基于物元分析的供应链绩效评价研究
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摘要
目前,我国供应链管理中较为突出的问题就是缺乏有效的绩效评价体系以及完善的激励与约束机制,以至于难以形成长期稳定的利益共同体。对于供应链来说,看似存在着大量评价指标,但怎样选取关键绩效指标至关重要。如何构建一个有效的供应链绩效评价体系、运用科学的绩效评价方法,关系到能否成功建立并发展供应链合作伙伴关系以及实现企业战略联盟。因此,对于供应链绩效评价体系和方法的研究具有非常重大的理论意义和现实价值,供应链绩效评价研究已经成为21世纪供应链管理的新方向和新重点。
     本文运用了一种源于我国的本土理论——物元分析和可拓学对于供应链绩效评价展开了研究探讨,以供应链绩效评价、物元分析和可拓学相关理论知识分析为基础,对基于物元分析的供应链绩效评价指标的选取、指标体系的构建及供应链绩效评价指标体系的物元分析模型进行了深入探讨。
     首先,本文在供应链及绩效相关理论的研究基础上,对供应链绩效的涵义进行了界定,并遵循供应链绩效的涵义、基于物元分析的供应链绩效评价指标选取的相关要求及实际调研结果,从供应链的内部绩效(各节点企业)、外部绩效(各节点企业之间)和综合绩效(供应链整体)这三大层面进行指标选取。这三大层面又划分为几个具体因素:内部绩效包括财务与成本方面、产品竞争力方面、服务方面、学习与创新能力方面;外部绩效包括用户满意度方面和伙伴关系方面;供应链综合绩效包括供应链运营能力方面,进而又将这些因素细分为27个能够完全量化的评价指标。
     其次,通过对众多文献从不同侧面提出的供应链绩效评价指标体系的分析,结合实际调研结果与相关研究,根据物元分析法对供应链绩效评价指标体系的设计要求,构建了系统的、具有一定通用性的,且能反映供应链内部绩效、外部绩效和综合绩效的较为科学合理的基于物元分析的供应链绩效评价指标体系。
     再次,在综合比较国内外各种供应链绩效评价方法优缺点的基础上,本文根据供应链的自身特点和指标体系的构成,创造性地将物元分析法引入供应链绩效评价中,提出了供应链绩效评价指标体系的物元分析模型。在该模型中,本文根据可拓学相关理论,对传统指标权重的确定予以科学、合理地改进,从而增强了权重的客观性,提高了评价结果的真实可靠性。
     最后,运用供应链绩效评价指标体系物元分析模型进行了实例研究,根据评价结果,进一步指出各个企业目前所存在的问题并提出针对性的改进措施和意见。除此之外,本文将物元分析法、灰色关联法和模糊层次分析法做了详尽的对比分析,从计算过程、计算结果及信喜含量等方面可以看出,物元分析法不仅以定量化的数值表示评价结果,能够较为完整地反映出供应链的绩效水平,有效弥补了传统评价方法在应用中的不足,而且使得供应链绩效评价的结果更为客观、准确,从而为其研究提供新的理论基础和研究视角。
At present, a crucial problem is the lack of the more prominent and effective performance evaluation system and improves the incentive and restraint mechanisms in Supply Chain Management (SCM), that it is difficult to form the interests of the community for long-term stability. For Supply Chain, there seems to be numbers of evaluation indicators, but how to select the key performance indicators is essential. How to build an efficiency for Supply Chain Performance Evaluation System (SCPES) and use the scientific method of performance evaluation, that is related to the success of establishing and developing Supply Chain Partnership and the achievement of Corporate Strategic Alliances(CSAs). Therefore, the study of SCPES and its method is of great theoretical significance and practical value, that is a new direction of supply chain management as well as the research priorities in the21st century.
     In this paper, a theory derived from our local-Matter Element Analysis and Extension, analyzes and investigates the Supply Chain Performance Evaluation System (SCPES), probes deeply into selection of SCPES in view of Matter Element Analysis, structure of indicator system and Extension model of SCPES on the basis of relevant theoretical knowledge of SCPES, Matter Element Analysis and Extension.
