, 2017, 259(3):972-991.
[43] 秦进,刘致远.考虑拥堵情形的污染路径问题与求解算法[J].工业工程与管理, 2018, 23(2):23-32.Qin J, Liu Z Y. The pollution routing problem with congestion and its solution algorithm[J]. Industrial Engineering and Management, 2018, 23(2):23-32.
[44] Huang Y, Zhao L, Van Woensel T, et al. Time-dependent vehicle routing problem with path flexibility[J]. Transportation Research Part B:Methodological, 2017, 95(1):169-195.
[45] 周鲜成,刘长石,周开军,等.时间依赖型绿色车辆路径模型及改进蚁群算法[J].管理科学学报, 2019, 22(5):57-68.Zhou X C, Liu C S, Zhou K J, et al. Improved ant colony algorithm and modelling of time-dependent green vehicle routing problem[J]. Journal of Management Sciences in China, 2019, 22(5):57-68.
[46] Soysal M, Cimen M, Demir E. On the mathematical modeling of green one-to-one pickup and delivery problem with road segmentation[J]. Journal of Cleaner Production, 2018, 174(2):1664-1678.
[47] Xiao Y, Zuo X, Huang J, et al. The continuous pollution routing problem[J]. Applied Mathematics and Computation, 2020. https://doi.org/10.1016/j.amc.2020.125072.
[48] 陈玉光,陈志祥.基于准时送货和最小耗油的配送车辆路径问题研究[J].中国管理科学, 2015, 23(S1):156-164.Chen Y G, Chen Z X. Study on the vehicle routing problem with objectives of on-time delivery and oil consumption minimization[J]. Chinese Journal of Management Science, 2015, 23(S1):156-164.
[49] Ghannadpour S F, Zarrabi A. Multi-objective heterogeneous vehicle routing and scheduling problem with energy minimizing[J]. Swarm and Evolutionary Computation, 2019, 44(2):728-747.
[50] Zulvia F E, Kuo R J, Nugroho D Y. A many-objective gradient evolution algorithm for solving a green vehicle routing problem with time windows and time dependency for perishable products[J]. Journal of Cleaner Production, 2020, 242(1):118428.
[51] 葛显龙,谭柏川,吴宁谦.基于碳交易机制的带时间窗车辆路径问题与算法研究[J].管理工程学报, 2018, 32(4):141-148. Ge X L, Tan B C, Wu N Q. Research on vehicle routing problem and algorithm with time windows based on carbon trading mechanism[J]. Journal of Industrial Engineering Management, 2018, 32(4):141-148.
[52] Rauniyar A, Nath R, Muhuri P K. Multi-factorial evolutionary algorithm based novel solution approach for multi-objective pollution-routing problem[J]. Computers&Industrial Engineering, 2019, 130(4):757-771.
[53] Bravo M, Rojas L P, Parada V. An evolutionary algorithm for the multi-objective pick-up and delivery pollution-routing problem[J]. International Transactions in Operational Research, 2019, 26(1):302-317.
[54] Androutsopoulos K N, Zografos K G. An integrated modelling approach for the bicriterion vehicle routing and scheduling problem with environmental considerations[J]. Transportation Research Part C:Emerging Technologies, 2017, 82(9):180-209.
[55] Raeesi R, Zografos K G. The multi-objective Steiner pollution-routing problem on congested urban road networks[J]. Transportation Research Part B:Methodological, 2019, 122(4):457-485.
[56] Wang Y, Assogba K, Fan J X, et al. Multi-depot green vehicle routing problem with shared transportation resource:Integration of time-dependent speed and piecewise penalty cost[J]. Journal of Cleaner Production, 2019, 232(9):12-29.
[57] Xu Z, Elomri A, Pokharel S, et al. A model for capacitated green vehicle routing problem with the time-varying vehicle speed and soft time windows[J]. Computers&Industrial Engineering, 2019, 137(11):106011.
