基于熵理论的敏捷供应链供需协作模式与脆弱性研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着人类社会进入21世纪,产品的生产模式和市场销售形式都发生了巨大的变化。传统供应链由于缺乏自主性和敏捷性,难以满足企业动态调整的需求。因此,如何保持供应链的敏捷性,实现供应链的快速响应和动态调整,已经成为企业能否在竞争中立于不败的关键因素之一。但当前对于供应链的响应性要求不仅来自于供应链系统内部的变动,还有系统外不断变化的环境风险,这就要求敏捷供应链对市场的快速变化做出敏捷反应的同时,又要使供应链在应对内、外部风险扰动时保持敏捷而不脆弱。因此有必要对敏捷供应链的供需协作模式及风险抵御能力进行研究。
     1、以敏捷供应链基本供需协作模式为基础,系统地从信息共享、权利结构与生产特点的三维角度分析敏捷供应链协作模式的发展演变,阐述供需双方的合作博奕与风险利益分配是敏捷供应链供需协作模式形成的主要驱动力,以核心装配制造企业与其上游供应商的供需关系为研究主体,认为敏捷供应链供需协作模式的全面研究应该包括供需协作关系的构建过程和供需协作伙伴的评价与选择。
     (1)目前敏捷供应链供需协作关系的建立过程多为供需协作伙伴评价与选择的步骤或评价方法的步骤,很少有人对敏捷供应链协作关系构建的多阶段、跨部门特性进行深入地研究。因此在前人研究的供应链协作伙伴关系建立过程的基础上,针对核心装配制造企业对供应商选择与资格认证的过程,分析建立供需协作关系所要注意的问题,明确定义参与决策的各部门角色及其责任,遵循决策过程顺序,将整个决策过程分为四个阶段,按不同阶段以流程图形式描述。
     (2)供需协作伙伴的选择要始于对其科学合理的评价。从敏捷供应链的特点出发,构建集供应商传统核心能力、风险控制能力和敏捷响应能力为一体的综合指标体系,全面解释各指标的含义及量化标准。考虑供应商评价问题是一个混合型多属性群决策问题,系统地引入决策熵和信息熵理论,提出供应商评价的混合型多属性群决策评价方法,并利用系统参数ρ和权重折衷系数β对方案排序进行敏感性分析。
     (3)模拟算例从专家权重能力的获取、混合型指标的处理、主客观权重的确定与集结及方案敏感性分析分步验证混合型多属性群决策评价的过程。结果表明核心装配制造企业在与供应商建立供需协作关系时,采用基于熵理论的供应商评价的混合型多属性群决策评价方法科学可行。
     2、敏捷供应链供需协作模式确定后,由于外部环境的不确定性和供需合作关系管理者的精益化,使敏捷供应链系统越来越脆弱,呈现出一个急需研究解决的问题就是如何度量敏捷供应链系统的抵御风险的能力。
     (1)针对敏捷供应链系统的复杂性,运用信息熵理论对敏捷供应链系统的脆弱性进行熵分析,提出敏捷供应链系统脆弱性及脆弱熵的定义,分析系统脆弱性与稳定性之间的关系。
     (2)利用影响矩阵描述系统成员生产要素所受外部扰动的直接与间接影响,引入脆弱熵构建敏捷供应链系统抵御风险能力的度量模型,认为当敏捷供应链系统内各成员所受到的扰动平均时,系统最脆弱,供应链抵御风险的能力为零。
     (3)应用模拟算例对模型进行验证。针对某一突发事件(交通事故)对系统的扰动作用,对已建立供需协作关系的敏捷供应链成员及系统进行脆弱性的度量,并结合系统参数τ对度量结果作敏感性分析,提出改善系统脆弱性的策略。
     最后,设计敏捷供应链协作管理系统,提出协作管理系统体系结构,详细阐述系统内两大子系统包含的系统模块及其功能结构,利用实例对模块进行验证,结果可行有效。
As human society entered the 21st century, the production patterns and marketing forms have undergone tremendous changes. The traditional supply chain due to lack of autonomy and agility, it is difficult to meet the business needs of dynamic adjustment. Therefore, how to maintain the supply chain agility and to achieve supply chain's rapid response and dynamic adjustment, has become a key factor that business can stand in the competition undefeated. However, the current requirements to the supply chain response, are not only from within the system changes, but also from changing environmental risk outside the system, which requires agile supply chain make quick response to rapid changes in the market as well as maintain agility and not vulnerability in response to risks. This paper was the research on supply-demand cooperating pattern(SDCP) and ability to resist risks in the agile supply chain at the initial construction.