     First of all, follow the relevant principle of SCPES based on Matter Element Analysis; this paper will make a selection from the three levels, including internal performance and external performance and overall performance on Supply Chain. These three levels are divided into several specific factors:internal, including financial and cost performance, product competitiveness, service, learning and innovation capacity; external performance, including customer satisfaction degree (CSD), and partnerships; integrated supply chain performance, including the ability to operate by Supply Chain, and then in turn subdivided into27evaluation indicators that can be quantified completely.
     Secondly, based on an analysis of SCPES introducd by some literatures in many different aspects, combined with practical research and analysis, according to the design specification of SCPES based on Matter Element Analysis, a suit of scientific, systematic general and rational SCPES based on Matter Element Analysis, that internal performance and external performance and overall performance on Supply Chain can be reflected in this paper.
     Again, on the basis of comprehensive comparison of these advantages and disadvantages both foreign and domestic methods on SCPES, According to the characteristics of Supply Chain and the structure of indicator system, Matter Element Analysis was introducted in SCPES creatively and the model of Matter Element Analysis of SCPES was suggested in this paper. In this model, based on relative theory of Extension, the determination for Weight Traditional Index are included,and these greatly improved objectivity of weight. which led to an improvement on the authenticity of results.
     Finally, using the model of Matter Element Analysis of SCPES to process real data of4related business of case, based on that outcome, it proposed the currently problems of many enterprises, and points out improvement advices. Besides, in this paper, analysis and comparison were carried out to find the differences in Matter Element Analysis, Grey Relational Analysis and Fuzzy Hierarchy Analysis, from the computational process and results, Matter Element Analysis, an example was given to show that Matter Element Analysis be able to make up for the insufficiency of traditional evaluation method, and can make the result of assessment more objective and accurate. The numerical value is expressed as evaluation results by Matter Element Analysis,which has completely reflected the performance level of Supply Chain.and has puted forward new thought and method for SCPES.
引文
[1]黄河,但斌,刘非.供应链的研究现状及发展趋势[J].工业工程,2001,4(1):16-20.
    [2]霍佳震.企业评价创新一集成化供应链绩效及其评价[M].石家庄:河北人民出版社,2001.
    [3]柴跃廷,刘义.敏捷供需链管理[M].北京:清华大学出版社,2001.
    [4]赵林度.供应链与物流管理[M].北京:机械工业出版社,2003:3-4.
    [5]王琴.供应链管理研究视角评析[J].上海管理科学.2004(3):28-30.
    [6]吴俊卿,郑慕琦,张志兴.绩效评价的理论与方法[M].北京:科学技术文献出版社出版,1992.
    [7]汪应络,王能民,孙林岩.绿色供应链管理的基本原理[J].中国工程学报,2003,5(11):82~87.
    [8]赵曙明.《绩效管理与评估》[M].上海:高等教育出版社,2004.
    [9]张涛,文新三.企业绩效评价研究[M].北京:经济科学出版社,2002.
    [10]沈厚才,陶青,陈煜波.供应链管理理论与方法[J].中国管理科学,2000,8(3):1-9.
    [11]霍佳震,隋明刚,刘仲英.企业绩效及供应链绩效评价研究现状[J].同济大学学报,2001,29(8):976-981.
    [12]王丽杰,吕有晨.供应链整体绩效评价指标体系构建研究.生产力研究,2007,(11):119~120.
    [13]查敦林.供应链绩效评价系统研究[D].南京:南京航空航天大学硕士论文,2003.
    [14]Lummus R R, Vokurka R J, Alher K L. Strategic supply chain planning[J].Production and Inventory Management Journal.1998(3):49-58.
    [15]Beamon. B.M., Measuring Supply Chain Performance [J].International Journal of operation &production Management,1999, V19 (3):275-292.
    [16]Beamon B M. Supply chain design and analysis:models and methods [J]. International Journal of Production Economics,1998,55:281-294.
    [17]WebbLL. Green Purchasing:Forging a New Link in the Supply Chain [J]. Resoucre.1994,1(6):14-18.
    [18]Handfield R B. Green Supply Chain:Best Practices From the Furniture Industry Proceedings Annual Meeting of the Decision Sciences Institute, USA[J].1996, (3):1295-1297.
