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物流客户服务绩效评价与提升策略研究
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摘要
通过提供满足客户需求的各种服务性活动,企业不仅能有效提升自身的竞争能力,而且能实现良好的客户满意、客户忠诚和企业绩效。因此,如何对企业现有的物流客户服务进行分析和评价,进而为客户提供优质服务显得尤为重要。然而,物流活动的多样性、复杂性以及经营管理主体的多方性,决定了物流客户服务绩效评价指标的多维性。所以,如何选择合理的指标和方法对于正确衡量物流客户服务绩效具有重要的意义。同时,当今市场的竞争已不再是企业与企业之间的竞争,而是供应链与供应链之间的竞争,物流客户服务不仅会对其客户企业产生各方面的影响,而且会对客户企业所处的供应链产生全方位的影响。基于此,本文提出从供应链视角研究物流客户服务绩效评价问题,主要研究内容和创新性成果总结如下
     提出了物流客户服务绩效评价特点与评价方法。在分析物流客户服务特点及物流客户服务绩效评价应遵循的原则的基础上,本文对各类绩效评价方法进行了比较研究,包括供应链绩效评价模型的分析与选择以及物流客户服务绩效评价方法的分析与比较,提出了供应链视角下物流客户服务绩效评价方法:用德尔菲法选择评价指标,用模糊层次分析法确定各指标的权重。
     设计了基于供应链视角的物流客户服务绩效评价指标体系。应用德尔菲法甄选出时间、成本和质量作为一级指标,提出了更能体现供应链整体性的二级指标,如订单完成周期时间、成本分摊和完美订单满足率,对每个评价指标的含义及定性、定量指标进行了划分,并用模糊层次分析法对各评价指标的影响作用大小(即权重)进行了分析计算,得出了时间指标在供应链视角下物流客户服务绩效评价中的影响作用比成本指标和质量指标更为重要的结论。
     构建了基于供应链视角的物流客户服务绩效评价流程与控制机制。运用PDCA管理思想,本文设计了供应链视角下物流客户服务绩效评价流程,并提出了各个评价环节的控制要点:以供应链整体战略为起点,建立物流客户服务绩效目标体系;根据评价指标的性质和特点选择具体的评价方法;组织实施物流客户服务绩效评价;根据评价结果对评价系统进行持续改进。
     给出了物流客户服务绩效提升策略。针对当前企业物流客户服务存在的主要问题,阐明了物流客户服务绩效提升思路和着力点,并分别从时间、成本和质量三个方面提出了物流客户服务绩效提升策略。应注意的是,有些指标之间存在着此消彼长的关系,因而在实践中应根据企业和供应链的特点把握各策略的实施力度,以保证供应链整体绩效的最优化。
By providing various customers service activities, enterprises can not only effectively enhance competition ability, but also achieve good customer satisfaction, customer loyalty and enterprise performance. Therefore, how to analyse and evaluate the enterprises' existing logistics customer service, and then provides the high-quality service for the customer is particularly important. However, the logistics activity and the diversity and complexity of the main body of the management of many, decide the logistics customer service performance evaluation index of multidimensionality. So, how to choose reasonable index and methods for the right to measure customer service logistics performance is of great significance. At the same time, today's market competition is no longer enterprise and the competition between the enterprises, but the supply chain and the competition between the supply chain, logistics customer service to its customers not only enterprise can produce various aspects of the influence, but also to the customer in the enterprise supply chain the influence of the overall influence. Based on this, this dissertation proposes from perspectives of supply chain logistics customer service performance evaluation, the main research contents and innovative achievements summarized as follows:
     First, we have characterized the logistics customer service performance evaluation and proposed an evaluation method. On the analysis of the logistics customer service characteristics and logistics customer service performance evaluation principles should be followed, and on the basis of of all kinds of performance evaluation method, this dissertation is to comparative study, including supply chain performance evaluation model analysis and choice and logistics customer service performance evaluation methods of analysis and comparison, put forward under the perspective of supply chain logistics customer service performance evaluation method:with the Delphi method choice evaluation index, using the fuzzy analytic hierarchy process to determine the weights of the index.
     Second, we have proposed a logistics customer service performance evaluation index system based on the perspective of supply chain, we used the Delphi method to select the time, cost and quality as the primary index, puts forward can reflect the whole supply chain more secondary indexes, such as the completion of orders for cycle time, cost allocation and perfect order fill rate, for every evaluation index of the meaning and the qualitative and quantitative index are classified, and the fuzzy analytic hierarchy process to the influence of every evaluation index function size (i.e. weight) is analyzed and calculated, and draw the conclusion that time in the supply chain, from the perspective of logistics index customer service performance evaluation than the influence of cost index and quality index more important conclusion.