     1. This paper, based on the basic supply-demand cooperating pattern in agile supply chain, systematically analyzed development and evolvement of supply-demand cooperating pattern in agile supply chain from three-dimensional view about the information-sharing, the power structure and production characteristics, further explained that the main driving force constructing supply-demand cooperating pattern in agile supply chain were cooperative game and risks&benefits distribution. This paper selected supply-demand relationships between the core assembly manufacturing enterprise and its suppliers as study subjects, thought of agile supply chain SDCP comprehensive research should include the process of constructing supply-demand relationships and the evaluation and selection of cooperative partners.
     (1) Currently the researches about constructing process of supply-demand relationships in agile supply chain mostly were the supply-demand partners evaluation and selection steps or evaluation method steps, almost no one committed to study deeply the multi-stage, cross-departmental characteristics constructing agile supply chain cooperative relationships. Therefore on the basis of previous research, this paper studied core assemble manufacturing enterprise's supplier selection and certification process, analyzed the problem that should pay attention during constructing supply-demand cooperating relationship, clearly defined role and responsibility of decision-making departments, followed the decision-making process, put the whole decision-making process to divide into four stages that were described by flow chart.
     (2) The selection of supply-demand cooperative partnership began its scientific and rational assessment. This paper, combining with the characteristics of agile supply chain, built traditional core competencies, risk control ability and agility respond capacity integrated index system and comprehensive explained the meaning of each index and quantitative criteria. Considering the supplier evaluation is a hybrid multi-attribute group decision-making problem, this paper systematic introduced decision-making entropy and information entropy theory and proposed hybrid multi-attribute group decision-making supplier evaluation methods. Finally this paper used system parameters p and weight factorsβto sensitivity analysis for ranking results.
     (3) The application examples validatd hybrid multi-attribute group decision-making evaluation process step by step from accessing the expert ability, mixed indicators treatment, subjective and objective weights acquisition and integration to the sensitivity analysis. The results showed that evaluation method is scientific and reasonable when constructing cooperative partnership for the core assembly manufacturer and its suppliers
     2. After agile supply chain SDCP was determined, due to the uncertainty of external environment and lean management of supply-demand relationship, agile supply chain system became more and more vulnerability. So it is urgent to study and solve the problem that is how to measure the agile supply chain system resisting risks.
     (1) This paper, combining agile supply chain system complexity, proposed the definition of agile supply chain system vulnerability, using information entropy theory to analysis agile supply chain system vulnerability put forward the definition of vulnerability entropy and analyzed the relationship between system vulnerability and stability.
     (2) Using influence matrix to describe the direct and indirect effects among each member' production factors suffered from the system external disturbance. Combining with vulnerability entropy the paper built agile supply chain system measurement model on the ability to withstand external risk, proposed that when each member in the agile supply chain system suffered the average disturbance, the system achieved the most vulnerable state, and the ability to resist external risks dropped to zero.
     (3) Supposed an emergency (traffic accident) on the system disturbance effects verified vulnerability measurement model. Then the paper combined with the system parametersτon the measurement results for sensitivity analysis, and further put forward to improve the system vulnerability strategies.
     Finally, the paper designed collaborative management information system for agile supply chain, laying out a collaborative management system structure, and detailed the two major sub-system modules and functional structure. Finally a practical example validated the feasibility and effectiveness of the methods and models proposed by the paper.