    [19]夏建明等.供应链运作参考模型(SCOR)与管理应用软件的整合及应用[J].物流技术,2003(4):8-11.
    [20]罗伯特S卡普兰,戴维P诺顿.综合计分卡一种革命性的评估和管理系统[M].新华出版社社.1998.
    [21]马十华,李华焰.平衡记分法在供应链绩效评价中的应用研究[J].工业工程与管理理,2002(4):5-9.
    [22]霍佳震,马秀波等.集成化供应链绩效评价体系及应用[M].北京:清华大学出版社,2005.
    [23]李贵春,李从东,李龙沫.供应链绩效评价指标体系与评价方法研究[J].管理工程学报,2004.
    [24]徐贤浩.马十华,陈荣秋.供应链绩效评价特点及其指标体系研究[J].华中理工大学学报(社会科学版),2000,14(2):69~72.
    [25]董千里.供应链管理[M].大连:东北财经大学出版社,2009.
    [26]马士华.林勇.陈志祥.供应链管理[M].北京:机械工业社.2000.
    [27]马丽娟,霍佳震.基于用户满意度的供应链绩效评价指标体系研究[J].同济大学学报,2002,29(8);951~957.
    [28]查敦林.供应链绩效评价系统研究[D].南京:南京航空航天大学硕士论文,2003.
    [29]夏建明等.供应链运作参考模型(SCOR)与管理应用软件的整合及应用[J].物流技术,2003(4):8-11.
    [30]徐麟文.集成化供应链绩效评价[J].商业研究,2004(4):49~51
    [31]王昌锐,李伟.关于供应链绩效评价的探讨[J].江苏商论,2005(1):96~97.
    [32]马士华,李华焰.平衡记分法在供应链绩效评价中的应用研究[J].工业工程与管理理,2002(4):5-9.
    [33]王惠、吴冲锋、王意冈.企业敏捷型评价指标体系[J].工业工程与管理,1999.6:50-54.
    [34]杨建华,桑莉.供应链管理的研究现状与发展趋势[J].工业工程,2003,(3):13-17.
    [35]AnanthV, Mark E. Quick Response in Manufacturing RetailerChannels [J]. ManagementScience,1997, (4):559-570.
    [36]赵林度.知识经济时代的供应链管理[J].东南大学学报(自然科学版),2002,(3):514~523.
    [37]刘伟.供应链管理[M].成都:四川人民出版社,2002.
    [38]高萍.基于SCOR模型的供应链绩效评价与衡量指标选取[J].工业工程与管理,2004,(3):49-52.
    [39]黄培清.基于SCOR模型的供应链再造[J]工业工程与管理,2004,(1):60-62.
    [40]Scott D. Johnson. Environmental performance:application of the balance EnvironmentalStrategy, 1998, (4):34-41.
    [41]唐国锋,于丰.基于平衡记分卡和BP神经网络的供给链绩效评价[J].物流技术.2006,(3):131~135.
    [42]龙子泉.高伟.供应链绩效评估的基准平衡记分卡法[J].物流技术,2004,(5):52~55.
    [43]姜超雁.系统视角的流程供应链绩效评价[J].财经界,2006,(09).
    [44]聂茂林.生态供应链绩效评价与激励机制研究[J].淮海.工学院学报,2007,(4):16.
    [45]E11 ram L M. Cooper M C. Supply chain management, partnership, and the shipper-third party relationship [J]. The International Journal of Logistics management,1990,1(2):1-10.
    [46]Nagel, M. H.,"Environmental Supply-Chain Management Versus Green Procurement in the Scope of a
    Business and Leadership Perspective," International Symposium on Electronic and Environment, 2000,pp.225-228.
    [47]Reckon I. van Hook. Measuring and Improving performance in the supply chain [J]. Supply Chain Management,1998,1:187-192.
    [48]Steve V. W, Robert B.H. and Steven A.M. The green supply chain:integrating suppliers into environmental man agreement processes [J]. International Journal of Purchasing and Materials Management.1998,(1):2-11.
