应急物资库存策略及应急物流保障能力评价研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着我国经济社会的发展,自然灾害、工业事故、公共卫生事件等突发性事件对社会造成的影响越来越引起人们的关注。在处置突发事件的过程中,应急物流运行的效能如何,将直接关系到社会的稳定与和谐发展。
     合理的应急物资库存和储备是完成应急物流的首要条件。在分析了应急物资库存存在问题的基础上,首先采用模糊聚类的方法对应急物资按照多种不同属性进行聚类,然后根据聚类后的结果进行不同存储策略的选择,之后利用粗糙集理论分析方法产生应急物资库存策略决策知识。在分析应急物资动态属性特点的之后,根据应急物资达到应急目的而产生的时变属性,对样本对象进行分析,建立了应急物资库存策略的不协调决策信息系统,设计了决策知识抽取方法。
     在应急物资充分准备的前提下,应急物资发挥效能,实现应急效益是应急物流管理决策者较为关心的内容。在介绍建立应急物资到达救援地仿真模型的现实要求基础上,根据排队论,以应急物资到达事发地或者避难点的时间间隔服从正态分布,应急物资发挥应急效能的时间服从负指数分布分别建立单出救点单应急物资和单出救点多应急物资发挥应急效能模型,对应急物资发挥应急效能的数学概率分布进行了分析说明。之后采用ExtendSim软件对其进行了模拟仿真,并对仿真结果对实际应急物流过程中应急物资发挥应急效能的指导意义进行了说明。在单出救点单应急物资和单出救点多应急物资发挥应急效能模型的基础上,可以较为快捷地建立多出救点单应急物资发挥应急效能模型和多出救点多应急物资发挥应急效能模型。
     在应急物流活动中,应急物流保障能力的评价对完成应急物流活动而进行的基础建设和应急物流活动的指挥决策有重要意义。本文提出了应急物流保障能力静态评价模型,该模型以建立保障能力指数为核心,应用层次分析法的分析结果作为权重算子,在希尔伯特空间基础上建立了指标子空间,利用希尔伯特空间上单位球的弱紧性,建立了应急物流保障能力评价模型。该模型具有良好的数据处理功能,包括定性数据和非定性数据,通过指标分析,对评价对象进行横向和纵向的比较,通过指标分析可得到各指标对于总指数的贡献率和总指数的可达性指标。通过一个算例,对应急物流保障能力进行了评价。分析了应急物流动态指标中的共性特点,选取了八项动态指标作为应急物流动态保障能力评价的指标。在确定各项指标后,分别给出了各项指标的数学表达式,在此基础上,建立了应急物流动态保障能力评价模型的表达式。
     在前述基础上设计了应急物资库存策略及应急物流保障能力评价信息平台。通过对应急物资储备分类管理策略的实现及应急物流保障能力评价模型的建立,采用计算机技术、数据库技术及网络技术等进行系统设计和集成,设计实现了应急物资分类、存储策略计算机决策支持系统,通过信息平台软件实现应物资发挥应急效能仿真,并在仿真基础上完成对应急物流保障能力的评价,为决策管理者在指挥处置应急物流活动和平时建设应急物流保障方面提供决策支持,提高了应急物流指挥和建设的科学化和信息化水平。
     通过多项相关课题、项目验证了论文所涉及的相关技术理论。
With the development of social economy and society, natural disasters, industrial accidents, public health incidents, etc. have influenced the society more and more remarkable. In order to meet requirements of deal with these emergencies, the performance of emergency logistics is crucial and the efficiency of emergency logistics would relate to social stability and harmony.
     The inventory and reserve of emergency supplies are prerequisite for fulfilling emergency logistics missions. According to the properties of emergency supplies, this paper carries out the clustering operation to them by fuzzy clustering based on the analysis of the problems existing in the emergency supplies. Then, selecting proper inventory policy based on the results of cluster and using rough set analysis method to formulate emergency materiel inventory policy decision-making rule. Besides, according to analyzing the characteristic of the dynamic properties and the time-varying attribute of emergency supplies, this paper establishes an inconsistent decision system for emergency supplies inventory policies and designs the decision knowledge reduction method.