引文
[1]Remko I, Van Hoek. The thesis of agility revisited [J]. International Journal of Agile Management Systems,2002,2(3):196-201.
    [2]Hartmut Stadtler. Supply chain management and advanced planning:basies, overview and challenges[J]. European Journal of Operational Research,2005,63(3):575-588.
    [3]Martin Christopher. The agile supply chain competing in volatile markets[J]. Industrial Marketing Management,2000,29(1):37-44.
    [4]战子玉.虚拟企业与敏捷供应链[J].河南财政税务高等专科学校学报,2008,22(1):30-31.
    [5]郑江波,赵黎明.基于动态联盟的敏捷供应链[J].组合机床与自动化加工技术,2004,(3):58-59.
    [6]柴跃廷,刘义.敏捷供需链管理[M].北京:清华大学出版社,2001.
    [7]柴跃廷,韩坚,吴澄.敏捷供应链及其管理[J].中国机械工程,2000,11(3):352-355.
    [8]仲智刚.敏捷供应链中若干关键技术问题研究[J].杭州:浙江大学博士论文,2001.
    [9]张申生,曹健,刘敏,等.敏捷制造的理论、技术与实践[M].上海:上海交通大学出版社,2002.
    [10]蒋国瑞,易庆丰.基于模糊综合评价法的汽车制造业敏捷供应链绩效评价[J].机械设计与制造,2008(3):223-224.
    [11]Ching T L, Hero C P, Young C. Agility index in the supply chain[J]. International Journal of Production Economics,2006(100):285-299.
    [12]张永霞.敏捷供应链在中国的应用与发展[J].甘肃农业,2006(10):145.
    [13]张涛,孙林岩.供应链不确定性管理:技术与策略[M].北京:清华大学出版社,2005.
    [14]Prater E, Biehl M, Smith M A. International supply chain agility, tradeoffs between flexibility and uncertainty [J]. International Journal of operations and Production Management,2001,21(5/6):823-839.
    [15]柴跃廷,杨家本.敏捷供需链中供需协作模式的研究[J].系统工程理论与实践,2000(3):28-32.
    [16]王金明,郑树清,刘永胜.完全补给型合作伙伴关系的供应链协调研究[J].现代财经,2006,26(2):59-61.
    [17]缪兴锋.紧密协作关系供需模式下供应链协调问题研究[J].企业经济,2009(7):33-36.
    [18]陈志祥.供应链管理中的供需合作关系研究[J].武汉理工大学学报(信息与管理工程版),2004,26(5):139-146.
    [19]陈志祥.供应链中供需合作关系的分析与优化理论[J].计算机集成制造系统,2005,11(3):386-393.
    [20]何静.SDN合作伙伴关系类型及其合作机理研究[J].科学学与科学技术管理,2004(2):52-54.
    [21]李良,供应链成员关系若干问题研究[D],成都:西南交通大学,2004.
    [22]罗新星,吴翀.基于径向基网络的敏捷供应链伙伴选择实证研究[J].系统工程,2006,24(8):13-18.
    [23]马士华.供应链企业之间的合作模式[J].电子商务世界,2003(6):68-70.
    [24]Paul SchOnsleben. With agility andadequate partnership strategies towards effeetive logisties networks[J]. Computer InIndustry,2000(42):33-42.
    [25]James L Patterson, Laura B Forke, Joe B Hanna. Supply chain consortia:the rise of transcendental buyer-supplier relationships[J]. European Joumal of Purchasing and Supply Management,1999(5):85-93.
    [26]Zhimin Huang, Susan X Li. Co-op advertising models in manufacturer-retailer supply chains:A game theory approach[J]. European Joumal of Operational Researeh,2001(135): 527-544.
    [27]Thomas E Vollmann, Carlos Cordon. Building successful customer-supplier Alliances[J]. Long Range Planning,1998,31(5):684-694.