    [49]Joseph Sarkis. An inter-sectoral comparison of green supply chain management in China:Drivers and practices [J].Journal of Cleaner Production.2006.(14):472-486.
    [50]王能民,孙林岩,江应洛著.绿色供应链管理/物流供应链丛书[M].北京:清华大学出版社,2005.
    [51]轩超亭等.神经网络技术在供应链管理中的应用(J).工业工程与管理,2000(3).
    [52]Clinton, B.D. and Lummus, R.R.,2001, ERP in Institutional Manufacturing, Management Accounting Quarterly.
    [53]Walton Lisa. Partnership Satisfaction:Using The Underlying Dimensions of Supply Chain Partnership to Measure Current and Expected Levels of Satisfaction. Journal of Business Logistics:VI7 N2:1996. 57-75.
    [54]徐晋等.基于神经网络专家系统的供应商竞争力分析[J].工业工程与管理,2004(2).
    [55]赵林度.供应链与物流管理[M].北京:机械工业出版社,2003:3-4.
    [56]GB/T18354-2001.中华人民共和国国家标准物流术语[S].北京:中国标准出版社,2001.
    [57]潘悦,司马锡生.逆向物流及其绩效评价[J].商场现代化,2005,(16):113-114.
    [58]闫娟.何喜萍.论破解绩效管理困境的四步工作法[J].理论月刊,2006,(10),92-94.
    [59]方立.张敏.城谈现金周期模型对供应链绩效评价的贡献[J].物流科技,2006,(135):61-63.
    [60]Dong Y. Carter C R, DresnerM E. J IT purchasing and performance:an exploratory analysis of buyer and supplier perspectives [J]. Journal of Operational Management,2001,(19):471-483.
    [61]夏德.程国平.企业集群与供应链的共生性研究[J].研究与发展管理,2003,15(6):62-66.
    [62]Lebas M. J. Performance Measurement andPerformance Management [J]. Production Economics,1995, (41):23-25.
    [63]Webb LL. Green Purchasing:Forging a New Link in the Supply Chain [J]. Resource.1994,01 (6): 14-18.
    [64]Narasimhan R, Carter J.R. Environmental Supply Chain Management[M].Tempe, Arizona:Center for Advanced Purchasing Studies,1998.
    [65]杨瑾,尤建新.蔡依平.产业集群与供应链系统一体化效应分析:一个理论的框架[J].管理评论,2006.18(9):41~45.
    [66]叶春明.马慧民,李丹,柳毅.BP神经网络在供应链管理绩效指标评价中的应用研究[J].工业工程与管理,2005,10(5):35~38.
    [67]张怀宇,周荣滋.供应链绩效评价系统指标选取的几点思考[J].上海理工大学学报(社会科学版),2004,26(3):76-80.
    [68]陈钢.高杰.杨红焦孙林岩.中国企业物流与供应链绩效的实证研究[J].软科学,2008,22(1):16-2].
    [69]李贵春,李从东,李龙洙.供应链绩效评价指标体系与评价方法研究[J].管理工程学报,2004,18(1):104~105.
    [70]叶春明.马慧民,李丹.柳毅.BP神经网络在供应链管理绩效指标评价中的应用研究[J].52业工程与管理,2005,10(5):35~38.
    [71]杨瑾,尤建新,蔡依平.基于SCP框架下的集群供应链系统结构与区域竞争优势分析[J].生产力研究,2008(2):61~63.
    [72]RonaidH.Ballou企业物流管理——供应链的规划、组织和控制[M].北京:机械工业出版社,2002.
    [73]曹振宇,周根贵.供应链管理绩效评价指标体系研究[J].企业经济,2003(7):148-150.
    [74]张文桥,王浣尘.互联网对信息传递模式和过程的影响[J].系统工程理论方法应用,2000,9(3):198~201.
    [75]Petrovic D. Simulation of supply chain behavior and performance in an uncertain environment [J]. Int. J. Production Economics,2001,71:429-438.
    [76]蔡文.可拓论及其应圳[J].科学通报,l 999,44(17):673~682.
    [77]蔡文,杨春燕,林伟初.可拓工程方法[M].北京:科学出版社,1997.