     In the condition of emergency supplies are well prepared, emergency logistics management decision-makers more concerned about the efficiency of emergency supplies. After introduce the significance of simulation model for emergency supplies arrive to rescue sites, based on queuing theory, assumed the time interval of emergency supplies arrive to incident or evacuation point followed normal distribution and the time of the emergency supplies perform their functions followed negative exponential distribution, this paper established the model of single rescue point single-emergency-supply and single rescue point multi-emergency-supplies performing functions. In third part of this paper the mathematic probability distribution of the performance of emergency supplies was analyzed. These models are established by ExtendSim simulation software, and simulated the two models work procedure, at last the analysis of simulation is explained. The model of multi-rescue-point single-emergency-supplies and multi-rescue-point multi-emergency-supplies can establish easily based on these two models.
     The evaluation of the emergency logistics support capability in the emergency logistical activities is important to construct emergency logistics infrastructure and the decision-maker to command a specific action. This article proposed the static evaluation model of emergency logistics support capability, which build the support capability index as the core, using AHP (Analytic Hierarchy Process) formulate weight operator of index, establish the Hilbert index space. And use Hilbert space unit weak compactness on the unit ball to set up emergency logistics support capability evaluation model. This model has the good data processing function, including the qualitative data and the non-qualitative data. Through the index analysis, compare the horizontal and vertical to the evaluation of the object; each index can be obtained through the indicators of the contribution to the general index and index accessibility target. Emergency logistics support capability was evaluated by an example. At the end of fourth chapter the emergency logistics common characteristics in dynamic indicators were described. The eight dynamic indicators as the main factor to the evaluation of emergency logistic dynamic support capabilities were put forward. After determining factors, each index mathematical expression was gave respectively. In the inferior foundation, the dynamic support capabilities evaluation model expression established.
     An information platform of inventory of emergency supplies and evaluation of emergency logistics support capability is showed in fifth chapter. Combined with computer technology, database technology and network technology the information platform can realize emergency supplies inventory control and simulation of emergency supplies take effect. It can also complete the evaluation of emergency support capabilities based on simulation foundation. These functions improve scientific and normalization of emergency logistics disposal and construction.
     Through several relevant projects, the related technical theories involved in this paper were verified.
引文
[1]王静爱,史培军等.中国自然灾害时空格局[M].北京:科学出版社,2006.
    [2]游志斌.当代国际救灾体系比较研究[D]:(博士学位论文).北京:中共中央党校博士学位论文,2006.
    [3]欧忠文,李科,姜玉宏等.应急物流保障机制研究[J].物流技术,2005,9:13-15
    [4]王春刚,杨景东等.军事物流和应急物流联合发展研究[J].物流技术,2009,10:149-150
    [5]雷玲.应急物流初探[J].统计与决策.2004,6:122-123
    [6]王旭坪,傅克俊,胡祥培.应急物流系统及其快速反应机制研究[J].中国软科学,2005,6:127-131
    [7]Kemball Cook,Stephenson R.Lesson in logistics from Somalia[J].Disaster,1984,8:57-66
    [8]Knott, R.,1987. The logistics of bulk relief supplies. Disasters 11 (2),113-115.
    [9]Ardekani, S.A., Hobeika, A.1988. Logistics problems in the aftermath of the 1985 Mexico City earthquake. Transportation Quarterly 42,107-124.
    [10]Long D.C., Wood D.F.1995. The logistics of famine relief. Journal of Business Logistics 16 (1),213-229.
    [11]Knott, R.1988. Vehicle scheduling for emergency relief management:a knowledge-based approach. Disasters 12(4),285-293.
    [12]Rathi A.K.,Church R.L., Solanki R.S.1992.Allocating resources to support a multicommodity flow with time windows. Logistics and Transportation Review 28 (2),167-188.
    [13]Brown G.G., Vassiliou A.L.1993. Optimizing disaster relief:real-time operational and tactical decision support. Naval Research.Logistics 40,1-23.
    [14]Haghani A., Oh S.-C.,1996. Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transportation Research Part A 30(3),231-250.
    [15]Chandran S. Dissemination of weather information to emergeney managers:adecision support tool[J].IEEE Transaction on Engineering Management,1998,45(2):106-114
    [16]Jean-Luc W.FMIS. A decision support system for forest fire prevention and fighting.IEEE Transaction on Engineering.1998,45(2):127-131
    [17]SuleymanT.An integrated emergency management decision support system for hurricanes emergencies[J].Safety Science,1995,20:39-48
    [18]George F.List. Routing and Emergeney-Respond-Team Sitting for high-level radion active waste shipments[J].1998,45(2):141-152
    [19]Philip T. Evers.Filling Customer Orders from Multiple Locations:A Comparison of Pooling Methods [J]. Journal of Business Logistics,1999, Vol.20 Issue 1,p121,19p,9 Charts.