    [28]John Bessant, Paul Levy, Bob Sang, etal. Managing sueeessful total quality relationships in the supply chain[J]. European Journal of Purchasing and Supply Management,1994,1(1):7-17.
    [29]Mareia perry, Amrik S Sohal, Peter Rumpf. Quick Response supply chain alliances in the Australian textiles, clothing and footwear industry[J]. International Joumal of Production Economics,1999(62):119-132.
    [30]Craig R Carter, Marianne M Jennings. Social responsibility and supply chain relationships[J]. Transportion Research Part E,2002(38):37-52.
    [31]Penny-Anne Cullen, Richard Hickman. Contracting and economics alliances in the aerospace seetor:do formal contact arrangements support or impede effieient supply chain relationships[J]. Technovation,2001(21):525-533.
    [32]王锋,许焕梅,任坤.基于AHP和TOPSIS算法的敏捷供应链合作伙伴选择决策方法[J].机电工程,2002,19(6):66-69.
    [33]盛望京,吴祈宗.敏捷供应链协作伙伴关系建立过程研究[J].北京理工大学学报(社会科学版),2005,7(5):57-59.
    [34]牟维哲.基于敏捷供应链的服装企业合作伙伴关系研究[J].黑龙江对外经贸,2007(12):59-59.
    [35]王正成,田景红,叶良朋.敏捷供应链中合作伙伴的选择研究[J].机械制造,2003,41(2):43-45.
    [36]韩敏.基于ASP的汽车产业链协作模式、技术、平台研究[D].成都:西南交通大学, 2006.
    [37]Christopher, Martin, Towill D R, Supply chain migration from lean and functional to agile and customized[J]. Supply Chain Management,2000(5):206-213.
    [38]Wilson E J, Vlosky R P. An Integrated Model of Buyer-Seller Relationships[J]. Journal of the Academy of Marking Science,2004,23(4):335-345.
    [39]Talluri S, Baker R C.A quantitative framework for designing efficient business process alliances[A]. Proceedings of International Conference on Engineering Management[C]. Vancouver:IEEE Engineering Management Society Press,1996:656-661.
    [40]郭海丰,曹衍龙,杨建刚.基于网络分析法的敏捷供应链合作伙伴选择策略的研究[J].组合机床与自动化加工技术,2005(3):9-11.
    [41]杨杰,刘银,孙立鹏.基于Web的敏捷制造模式下的供应链合作伙伴选择研究[J].武汉理工大学学报(交通科学与工程版),2004,28(3):424-426.
    [42]石书玲,和金生.基于敏捷供需链的供应商综合评价体系[J].工业工程,2005,8(2):95-100.
    [43]廖成林,仇明全,龙勇.企业合作关系、敏捷供应链和企业绩效间关系实证研究[J].系统工程理论与实践,2008(6):115-128.
    [44]钱碧波,潘晓宏,程耀东.敏捷虚拟企业合作伙伴选择评价体系研究[J].中国机械工程,2000,11(4):397-401.
    [45]卜祥智,王文斌,武振业,敏捷供应链中战略伙伴选择问题探析[J].西南交通大学学报,2004,39(2):239-243.
    [46]郑文军,张旭梅,刘飞,等.虚拟企业合作伙伴评价体系及优化决策[J].计算机集成制造系统,2000,6(5):63-67.
    [47]陈漩漩.基于供应链风险管理的战略性供应商选择研究[D].南京:河海大学,2007.
    [48]Z Su, D Poulin.Partnership management within the virtual enterprise in a network[A]. In: Proc of IEMC-96, IEEE Press,Vancouver,BC,Canada,1996:645-650.
    [49]Chun-Wei R. Lin, Hong-Yi S. Chen. A fuzzy strategic alliance selection framework for supply chain partnering under limited evaluation resources[J], Computers in Industry, 2004(55):159-179.
    [50]关志民.供应链环境下供应商选择方法及其应用研究[D].辽宁:东北大学,2006.
    [51]梁昌勇,吴坚,陆文星等.一种新的混合型多属性决策方法及在供应商选择中的应用[J].中国管理科学,2006,14(6):71-76.