[58] Çimen M, Soysal M. Time-dependent green vehicle routing problem with stochastic vehicle speeds:An approximate dynamic programming algorithm[J]. Transportation Research Part D:Transport and Environment, 2017, 54(7):82-98.
[59] 郭戈,张振琳.电动车辆路径优化研究与进展[J].控制与决策, 2018, 33(10):1729-1738.Guo Y, Zhang Z L. Status and development of electric vehicle routing optimization[J]. Control and Decision, 2018, 33(10):1729-1739.
[60] Demir E, BektaşT, Laporte G. An adaptive large neighborhood search heuristic for the pollution-routing problem[J]. European Journal of Operational Research, 2012, 223(12):346-359.
[61] Wang Y, Zhang S, Assogba K, et al. Economic and environmental evaluations in the two-echelon collaborative multiple centers vehicle routing optimization[J]. Journal of Cleaner Production, 2018, 197(10):443-461.
[62] Poonthalir G, Nadarajan R. A fuel efficient green vehicle routing problem with varying speed constraint (F-GVRP)[J]. Expert Systems with Applications, 2018, 100(6):131-144.
[63] Jabir E, Panicker V V, Sridharan R. Design and development of a hybrid ant colony-variable neighbourhood search algorithm for a multi-depot green vehicle routing problem[J]. Transportation Research Part D:Transport and Environment, 2017, 57(12):422-457.
[64] 康凯,韩杰,马艳芳,等.基于碳排放的模糊约定时间车辆路径问题研究[J].工业工程与管理, 2017, 22(4):17-22.Kang K, Han J, Ma Y F, et al. Research on vehicle routing problem with fuzzy due time based on carbon emission[J]. Industrial Engineering and Management, 2017, 22(4):17-22.
[65] 蒋海青,赵燕伟,张景玲,等.基于碳排放的开放选址-路径问题及算法[J].系统工程理论与实践, 2020, 40(1):182-194.Jiang H Q, Zhao Y W, Zhang J L, et al. Minimization the carbon emission for the open locating-routing problem and algorithm[J]. Systems Engineering-Theory&Practice, 2020, 40(1):182-194.
[66] 胡祥培,曾庆成,王征,等.网络与配送管理研究综述[J].系统科学与数学, 2019, 39(10):1583-1596.Hu X P, Zeng Q C, Wang Z, et al. Literature review of distribution network and management[J]. Journal of Systems Science and Mathematical Sciences, 2019, 39(10):1583-1596.
[67] 王征,李婷玉,侯鑫垚.基于多样化方案池的即时配送订单实时响应方法[J].管理科学, 2018, 31(6):92-103.Wang Z, Li T Y, Hou X Y. A real-time response method to instant delivery orders based on a pool of various solutions[J]. Journal of Management Science, 2018, 31(6):92-103.
[68] 王征,李婷玉,岳彩凡.同城即时配送问题基于多预测场景的在线调度[J].系统工程理论与实践, 2018, 38(12):3197-3211.Wang Z, Li T Y, Yue C F. Online scheduling for the instant delivery problem in a city based on multiple prediction scenarios[J]. Systems Engineering-Theory&Practice, 2018, 38(12):3197-3211.
[69] 王晶,刘昊天,赵然.基于食品安全的生鲜食品冷链运营优化研究[J].系统工程理论与实践, 2018, 38(1):122-134.Wang J, Liu H T, Zhao R. The optimization of cold chain operation based on fresh food safety[J]. Systems Engineering-Theory&Practice, 2018, 38(1):122-134.
[70] Stellingwerf H M, Kanellopoulos A, van der Vorst J G A J, et al. Reducing CO2 emissions in temperature-controlled road transportation using the LDVRP model[J]. Transportation Research Part D:Transport and Environment, 2018, 58(1):80-93.
[71] Allied Market Research. Global cold chain logistics market:Opportunities and forecast 2019-2026[J].https://www.alliedmarketresearch.com/request-sample/1837, 2019.
[72] Dai J, Che W, Lim J J, et al. Service innovation of cold chain logistics service providers:A multiple-case study in China[J]. Industrial Marketing Management, 2019. https://doi.org/10.1016/j.indmarman.2019.08.002.
[73] Zhang L Y, Tseng M L, Wang C H, et al. Low-carbon cold chain logistics using ribonucleic acid-ant colony optimization algorithm[J]. Journal of Cleaner Production, 2019, 233(10):169-180.