    [20]S. M. Hong-Minh, S. M. Disney& M. M. Naim. The Dynamics of Emergency Transshipment Supply Chains [J]. International Journal of Physical Distribution& Logistics Management,2000,Vol.30 Issue 9,p788,29p.
    [21]Fiedrich, F., Gehbauer, F., Rickers, U. Optimized resource allocation for emergency response after earthquake disasters[J]. Safety Science 2000.35,41-57.
    [22]Barbarosoglu, G., Ozdamar L., Ahmet, C. An interative approach for hierarchical analysis of helicopter logistics in disaster relief operations[J]. European Journal of Operational Research 2002.140,118-133.
    [23]Ozdarmar, L., Ekinci, D., Kucukyazici, B. Emergency logistics planning in Natural Disasters[J]. Annals of Operations Research 2004.129,217-245.
    [24]Jiuh-Biing Sheu. An emergency logistics distribution approach for quick response to urgent relief demand in disasters[J]. Transportation Research PartE.2007,43:687-709
    [25]欧忠文,王会云,姜大立等.应急物流[J].重庆大学学报,2004,Vol27,No3:164-166.
    [26]曾文琦.对应急物流系统特点的再认识[J].中国西部科技,2004,No10:54-55.
    [27]朱炜,胡安辉.层次分析法在应急物流方案选择中的应用[J].物流技术,2005,No3,45-47
    [28]谢如鹤,邱祝强.论应急物流体系的构建及其运作管理[J].物流技术,2005,No10,78-80
    [29]沈建国,熊坚.物流与应急物流略谈[J],物流科技,2005,Vo128,No116:4-7
    [30]王旭坪,傅克俊,胡祥培。应急物流系统及其快速反应机制研究[J].中国软科学,2005,No6:127-131
    [31]韩景倜,詹亚辉,徐颖凯等.非定常态供应链集成模式-应急物流体分析[J].空军工程大学学报,2005,Vol6,No2:92-94
    [32]邓伟,王卫国.政府职能在应急物流组织指挥中应发挥的作用[J].中国物流与采购,2003,(23):26-26
    [33]刘春林,何建敏,施建军.一类应急物资调度的优化模型研究[J].中国管理科学,2001,9(3):29-36.
    [34]储大建.建立基于系统控制的应急管理模式[J].城市管理,2003,(3):8-9.
    [35]翟晓敏,盛昭瀚,何建敏.辅助应急管理系统的设计与实现[J].东南大学学报,1998,28(4):49-53.
    [36]许健,吕永龙,王桂莲.GIS/ES技术在突发性环境污染事故应急管理中的应用探讨[J].环境科学学报,1999,19(5):567-571
    [37]姜立新,聂高众,帅向华等.我国地震应急指挥技术体系初探[J].自然灾害学报,2003,12(2):1-6.
    [38]聂高众,陈建英,李志强等.地震应急基础数据库建设[J].地震,2002,22(3):105-112.
    [39]肖兰喜,郝爱民,朱元清等.GIS在山东省震后早期应急系统中的应用[J].灾害学,2002,17(3):36-41.
    [40]祁明亮,池宏,赵红等.突发公共事件应急管理研究现状与展望[J].管理评论,2006,18(4):35-45.
    [41]李军,张建勇.紧急救灾物资物流配送系统研究[J].天津职业大学学报,2006,15(2):37-40.
    [42]刘春林,何建敏,盛昭瀚.多救点应急系统最优方案的选择[J].管理工程学报,2000,14(1):13-15.
    [43]何建敏,刘春林,尤海燕.应急系统多出救点的选择问题[J].系统工程理论与实践,2001,(11):89-93.
    [44]陈培友,汪定伟.多物品最优组合供应模式确定问题的模型研究[J].中国管理科学,20006,14(4):35-39.
    [45]刘春林,何建敏,施建军.供应链的协作供应问题研究[J].中国管理科学学报,2002,5(2):29-33.