    [52]杨玉中,张强,吴立云.基于熵权的TOPSIS供应商选择方法[J].北京理工大学学报,2006,26(1):31-35.
    [53]吴海滨,岳岩.基于熵权TOPSIS法的第三方物流服务商评价方案[J].兰州交通大学学报,2008,27(1):88-91.
    [54]安国庆,赵良才,张庆奎.船舶供应链合作伙伴基于熵的模糊评价方法研究[J].华东 船舶工业学院学报(自然科学版),2004,18(1):82-85.
    [55]张成考,聂茂林,吴价宝.基于改进型灰色评价的虚拟企业合作伙伴选择[J].系统工程理论与实践,2007(11):54-61.
    [56]刘帅华,郭尧琦.基于AHP和熵的TOPSIS方法的虚拟企业合作伙伴选择[J].湖南理工学院学报(自然科学版),2008,21(3):16-18
    [57]史成东,陈菊红,郭福利.基于精益思想的物流联盟伙伴选择和业务配额[J].工业工程,2009,12(5):58-63.
    [58]Xing Bao, Ou Tang, Jianhua Ji. Applying the minimum relative entropy method for bimodal distribution in a remanufacturing system [J]. International Journal of Production Economics, Special Section on Advanced Modeling and Innovative Design of Supply Chain,2008,113(2):969-979.
    [59]Shih-Yuan Wang, Sheng-Lin Chang, Reay-Chen Wang. Assessment of supplier performance based on product-development strategy by applying multi-granularity linguistic term sets[J]. Omega,2009,37(1):215-226.
    [60]WAN Shu-ping. Method of multi-attribute group decision-making for supplier selection[J]. Computer Engineering and Applications,2009,45(8):198-199.
    [61]Christopher M, Mckinnon A, Sharp J, etal. Supply chain vulnerability[R]. Final Report for the Department for Transport, Local Government and Regions. Cranfied University,2002.
    [62]丁伟东,刘凯,贺国先.供应链风险研究[J].中国安全科学学报,2003,13(4):64-66.
    [63]Frizelle G, Complexity in the supply chain[J]. The IEEE International Engineering Management Coference,2004.
    [64]Sheffi, Yossi. Supply chain management under the threat of international terrorism [J]. The International Journal of Logistics Management,2001,12 (2):1-11.
    [65]周艳菊,邱莞华,王宗润.供应链风险管理的研究与发展的综述与分析[J].系统工程,2006
    [66]桑圣举,王炬香,杨阳.供应链风险管理的研究与发展[J].工业技术经济,2006,25(9):116-120.
    [67]雷臻,许玖平.供应链中突发事件的应急管理探讨[J].项目管理技术,2004,(5):26-29.
    [68]陈长彬,缪立新.供应链风险类别、脆弱性因素及管理方法解析[J].商业经济,2009(5):98-101.
    [69]Harland C, Brenchley R and Walker H, Risk in supply networks[J]. Journal of Purchasing and Supply Management,2003,9(2):51-62.
    [70]Hallikas J, Karvonen I, Pulkkinen U, etal. Risk management processes in supplier networks[J], International Journal of Production Economics,2004,90(1):47-58.
    [71]Peck H, Reconciling supply chain vulnerability, risk and supply chain management[J], International Journal of Logistics:Research and Applications,2006,9(2):127-142.
    [72]李欢.供应链风险研究[D],成都:电子科技大学,2005.
    [73]许志端.供应链战略联盟中的风险因素分析[J].科技管理,2003(4):127-132.
    [74]Uta Juttner, Helen Peck, Martin Christopher. Supply chain risk management:outlining an agenda forfuture research[J]. International Journal of Logistics,2003,6(4):197-210.
    [75]马林.基于SCOR模型的供应链风险识别、评估与一体化管理研究[D].杭州:浙江大学,2005.