    [78]任创业,物元分析与可拓学[J].甘肃广播电视大学学报,1998,4(39):57~61.
    [79]蔡文.从物元分析到可拓学[M].北京:科学文献出版社,1995.
    [80]R.Courant, H.Robbins著,汪浩等译:《数学是什么?》[J],湖南教育出版社,1985.
    [81]蔡文.物元分析模型及其应用[M].北京:科学技术文献出版社,1994.
    [82]杨春燕,蔡文.可拓工程[M].北京:科学出版社,2007.
    [83]青义学,可拓语言与人工智能[J],《人工智能学报》,1986,12
    [84]佟冬生.系统工程的理论与方法概论[M].北京:国防工业出版社,2005.
    [85]杨纶标.高英仪.模糊数学原理及应用[M].广州:华南理工大学出版社.2002
    [86]蔡文可拓学概述[M].北京:科学出版社,1999.
    [87]蔡文,杨春燕,何斌.可拓学基础理论研究的新进展[J],中国工程科学,2003,2(5):80~87.
    [88]杨春燕.事元及其应用[J],系统工程理论与实践,1998,18(2):80~86.
    [89]何斌,王若恩.物元演绎推理[J],系统工程理论与实践,1998,18(1):85-92.
    [90]Cooke J A. Measure for measure [J].Logistics,1999 (7):111-113.
    [91]杨春燕,何斌.可拓工程方法在新产品构思中的应用[J].系统工程理论与实践,1999,19(4):120-124.
    [92]吴冲,朱世香,卫士钊.基于可拓理论的商业银行绩效评价模型及实证研究[J].中国管理科学,2005,13(10):209-213.
    [93]田军,何德权.多准则DEA模型及应用研究[J].山西工学院学报,2000,1(16):24-31.
    [94]何伟忠,毛波.基于DEA和聚类分析的供应链绩效评价基准选择[J].科学学与科学技术管理,2003.6
    [95]先锋.用电子表格(Excel)实现层次分析法的简洁应用.中国科技论文在线www.paper.edu.cn.
    [96]朱孔来.评价指标的非线性无量纲化模糊处理方法[J].系统工程,1996,14(6):58~62.
    [97]李峰平等.基于fuzzy A HP的顾客满意度权重计算方法的研究[J],计算机工程与应用,2006,03(11).
    [98]赵丽娟,罗兵.绿色供应链中环境管理绩效模糊综合评价[J].重庆大学学报,2003,(11):155-158.
    [99]李峰平等.基于fuzzy AHP的顾客满意度权重计算方法的研究[J],计算机工程与应用,2006,03(11)
    [100]余振华.基于数据包络分析的供应链绩效评价体系研究[D].重庆:重庆大学,2006
    [101]邓卫,胡启洲.基于灰色模糊数的公交线网优化研究[J],中国工程科学,2007,9(11):21-25.
    [102]王莹.基于DEA方法的供应链绩效评价研究[A].可持续发展的中国交通-2005全国博士生学术论坛(交通运输工程学科)论文集[C].北京:中国铁道出版社,2005:615~619.
    [103]Davis, T. Effective supply chain management. Management Review,1993, sume-r:35-46.
    [104]王振,徐晋,篡振法.供应商竞争力分析及其灰色关联模型[J].系统工程与电子技术,2004,26(9):1212~1216.
    [105]Tease, D.J. Profiting from technological innovation [J]. Research Policy,1986,1:286-305.
    [106]许仁忠.模糊数学及其在经济管理中的应用[M].成都:西南财经大学出版社,1997.
    [107]邓群钊,郭艳清,李莎莎。可拓学在管理领域中的应用研究进展[J],数学的实践与认识,2009,4(39):88-93.
    [108]Porter. M.E. Competition strategy [M], New York:The Free Press,1980.
    [109]王琴.供应链管理研究视角评析[J].上海管理科学.2004(3):28-30.
    [110]Azonic. G. and Rangoon, A. Measuring manufacturing competence:a fuzzy approach [J], International Journal of production research,1993,34(9):179-191.
    [111]Martin Christopher. Logistics and Supply Chain Management Strategies for Reducing Cost and Improving Service[M]. Publishing House of Electronics Industry,2003:5-25.