[74] Qin G, Tao F, Li L. A vehicle routing optimization problem for cold chain logistics considering customer satisfaction and carbon emissions[J]. International Journal of Environmental Research and Public Health, 2019, 16(4):576.
[75] Liu G, Hu J, Yang Y, et al. Vehicle routing problem in cold chain logistics:A joint distribution model with carbon trading mechanisms[J]. Resources, Conservation and Recycling, 2020, 156(5):104715.
[76] 杨磊,郝彩霞,唐瑞红.基于电动物流车的充电和换电设施选址模型[J].系统工程理论与实践, 2019, 39(7):1781-1795.Yang L, Hao C X, Tang R H. Location models of charging and battery swapping facilities based on electric vehicles[J]. Systems Engineering-Theory&Practice, 2019, 39(7):1781-1795.
[77] Zhang S, Chen M, Zhang W, et al. Fuzzy optimization model for electric vehicle routing problem with time windows and recharging stations[J]. Expert Systems with Applications, 2019. https://doi.org/10.1016/j.eswa.2019.113123.
[78] 郭放,杨珺,杨超.考虑充电策略与电池损耗的电动汽车路径优化问题研究[J].中国管理科学, 2018, 26(9):106-118.Guo F, Yang J, Yang C. Study on the electric vehicle routing problem in the present of charging strategy and battery consumption[J]. Chinese Journal of Management Science, 2018, 26(9):106-118.
[79] Ashkrof P, De Almeida Correia G H, Van Arem B. Analysis of the effect of charging needs on battery electric vehicle drivers'route choice behavior:A case study in the Netherlands[J]. Transportation Research Part D:Transport and Environment, 2020, 78(12):102206.
[80] 张鹏威,李英,成琪.有限充电设施下的多配送中心电动车辆路径问题研究[J].工业工程与管理, 2019, 24(5):97-105.Zhang P W, Li Y, Cheng Q. Multi-depot electric vehicle routing problem under limited recharging infrastructures[J]. Industrial Engineering and Management, 2019, 24(5):97-105.
[81] Li Y, Lim M K, Tan Y, et al. Sharing economy to improve routing for urban logistics distribution using electric vehicles[J]. Resources, Conservation and Recycling, 2019. https://doi.org/10.1016/j.resconrec.2019.104585.
[82] 葛显龙,黄钰,谭柏川.城市物流跨区域联合配送模型与算法[J].控制与决策, 2017, 32(5):789-796.Ge X L, Huang Y, Tan B C. Multi-stage combined city logistics distribution problem considering the traffic restrictions[J]. Control and Decision, 2017, 32(5):789-796.
[83] 范厚明,杨翔,李荡,等.基于生鲜品多中心联合配送的半开放式车辆路径问题[J].计算机集成制造系统, 2019, 25(1):256-266.Fan H M, Yang X, Li D, et al. Half-open multi-depot vehicle routing problem based on joint distribution mode of fresh food[J]. Computer Integrated Manufacturing Systems, 2019, 25(1):256-266.
[84] Wang Y, Yuan Y Y, Guan X Y, et al. Collaborative two-echelon multicenter vehicle routing optimization based on state-space-time network representation[J]. Journal of Cleaner Production, 2020. https://doi.org/10.1016/j.jclepro.2020.120590.
[85] 詹红鑫,王旭坪,孙自来,等.基于邻域搜索的成品油多舱多目标配送路径优化算法研究[J].系统工程理论与实践, 2019, 39(10):2660-2675.Zhan H X, Wang X P, Sun Z L, et al. Variable neighborhood search for the multi-objective multi-compartment optimization of refined products distribution[J]. Systems Engineering-Theory&Practice, 2019, 39(10):2660-2675.
[86] 周鲜成,王莉,周开军,等.动态车辆路径问题的研究进展及发展趋势[J].控制与决策, 2019, 34(3):449-458.Zhou X C, Wang L, Zhou K J, et al. Research progress and development trend of dynamic vehicle routing problem[J]. Control and Decision, 2019, 34(3):449-458.

基金

国家自然科学基金基础科学中心项目（72088101）；国家自然科学基金面上项目（71972069）；湖南省自然科学基金（2018JJ3261）；湖南省高等学校物流系统优化与运作管理科技创新团队
PDF(1136 KB)

2975

Accesses

0

Citation

Detail
段落导航
相关文章

/

〈 〉