    [76]Deloitte.Supply chain risk management:better control of your business environment [DB/OL].http://www.delitte.eom/dtt/artiele/0,1002,cid%253D53681,00.html.2004.
    [77]Cranfield Centre for Logistics and Transportation. Supply chain vulnerability[DB/OL]. http://www.demt.eranfield.ae.uk/ddmsa/resilienee/sevreport.pdf.2002.
    [78]刘卫国.企业供应链风险评估研究[D],汕头:硕士学位论文,2005.
    [79]马士华.如何防范供应链风险[J].中国计算机用户,2003(3):21.
    [80]杨俊.供应链风险管理理论与方法研究[D].武汉:武汉理工大学,2005.
    [81]刘介明.供应链的利益与风险分析[D].武汉:武汉理工大学,2003.
    [82]胡继灵.供应链风险预警体系研究[D],武汉:武汉理工大学,2004.
    [83]Tang C S. Perspectives in supply chain risk management[J]. International Journal of Production Economics.2006,103(2):451-488.
    [84]Ho Y C. A road map for DEDS research[A]. The Proceeding of the 12th IFAC Triennial World Congress Automatic Control:World Congress,1994.
    [85]冯端,冯少彤.溯源探幽熵的世界[M].北京:科学出版社,2005.
    [86]卿铭.模糊嫡及其在模糊系统优化中的应用[D].成都:西南交通大学,2006.
    [87]邱苑华.管理决策与应用熵学[M].北京:机械工业出版社,2002.
    [88]霍红,冀方亮,丁晨光.熵与供应链管理系统研究[J].哈尔滨商业大学学报(社会科学版),2005(6):40-41.
    [89]覃正,姚公安.基于信息熵的供应链稳定性研究[J].控制与决策,2006,21(6):693-696.
    [90]黄琳.稳定性与鲁棒性的理论基础[M].北京:科学出版社,2001.
    [91]辛玉红.供应链系统鲁棒性研究[D].北京:中国航天第二研究院,2008.
    [92]张彦高,李纬澎.耗散结构论在供应链管理中的应用[J].物流技术,2004(7):42-44.
    [93]DaeSoo Kim. Process chain:A new paradigm of collaborative commerce and synchronized supply chain[J]. Business Horizons,2006,49(5):359-367.
    [94]Paul SchOnsleben. With agility and adequate partnership strategies towards effective logistics networks[J]. Computers in Industry,2000(42):33-42.
    [95]刘文静,辛宇,章长生.IMC理论视角下供应链模式选择研究[J].现代商贸工业,2008(12):45-46
    [96]吴刚.EC环境下供应链中的供需协作模式研究[D].西安:西安科技大学,2005.
    [97]李歇,孙林岩,汪应洛.动态联盟的合作动力研究[J].系统工程理论与实践,2001, 21(2):91-94.
    [98]张维迎.博弈论与信息经济学[M].上海:上海人民出版社,1996.
    [99]李霆,张朋柱.促进合作的博弈模型研究[A].第五届全国青年管理科学与系统科学会议文集[C].天津:南开大学出版社,1999.
    [100]朱紫茂.基于博弈论的供应商管理研究[J].物流管理,2008(6):48-50.
    [101]Karjalainen J. Profit and Risk Sharing in Virtual Enterprise[J]. International Journal of International Journal of Innovation and Technology Management,2004(1):75-92.
    [102]云虹.供应链中的组织间关系治理研究[J].求索,2004,24(12):45-46.
    [103]李建忠,邓定宾.基于供应链环境下企业与供应商的合作关系分析[J].交通运输工程与信息学报,2005,3(2):106-110.
    [104]S Talluri,R C Baker.A quantitative framework for designing efficient business process alliances[A]. In:Proc of IEMC-96,Vancouver,BC, Canada:IEEE Press,1996:656-661
    [105]罗文波,陈幼平,艾武,等.基于多智能体的供应链管理系统角色建模与设计[J].计算机工程与应用,2003,33(19):230-232.