    [46]戴更新,达庆利.多资源组合应急调度问题的研究[J].系统工程理论与实践,2000,(9):52-55.
    [47]高建国,贾燕,李保俊等.国家救灾物资储备体系的历史和现状[J].国际地震动态,2005,(4):5-12.
    [48]高建国.中央级救灾物资储备仓库在地震紧急救援中的作用[J].国际地震动态,2004,(8):22-28.
    [49]张最良,李长生,赵文志等.军事运筹学[M].北京:军事科学出版社,1997.
    [50]黄永平,谈贵军,尚振锋.航空兵场站油料库存控制策略研究[J].物流技术,2005(5):83-85.
    [51]徐东.应急物流与军地物流一体化建设[J].中国物流与采购,2003,(23):28-29
    [52]中华人民共和国国务院办公厅.《国家突发公共事件总体应急预案》[Z].北京:中华人民共和国国务院,2006-1-8.
    [53]中华人民共和国国务院办公厅.《国家综合减灾“十一五”规划》[Z].北京:中华人民共和国国务院,2007-8-12.
    [54]赵勇等.应急物流风险分析研究[J].物流科技,2006,Vol29,No133:9-13
    [55]孟参等.应急物流系统运作流程分析及其管理[J],物流技术,2006,No9:15-17
    [56]韩景倜等.应急物流体可靠性指标仿真[J].计算机应用研究,2006,Nol 1:134-136
    [57]Takeo Yamada.A net work flow approach to a city emergency evacuation planning[J]. International Journal of Systems Scienee,1996,27(10):931-936.
    [58]李帮义,姚恩瑜.关于最短路问题的一个双目标优化问题[J].运筹学学报,2001.5(4):67-71.
    [59]谢凡荣.运输网络中求最小费用最大流的一个算法[J].运筹与管理,2000,9(4):33-38
    [60]刘春林,何建敏,盛昭瀚.给定限制期条件下最小风险路径的选择算法[J].系统工程学报,1999,14(3):221-225.
    [61]刘春林.应急管理中紧急物资调度的模型与方法研究[D]:(博士学位论文).南京:东南大学,1999.
    [62]何建敏,刘春林,曹杰等.应急管理与应用系统选址、调度与算法[M].北京:科学出版社,2005.
    [63]刘春林,何建敏.模糊计划网络关键路的求取算法[J].系统工程学报,2000,15(2):136-142.
    [64]刘春林,何建敏,盛昭瀚.应急模糊网络系统最大满意度路径的选取[J].自动化学报,2000,26(5):609-615.
    [65]宋业新,陈绵云,吴晓平.具有模糊信息的多目标运输问题求解[J].模糊系统与数学.2001.15(3):86-89.
    [66]刘家学,郑昌义,刘耀武.带有约束的运输问题及其推广应用[J].系统工程理论与实践,2002,(2):127—130.
    [67]陈娜.基于国民经济动员状态下的物资调运优化分析[D]:(硕士学位论文).合肥:安徽大学,2003.
    [68]刘利民,王敏杰.我国应急物资储备优化问题初探[J].物流科技,2009,No2:39-41
    [69]贾小龙,王雷,刘凯峥.突发事件下的应急物资库存管理研究[J].物流技术,2009,(28)7:136-139
    [69]雷金海.模糊聚类分析与库存重点管理[J].郑州航空工业管理学院学报.2003,vol18,Nol:54-58
    [70]薛澜,钟开斌.突发公共事件分类、分级与分期应急体制的管理基础[J].中国行政管理,2005,(2):102—107.
    [71]张毅.基于自然灾害的救灾物资物流决策理论与方法研究[D]:(博士学位论文).西安:长安大学,2008.