    [112]Lummus R R. Vokurka R J. Alher K L. Strategic supply chain planning[J].Production and Inventory Management Journal,1998(3):49-58
    [113]Petrify, M.A. The cornerstones of competitive advantage:a resource based view [J].Strategic Management Journal,1993,14:179-191.
    [114]Morgan, J.P. Distributors:how good are they? [J]. Purchasing.2000,4:50-58.
    [115]Saaty, T.L. The Analytical Hierarchy Process [J]. New York:Mcgraw-Hill,1980
    [116]邓咏梅.汽车行业上市公司经营绩效评价[J].科技进步与对策,2004(11):104~106.
    [117]John Hoeffecker & Charles Goldenbery. Using the Balanced Scorecard to Develop ComPanywide Performance Measures. Cost Management:Fall.1994.6.
    [118]J. Shi, G. Q. Huang. K. L. Mark. Synchronous system for developing performance measurement tools on the web [J]. Computers in Industry,2001,44:67-8.
    [119]Robert E Annex. James D. Emhart. Application of a Predictive Bayesian Model to environmental accounting[J]. Journal of Hazardous Materials,2001.82:99-112.
    [120]J. W. Forrester. Industrial Dynamics [M]. Cambridge:The MIT Press,1961
    [121]J. Stevens. Integrating the Supply Chain [J]. International Journal of Physical Distribution and Materials Management.1989,19(8):3-8.
    [122]Christopher, M.. Logistics and Supply chain management (Strategy for Reducing cost and improving service). Great Britain (2rd ED),1998:162-164.
    [123]Ell ram L M, Cooper M C. Supply chain management, partnership, and the shipper-third party relationship [J]. The International Journal of Logistics management.1990.1(2):1-10.
    [124]Cooper. M.C., Lambert, D.M., and Pugh. J.D.. Supply Chain Management:Implementation Issues&Research Opportunities [J]. The International Journal of Logistics Management,1998, V9, (2):1-19.
    [125]Benita M. Bemon, Measuring supply chain performance [J]. International Journal of operations&Production Management,1999, V19:275-292.
    [126]A Neely, J Mills, K Platte, M Gregory, H Richards. Performance Measurement System Design: Should process based approaches be adopted [J]. International Journal Production Economics,1996, 46:423-431.
    [27]刘永胜.供应链绩效评价现状与发展趋势.唐山学院学报,2003,3:63-67.
    [128]Saaty, T.L. The Analytical Hierarchy Process [J], New York:Mcgraw-Hill,1980.
    [129]霍佳震.集成化供应链绩效及其评价.石家庄:河北人民出版社,2001.
    [130]Cooper, M.C., Lambert, D.M., and Pugh, J.D., Supply Chain Management:Implementation Issues&Research Opportunities [J]. The International Journal of Logistics Management, 1998,V9.(2):1-19.
    [131]华蕊,马常红.供应链管理[M].北京:中国物资出版社,2006.
    [132]邵子逊.物元分析与可拓学评价[J].咸阳师范专科学校学报(自然科学版).1998(13):49~53.
    [133]蒋长兵,吴承建.现代物流理论与供应链管理实践[M].杭州:浙江大学出版社,2006.
    [134]蔡文.从物元分析到可拓学[M].北京:科技出版牡,1995.
    [135]宋力,王艳飞.浅论企业战略性业绩评价的指标设置[J].财经问题研究,2000,(8):55~58.
    [136]蔡文.可拓集合与不相容问题[J].科学探索学报,1983(8):8-16.
    [137]沈斌.可拓评价法在企业效绩评价中的应用研究[D].西安:西安建筑科技大学硕士论文,2007.
    [138]Bradley, P. Meeting the Supply Chain Demands [J].Logistic Management,1996,11(8):37-41.
    [139]Seethe. A.K. and Seethe S.P. Flexibility in Manufacturing:a Survey [J]. International Journal of Flexible Manufacturing Systems,1990, V2 (4):289-328.
    [140]许仁忠.模糊数学及其在经济管理中的应用[M].成都:西南财经大学出版社,1997.

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