    [106]Alain Yee-Loong Chong, Keng-Boon Ooi, Amrik Sohal. The relationship between supply chain factors and adoption of e-Collaboration tools:An empirical examination[J]. Int. J. Production Economics,2009 (122):150-160.
    [107]Marlene J Suarez Bello. A case study approach to the supplier selection process[D]. USA: University of Puertorico,2003.
    [108]Francis To. "6 Sigma" 品质管理的研究[DB/OL]. http://www. printmarket.com.cn/ iso/sigma.asp
    [109]Gordon D. Supplier assessment and approval process:Or after certification and approval why do we still have problems and what should we do to prevent them[R]. The World Conference on Quality and Improvement, Milwaukee, WI,2006.
    [110]ISO9001. Quality management systems-requirements (3rd ed.)[S]. International Organization for Standardization,2000.
    [111]ISO/TS 16949. Quality management systems-particular requirements for the application of ISO9001:2000 for automotive production and relevant service part organizations (2rd ed.) [S]. International Organization for Standardization,2002.
    [112]Xinxing Luo, ChongWu, Duska Rosenberg, etal. Supplier selection in agile supply chains: An information and an illustration[J]. Journal of Purchasing & Supply Management,2009 (15):249-262.
    [113]Sha D Y, Che Z H. Supply chain network design, partner selection and production distribution planning using a systematic model [J]. Journal of the Operational Research Society,2006,57 (1):52-62.
    [114]Xia W, Wu Z. Supplier selection with multiple criteria in volume discount environments [J]. Omega,2007(35):494-504.
    [115]Reza Farzipoor Saen. A new mathematical approach for suppliers selection:Accounting for non-homogeneity is important[J]. Applied Mathematics and Computation,2007,185(1): 84-95.
    [116]Ammar M A. Suppliers evaluation and selection:a comprehensive model to minimize the risk associated with quality and delivery[D]. USA:The University of Tennessee,2005.
    [117]张朋柱,薛耀文.博弈者认知模式与合作意愿度分析[J].管理科学学报,2005,8(5):1-9.
    [118]叶红心,薛耀文,盛昭瀚.基于成员特征及历史信息的合作意愿度迭代模型[J].中国管理科学,2004,12(2):102-107.
    [119]Lee C C, Ou-Yang C. A neural networks approach for forecasting the supplier's bid prices in supplier selection negotiation process[J]. Expert Systems with Applications, 2009,36 (2),2961-2970.
    [120]陈华友,陈启明,王慧.基于相对熵的不确定性群决策集成方法[J].安徽大学学报(自然科学版),2008,32(1):1-5.
    [121]胡宝清.模糊理论基础[M].武汉:武汉大学出版社,2004.
    [122]邱林,余玉敏.区间数多属性决策在水资源管理中的应用[J].人民黄河,2008,30(7):48-49.
    [123]尚耀华,席琼玉,刘佳力.基于三角模糊数的供应链合作伙伴优化算法[J].统计与决策,2006(12):36-37.
    [124]曹炳元.应用模糊数学与系统[M].北京:科学出版社,2005.
    [125]宋业新,尹迪,张建军.一种新的区间数多属性决策的集结方法[J],系统工程与电子技术,2004,26(8):1060-1062.
    [126]吴坚.基于OWA算子理论的混合型多属性群决策研究[D].安徽:合肥工业大学,2008.
    [127]陈军,高晓光,丁琳.预警机指挥机群协同防御空战的威胁评估方法研究[J].西北工业大学学报,2009,27(5):623-629.
    [128]许叶军,达庆利.不确定性多属性决策的权系数确定及其应用[J].系统工程理论方法应用,2005(5):434-436.
    [129]朱方霞,陈华友.确定区间数决策矩阵属性权重的方法——熵值法[J].安徽大学学报(自然科学版),2006(5):4-6.
    [130]Peck H. Drivers of supply chain vulnerability:an integrated framework[J]. International Journal of Physical Distribution and Logistics Management,2005(35):210-232.