    [72]Andrew C. Yao, John G. Carlson.The impact of real-time data communication on inventory management[J].Int. J. Production Economics 1999,No59:213-219
    [73]HUNG-CHI CHANG,JING-SHING YAO,LIANG-YUH OUYANG. Fuzzy mixture inventory model with variable lead-time based on probabilistic fuzzy set and triangular fuzzy number[J]. Mathematical and Computer Modelling 2004,No39:287-304
    [74]Jing-Shing Yao, San-Chyi Chang, Jin-Shieh Su. Fuzzy inventory without backorder for fuzzy order quantity and fuzzy total demand quantity[J]. Computers& Operations Research 2000,No27:935-962
    [75]Der-Chen Lin, Jing-Shing Yao. Fuzzy economic production for production inventory[J]. Fuzzy Sets and Systems.2000,No111:465-495
    [76]高峻峻.不确定需求下供应链分销系统的建模与仿真[D]:(博士学位论文).沈阳:东北大学,2004
    [77]Tyworth JE, Zeng AZ. Estimating the effects of carrier transit-time performance on logistics cost and service[J]. Transportation Research Part E,1998,32:89-97
    [78]Giri BC, Chaudhuri KS. Deterministic models of perishable inventory with stock-dependent demand rate and nonlinear holding cost [J].European Journal of Operations Research,1998,105:467-474
    [79]Woo YY, Hsu SL, Wu S. An integrated inventory model for a single vendor and multiple buyers with ordering cost reduction[J]. International Journal of Production Economics,2001,73:203-215
    [80]Ernst R, Powell SG. Manufacturer incentives to improve retail service level [J]. European Journal of Operational Research,1998,104:437-450
    [81]Jung H, Klein CM. Optimal inventory policies under decreasing cost functions via geometric programming [J]. European Journal of Operational Research,2001,132:628-642
    [82]Bhattacharjee S, Ramesh R. A mufti-period profit maximizing model or retail supply chain management:an integration of demand and supply-side mechanisms [J]. European Journal of Operational Research,2000,122:584-601
    [83]Metters R. Quantifying the bullwhip effect in supply chain [J]. Journal of Operations Management,1997,15:89-100
    [84]Genues JP, Ramasesh RV, Hayya JC. Adapting the Newsvendor Model for Infinite-horizon Inventory system [J]. International Journal of Production Economics,2001,72:237-250
    [85]Axsater S. Inventory control [M].Boston:Kluwer Academic Publishers,1999
    [86]Roandy R.98%-Effective integer-ratio lot-sizing for one-warehouse multi-retailer system [J]. Management Science,1985,31:1416-1430
    [87]Muckstadt JA, Roundy R. Analysis of multistage production systems in SC. Graves et al. Handbook in OR&MS [M]. North Holland Amsterdam,1993,4:59-131
    [88]Wildeman RE, Frenk JBGS Dekker R. An efficient optimal solution method for the joint replenishment problem [J]. European Journal of Operational Research,1997,99:433-444
    [89]Abuo-EI-Ata MO, Fergany H.A, EI-Wakee M.F Probabilistic mufti-item Inventory Model with Varying Order Cast Under Two Restrictions:A geometric Programming Approach[J].Int.J.Production Economics 2003,83:223-231
    [90]Guder F, Zydiak L. Fixed cycle ordering policies for capacitated multiple item inventory systems with quantity discounts [J].Computers&Industrial Engineering,2000,38:67-77
    [91]Bassok Y, Anupindi R, Akella R. Single-period multiproduct inventory models with substitution [J]. Operations Research,1999,47(4):632-642
    [92]俞斌.准时化库存控制探讨[J].航空科学技术,2005,(3):20-24
    [93]E.A.Silver,D.F.Pyke,R.Peterson.Inventory Management and Scheduling[M]. Wiley, New York,1998:348-349
    [94]Richard B.Chase,Nicholas J.Aquilano,F.Robert Jacobs宋国防译,生产与运作管理制造与服务[M].北京:机械工业出版社,1999
    [95]陈荣秋,马士华.生产与运作管理[M].北京:高等教育出版社,1999
    [96]Poul Alstrom,Numerical computation of inventory policies,based on the EOQ/σx value for order-point systems[J].International Journal of Production Economics,2001,71:235-245
    [97]张慧颖.不确定需求下的供应链库存协调管理研究[D]:(博士学位论文).天津:天津大学,2003.
    [98]黄正华,胡宝清.模糊粗糙集理论研究进展[J].模糊系统与数学.2005,vol 19,No4:125-134
    [99]罗党.一种模糊Rough决策方法[J].中国工程科学.2004,vol16,No12:32—36
    [100]楼世博.模糊数学[M].科学出版社.1987
    [101]张文修,仇国芳.基于粗糙集的不确定决策[M].清华大学出版社.2005.
    [102]唐士晟,李建国,蒋兆远.铁路军事交通运输保障能力的模糊聚类与粗糙决策[J].铁道运输与经济,2007,29(2)
    [103]张斌.应急物流配送车辆调度优化研究[D]:(硕士学位论文).大连:大连海事大学,2007:15-22.