     Besides, we have proposed a logistics customer service performance evaluation process and control mechanism based on the perspective of supply chain. We used PDCA management thoughts in this dissertation, from the perspective of supply chain logistics customer service performance evaluation process, and put forward the control of all the evaluation link points:to supply chain strategy as a starting point, establish the logistics customer service performance target system; According to the evaluation index of the nature and characteristics of the evaluation method select a specific; Implement logistics customer service performance evaluation; According to the evaluation results of assessment system for continuous improvement.
     Finally, we have concluded the performance elevating strategies for logistics customer service. In view of the current enterprise logistics customer service, the main problems of illuminates the logistics customer service performance improvement ideas and focus, and separately from the time, cost and quality put forward three logistics customer service performance improvement strategy. Should pay attention, some indicators there is a reciprocal relationship between, so in practice should be based on the characteristics of the enterprise and supply chain grasp the strategy for the implementation of dynamics, to ensure the optimization of supply chain performance.
引文
[1]Arnold, U.. New dimensions of outsourcing:a combination of transaction cost economics and the core competencies concept [J]. European Journal of Purchasing and Supply Management,2000(6):23-29.
    [2]Arntzen, B. C., Brown, G. G., Harrison, T. P.. Global supply chain management at digital equipment corporation [J]. Interfaces,1995,25:69-93.
    [3]Anthony, R., Cornelia, D.. An integrated benchmarking approach to distribution center performance using DEA modeling [J]. Journal of Operations Management, 2002,20:19-32.
    [4]Aramyan, L. H., Lansink, A. G. J. M., Vorst, J. G. A. J., Kooten, O.. Performance measurement in agri-food supply chains:a case study [J]. Supply Chain Management:An International Journal,2007,12(4):304-315.
    [5]Ballou, H. R.. Business Logistics Management [M]. New Jersey:Prenitice Hall, 1992.
    [6]Barad, M., Sapir, D. E.. Flexibility in logistic systems-modeling and performance evaluation [J]. International Journal of Production Economics,2003,85:155-170.
    [7]Bazire, M., Brezillon, P.. Understanding context before using it [J]. Modeling and Using Context,2005:29-40.
    [8]Beamon, B. M.. Supple chain design and analysis:model and methods [J]. International Journal of Production Economics,1998,55(3):281-294.
    [9]Beamon, B. M.. Measuring pupply chain performance [J]. International Journal of Operations & Production Management,1999,19(3):275-292.
    [10]Bechtel, C., Jayaram, J.. Supply chain management-A strategic perspective [J]. International Journal of Logistics Management,1997,8(1):15-34.
    [11]Bhagwat, R., Sharma, M. K.. Performance measurement of supply chain management:A balanced scorecard approach [J]. Computers & Industrial Engineering,2007,53(1):43-62.
    [12]Boender, Graan, Lootsma. Multi-criteria decision analysis with fuzzy pairwise comparisons [J]. Fuzzy Sets and Systems,1989,29(2):133-143.
    [13]Bozarth, C. C., Warsing, D. P., Flynn, B. B., et al. The impact of supply chain complexity on manufacturing plant performance [J]. Journal of Operations Management,2009,27(1):78-93.
    [14]Brewer, P. C., Speh, T. W.. Using the balanced scorecard to measure supply chain performance [J]. Journal of Business Logistics,2000,21(1):75-93.
    [15]Briggs, E., Landry, T. D., Daugherty P J. Investigating the influence of velocity performance on satisfaction with third party logistics service [J]. Industrial Marketing Management,2010,39(4):640-649.
    [16]Buckley, J. J.. Fuzzy hierarchical analysis [J]. Fuzzy Sets and Systems,1985,17: 233-247.
    [17]Cai, J., Liu, X. D., Xiao, Z. H., Liu, J.. Improving supply chain performance management A systematic approach to analyzing iterative KPI accomplishment [J]. Decision Support Systems,2009,46(2):512-521.
    [18]Charnes, A., Cooper, W. W., Seiford, L., Stutz, J.. A multiplicative model for efficiency analysis [J]. Socio-Economic Planning Sciences,1982,16(5):223-224.
    [19]Chan, F. T. S.. Performance measurement in a supply chain [J]. International Journal of Advanced Manufacturing Technology,2003,21(7):534-548.
    [20]Chan, F. T. S., Kumar, N., Tiwari, M. K., et al. Global supplier selection:a fuzzy-AHP approach [J]. International Journal of Production Research,2008, 46(14):3825-3857.
    [21]Chan, F. T. S., Zhang, M. T.. The impact of collaborative transportation management on supply chain performance:A simulation approach [J]. Expert Systems with Applications,2011,38(3):2319-2329.
    [22]Chang, D.Y.. Extent analysis and synthetic decision [J]. Optimization Techniques and Applications,1992(1):352-360.
    [23]Chang, D.Y.. Applications of the extent analysis method on fuzzy AHP [J]. European Journal of Operational Research,1996,95(3):649-655.