    [131]Blackhurst H,et al.Network based approach to modeling uncertainty in a supply Chain[J]. International Journal of Production Research,2004,42(8):1639-1658.
    [132]Chopra S, Sodhi M S, Managing risk to avoid supply-chain breakdown[J]. Sloan Management Review,2004,46 (1):53-61.
    [133]Lubos Buzna, Karsten Peters, Dirk Helbing, Modelling the dynamics of disaster spreading in networks[J]. Physica A,2006 (363):132-140.
    [134]M Christopher, H Peck. Building the resilient supply chain[J]. International Journal of Logistics Management,2004,15(2):1-13.
    [135]G Svensson. A conceptual framework for the analysis of vulnerability in supply chains[J]. International Journal of Physical Distribution & Logistics Management 2000,30(9):731-749.
    [136]G. Svensson, A conceptual framework of vulnerability in firms'inbound and outbound logistics flows[J]. International Journal of Physical Distribution & Logistics Management, 2002,32(2):110-134.
    [137]G Svensson. Vulnerability in business relationships:the gap between dependence and trust[J]. Journal of Business and Industrial Marketing,2004,19(7):469-483.
    [138]G. Svensson. Key areas, causes and contingency planning of corporate vulnerability in supply chains—a qualitative approach[J]. International Journal of Physical Distribution & Logistics Management 2004,34(9):728-748.
    [139]P Blaikie, T Cannon, I Davis, etal. At risk:natural hazards, people's vulnerability, and disasters[M]. London:Routledge,1994.
    [140]Braithwaite A, Hall D. Risky business? critical decisions in supply chain management: part 1[J]. Supply Chain Practice,1999,1(2):40-57.
    [141]Dirk Helbing, Christian Kuhnert. Assessing interaction networks with applications to catastrophe dynamics and disaster management[J]. Physica A:Statistical Mechanics and Its Applications,2003(328):584-606.
    [142]波特钻石理论模型[DB/OL]. http://baike.baidu.com/view/1506007.htm.
    [143]Christopher M, Peck H. Building the resilient supply chain[J]. International Journal of Logistics Management,2004,15(2):1-13.
    [144]张云波.面向敏捷制造的柔性供应链管理[D].成都:西南交通大学,2004.
    [145]穆东,杜志平.供应链固有可靠性和运作可靠性研究[J].物流技术,2004(12):37-39.
    [146]Christopher S Tang. Proactive product, supply and demand strategies for constructing robust supply chains[DB/OL]. http://www.anderson.ucla.edu/x980.xml.
    [147]Haisheng Yu, Amy Z Zeng, Lindu Zhao. Single or dual sourcing:decision-making in the presence of supply chain disruption risks[J]. Omega,2009,37(4):788-800.
    [148]Helene Tokou. Supply chain risk management:models and algorithms[D]. USA:The University of Iowa,2007.
    [149]韦鸿钰,汤宏群.基于协同模式的敏捷供需链管理系统优化[J].机电产品开发与创新,2008,21(3):123-125.
    [150]李雁春,张韧钢,姜波.基于动态联盟的敏捷供应链管理系统[J].信息技术,2002(7):22-24.
    [151]齐德新,刘永贤,商学来.面向敏捷供应链的物流管理平台研究[J].组合机床与自动化加工技术,2008(8):110-112.
    [152]凌兴宏.面向Agent的敏捷信息系统关键技术及应用研究[D].南京:南京航空航天大学,2004.
    [153]俞文锦,赖志标,刘凯.供应链信息系统应用:过去、现在和未来[J].物流技术,2006(3):154-156.
    [154]Ngai E W T, Lai K H, Cheng T C E. Logistics information systems:the Hong Kong experience[J]. International Journal of Production Economics,2008,113 (1),223-234.
    [155]Nurmilaakso J M. Adoption of e-Business functions and migration from EDI-based to XML-based e-Business frameworks in supply chain integration[J]. International Journal of Production Economics,2008,113 (2):721-733.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700