    [104]王杏.救灾物流中的物资调运模型研究[D]:(硕士学位论文).北京:北京交通大学,2007:43-62.
    [105]高慧,蒲云虎.救灾应急物资的道路车辆配送调度模型研究[J].甘肃科技,2007,23(12):79-80.
    [106]缪成,许维胜,吴启迪.大规模应急救援物资运输模型的构建与求解[J].系统工程,2006,24(11):6-12.
    [107]计国君,朱彩虹.突发事件应急物流中资源配送优化问题研究[J].中国流通经济,2007(3):18-21.
    [108]王菡,韩瑞珠.基于城际多HUB的应急物流网络协同动力学模型分析[J].东南大学学报,2007(11):387-392.
    [109]卢安文,张斌,谢祥俊.紧急情况下的物流配送模型[J].西南石油学院学报.2003,Vol25,No1:80-82
    [110]高本河,伍慧飞.多资源调度中应急物流出救点最少问题的优化[J].物流技术,2009,Vol28,No1:68-74
    [111]王世珍.多目标应急救援物资调度问题的研究[J].知识经济.2009,12:104
    [112]刘春林,沈厚才.一类离散应急供应系统的两目标优化模型[J].中国管理科学,2003,Vol 11,No4:27-31
    [113]柴秀荣,王儒敬.多出救点、多物资应急调度算法研究[J].计算机工程与应用,2010,46(6):224-226
    [114]李少愉,许娜飞,裘凤英等.多出救点、单需求点应急物资车辆路径—分配优化决策模型[J].物流技术,2010,No4:82-84
    [115]王志科,吕庆华.我国应急物流综述[J].物流科技,2009,No6:4-6
    [116]高文军,陈菊红,胡飞虎.我国应急物流研究综述与展望[J].物流科技,2009,No6:6-10
    [117]Jae Y. Stochastic scheduling problems for minimizing tardy jobs with application to emergency vehicle dispatching on unreliable road networks[D].New York:University of NewYork,2003.
    [118]Renaud J.A tabu search heuristic for the multi-depot vehicle routing problem[J]. Computers& Operations Research,1996,23(3):229-235.
    [119]孟玉坷.排队论基础及应用[M].1989,同济大学出版社
    [120]Bruce.L.Golden. An adaptive memory heuristic for a class of vehicle routing problems with min-max object[J].Computers& Operations Research 1997,24(5):445-452
    [121]Nobuo Sannomiya, Kyoichi Tatemura. Application of genetic algorithm to a parallel path selection problem [J]. International Journal of Systems Science.1996,27(2):269-274.
    [122]Wolfgang Arnold. Fuzzy routing [J].Fuzzy Sets and Systems.1997,85(2):131-144.
    [123]秦天保,王岩峰.面向应用的仿真建模与分析-使用ExtendSim[M]北京:清华大学出版社,2009.
    [124]王志敏,李振克陈强等.军用物资装卸搬运作业系统建模与仿真研究[J].系统仿真学报,Vol 19,No6:1366-1375
    [125]吴新燕.城市地震灾害风险分析与应急准备能力评价体系的研究[D]:(博士学位论文).北京:中国地震局地球物理研究所博士学位论文.2006.
    [126]王德占.铁路物流能力评价研究[D]:(博士学位论文).北京:北京交通大学博士学位论文.2007
    [127]Faweett S,StanleyL,Smiths.Developing a logistics capability to improve the performance of international operations[J].Journal of Business Logisties.1997,18(2):101-127.
    [128]Daughery P J,Pittman P H. Utilization of time-based strategies:creating distribution flexibibility/reponisiveness [J]. International Journal of operations and Production Management.1995.15(2):54-60.
    [129]Bower sox,Closs D J.Cooper M B Supply chain logistics management[M].2002:170-179
    [130]汪鸣,冯浩.我国物流业发展政策研究[M].中国计划出版社.2002.
    [131]王健,王菡.关于依托现代物流搞好应急保障的思考[J].北京理工大学学报:社会科学版,2005,7(6):21-23.
    [132]马芬.构建我国地震应急物流系统的建议[Z].青岛:全国智能运输系统协调指导小组,2008:127-131
    [133]侯建盛,李民.地震应急管理进展[J].国际地震动态,2008(1):14-20.