    [24]Chang, J. I., Liang, C. L.. Performance evaluation of process safety management systems of paint manufacturing facilities [J]. Journal of Loss Prevention in the Process Industries,2009,22:398-402.
    [25]Chari, M. D. R., Devaraj, S., David, P.. The impact of information technology investments and diversification strategies on firm performance [J]. Management Science,2008,54(1):224-234.
    [26]Chen, C., Yan, H.. Network DEA model for supply chain performance evaluation [J]. European Journal of Operational Research,2011,213(1):147-155.
    [27]Chen, M., Deng, J. H., Zhou, F. D., et al. Improving the management of anemia in hemodialysis patients by implementing the continuous quality improvement program [J]. Blood Purification,2006,24(2):282-286.
    [28]Chen, Y. C.. An application of fuzzy set theory to the external performance evaluation of distribution centers in logistics [J]. Soft Computing,2002,6:64-70.
    [29]Cho, J. K., Ozment, J., Sink, H.. Logistics capability, logistics outsourcing and firm performance in an e-commerce market [J]. International Journal of Physical Distribution & Logistics Management,2008,38(5):336-359.
    [30]Cohen, M. A., Lee, H. L.. Strategic analysis of integrated production-distributed systems:models and methods [J]. Operations Research,1988,36(2):216-228.
    [31]Cohen, S., Roussel, J.. Strategic Supply Chain Management:the Five Disciplines for Top Performance [M]. McGraw-Hill,2004.
    [32]Cooper, M., Lambert, D., Pagh, J.. Supply chain management:more than a new name for logistics [J]. The International Journal of Logistics Management,1997, 8(1):1-14.
    [33]Culliane, K., Wang, T. F., Song, D.W., Ji, P.. The technical efficiency of container ports:Comparing data envelopment analysis and stochastic frontier analysis [J]. Transportation Research Part A,2006,40:354-374.
    [34]Deming, W. E.. The New Economics:For Industry, Government, Education [M]. Cambridge, MA:MIT, Center for Advanced Educational Services,1994.
    [35]Degraeve, Z.. An Evaluation of Vendor Selection Models from a Total Cost of Ownership Perspective European [J]. European Journal of Operational Research, 2002(12):34-58.
    [36]Disney, S. M., Naim, M. M., Potter, A.. Assessing the impact of e-business on supply chain dynamics [J]. International Journal of Production Economics,2004, 89:109-118.
    [37]Dyer, J. H.. Effective interfirm collaboration:how firms minimize transaction costs and maximize transaction value [J]. Strategie Management Journal,1997,18(7): 553-556.
    [38]Duffy, R., Fearne, A.. The impact of supply chain partnerships on supplier performance [J]. The international journal of logistics management,2004,15(1): 57-71.
    [39]E1-Baz, M. A.. Fuzzy performance measurement of a supply chain in manufacturing companies [J]. Expert Systems with Applications,2011,38(6): 6681-6688.
    [40]Ellinger, A. E., Ketchen, D. J., Hult, G. T. M., et al. Market orientation, employee development practices, and performance in logistics service provider firms [J]. Industrial Marketing Management,2008,37(4):353-366.
    [41]Ersoy, F. F.. Improving technique survival in peritoneal dialysis:What is modifiable? [J]. Peritoneal Dialysis International,2009,29(2):S74-S77.
    [42]Estampe, D., Lamouri, S., Paris, J.L., Brahim-Djelloul, S.. A framework for analysing supply chain performance evaluation models [J]. International Journal of Production Economics,2010.11.27.
    [43]Evangelos, I. K., Somchai, P., Ali, H.. Efficiency measurement of US ports using Data envelopment analysis [C]. National Urban Freight Conference,2006,2:1-3.
    [44]Fabbe-Costes, N., Colin, J.. Formulating a logistics strategy [J]. Global Logistics: New Directions in Supply Chain Management,2007,5:33-54.
    [45]Fawcett, S. E., Cooper, M. B.. Logistics performance measurement and customer success [J]. Industrial Marketing Management,1998,27(4):341-357.
    [46]Gallagher, J. D., Smith, D. H.. Applying total quality management to education and training:A US based study [J]. International Journal of Training and Development, 1997,1(1):62-71.
    [47]Ganeshan, R., Boone, T, Stenger, A. J.. The impact of inventory and flow planning parameters on supply chain performance:An exploratory study [J]. International Journal of Production Economics,2001,71:111-118.
    [48]Garver, M. S., Mentzer, J. T.. Logistics research methods:Employing structural equation modeling to test for construct validity [J]. Journal of Business Logistics, 1999,20:33-55.
    [49]Gimenez, C., Ventura, E.. Logistics-production, logistics-marketing and external integration:Their impact on performance [J]. International Journal of Operations& Production Management,2005,25(1):20-38.