    [134]方静,陈建校.我国应急物流系统构建探析[J].交通企业管理,2008(8):1-3.
    [135]刘北林,马婷.虚拟应急供应链构建过程研究[J].物流科技,2007(1):109-112.
    [136]李睿,佘廉.枢纽城市紧急事态下应急物流系统研究[J].中国管理科学,2007,15:737-739.
    [137]谢如鹤,宗岩.论我国应急物流体系的建立[J].广州大学学报:社会科学版,2005,4(15):55-58.
    [138]许勤.应急物流问题研究[J].中国市场,2007(36):26-27.
    [139]周钟秀.“5·12”汶川大地震对应急物流的启示[J].北方经贸,2008(6):65-66.
    [140]王文亮.应急物流中的信息系统建设[J].中国物流与采购,2003(23):30.
    [141]邓伟,王卫国.政府职能在应急物流组织指挥中应发挥的作用[J].中国物流与采购,2003(23):26.
    [142]蓝贵兵.云南省粮食应急物流系统研究[D]:(硕士学位论文).昆明:昆明理工大学,2007:18-31.
    [143]黄洪涛.应急物流系统研究[D]:(硕士学位论文).大连:大连海事大学,2006:22-25.
    [144]黄河.应急物流中的信息系统建设[J].商场现代化,2006(484):12-13.
    [145]王宗喜,赵蕾.“星地一体”应急物流指挥平台的建设[J].物流技术与应用,2008(9):96-99.
    [146]李建国,唐士晟,蒋兆远.应急物流保障能力评价模型研究[J].兰州交通大学学报:自然科学版,2007,26(6):64-67.
    [147]余德建,周德群.基于ANP理论的应急物流保障能力评价[J].物流技术,2008,27(8):89-91.
    [148]朱炜,胡安辉.层次分析法在应急物流方案选择中的应用[J].物流技术,2005(3):45-47.
    [149]李志伟.基于AHP法和BP神经网络的应急物流风险评估与预测模型[J].物流技术,2008,27(9):75-77.
    [150]何建敏,刘春林,曹杰等.应急管理与应急系统[M].北京:科学出版社,2007.
    [151]艾江,龚迪.基于多目标决策的应急物资供应商选择[J].物流科技,2007(6):173-176.
    [152]唐连生,程文明,梁剑等.应急物流配送问题的蚁群聚类算法研究[J].铁道运输与经济,2008,,30(9):66-73.
    [153]路应金,郝莉,唐小我.成本有效性约束下应急物流动态保障机制研究[J].应用基础与工程科学学报,2006(14):378-383.
    [154]邹志云,宋程.基于灰色理论的应急物流最优路径选择[J].物流技术,2008,27(1):46-48.
    [155]任雪洁,叶春明.基于模糊层次分析法的应急物流方案选择[J].物流科技,2008(10):1-3.
    [156]姜丽莉.军事物流能力优化模型与策略研究[D]:(博士学位论文).北京:北京交通大学,2009
    [157]赵焕臣.层次分析法[M].北京:科学出版社,1986.
    [158]蒋正新.泛函分析导论及应用[M].北京:航空学院出版社,1987.
    [159]刘启钢,韩宝明,周琦.基于希尔伯特空间向量范数的铁路机务安全评价模型研究[J].中国安全科学学报,2005,15(3):95-98.
    [160]李建国,唐士晟.铁路军事运输保障能力评价模型研究[J].铁道学报,2007,29(5)
    [161]陈建林,陈蓓.战区军事交通运输网络保障能力评价研究[J].铁道运输与经济,2005,27(5):79-80
    [162]王教东,史新生.铁路军事运输运力匹配仿真模拟初探[J].重庆交通学院学报,2006,21(2):17-19
    [163]杨西龙,陈瑶,曹长修等.战时军事物流仿真研究[J].系统仿真学报,2005,17(9):2070-2074
    [164]冯宪书,孙爱霞.高技术战争条件下的交通保障[J].国防交通工程与技术,2003,1(1):12-15
    [165]任海君,朱新元.铁路国防交通储备物资在应急抢险使用中的问题及其对策[J].国防交通工程与技术,2004,2(1):12-13
    [166]李芳.虚拟物流中心构建的管理理论研究[D]:(博士学位论文).北京:华北电力大学,2004