    [50]Green, K. W., Whitten, D., Inman, R. A.. The impact of logistics performance on organizational performance in a supply chain context [J]. Supply Chain Management:An International Journal,2008,13(4):317-327.
    [51]Gunasekaran, A., Paterl, C.. Performance measures and metrics in a supply chain environment [J]. International Journal of Operations and Production Management, 2001,21(1/2):71-87.
    [52]Gunasekaran, A., Patel, C., McGaughey, R. E.. A framework for supply chain performance measurement [J]. International Journal of Production Economics, 2004,87(3):333-347.
    [53]Haas, D. A., Murphy, F. H., Lancioni, R. A.. Managing reverse logistics channels with data envelopment analysis [J]. Transportation Journal,2003,42(3):59-69.
    [54]Hallwell, M. R., Gambatese, J. A.. Qualitative research:application of the Delphi method to CEM research [J]. Journal of Construction Engineering and Management,2010(1):99-108.
    [55]Harding, F. E.. Logistics service provider quality:Private measurement evaluation and improvement [J]. Journal of Business Logistics,1998,19(1):103-120.
    [56]Hsiao, H. I., Kemp, R. G. M., van der Vorst, J. G. A.J., Omta, S. W. F.. A classification of logistic outsourcing levels and their impact on service performance: Evidence from the food processing industry [J]. International Journal of Production Economics,2010,124(1):75-86.
    [57]Hull, B.. The role of elasticity in supply chain performance [J]. International Journal of Production Economics,2005,98:301-314.
    [58]Jammernegg, W., Reiner, G.. Performance improvement of supply chain processes by coordinated inventory and capacity management [J]. International Journal of Production Economics,2007,108(1-2):183-190.
    [59]Jarvinen, J., Perklen, E., Kaila-Stemberg, S., et al. PDCA-cycle in implementing design for environment in an R&D unit of Nokis Telecommunications [C]. Electronics and Environment. Proceedings of the 1998 IEEE International Symposium on May,1998:237-242.
    [60]Jharkharia, S., Shankar, R.. Selection of logistics service provider:An analytic network process (ANP) approach [J]. Omega,2007,35(3):274-289.
    [61]Jin, H., Huang, H., Dong, W., et al. Preliminary experience of a PDCA-cycle and quality management based training curriculum for rat liver transplantation [J]. The Journal of Surgical Research,2011(11):1-14.
    [62]Kaplan, R. S., Norton, D. P.. The balanced scorecard-measures that drive performance [J]. Harvard Business Review,1992:71-79.
    [63]Khan, A., Bakkappa, B., Metri, B. A., Sahay, B. S.. Impact of agile supply chains' delivery practices on firms'performance:cluster analysis and Validation [J]. Supply Chain Management:An International Journal,2009,14(1):41-48.
    [64]Kleijnen, J. P. C., Smits, M. T. Performance metrics in supply chain management [J]. Journal of the Operational Research Society,2003,54(5):507-514.
    [65]Korpela, J., Tuominen, M., Valoaho, M.. An analytic hierarchy process-based approach to the strategic management of logistic service:An empirical study in the mechanical forest industry [J]. International Journal of Production Economics, 1998(56/57):303-318.
    [66]Kwong, C. K., Bai, H.. Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach [J]. HE Transaction,2003,35(7):619-626.
    [67]Lai, K. H., Christina, W. Y. W., Cheng, T. C. E.. A coordination-theoretic investigation of the impact of electronic integration on logistics performance [J]. Information & Management,2008,45(1):10-20.
    [68]Lai, K. H.. Service capability and performance of logistics service providers [J]. Transportation Research Part E:Logistics and Transportation Review,2004,40(5): 385-399.
    [69]Lai, K. H., Ngai, E. W. T., Cheng, T. C. E.. Measures for evaluating supply chain performance in transport logistics [J]. Transportation Research Part E:Logistics and Transportation Review,2002,38(6):439-456.
    [70]Lambert, D., Cooper, M.. Issues in supply chain management [J]. Industrial Marketing Management,2000,29:65-83.
    [71]Lee, H. L., So, K. C., Tang, C. S.. The value of information sharing in a two-level supply chain [J]. Management Science,2000,46 (5):626-643.
    [72]Levy, D. L.. International sourcing and supply chain stability [J]. Journal of International Business Studies,1995,26(2):343-360.
    [73]Li, G, Yang, H. J., Sun, L. Y.. The impact of IT implementation on supply chain integration and performance [J]. International Journal of Production Economics, 2009,120:125-138.
    [74]Li, S. H., Rao, S., Ragu-Nathan, T. S.. Development and validation of measurement instrument for studing supply chain management practices [J]. Journal of Operations Management,2005,23:618-641.
    [75]Lin, F. R., Sung, Y. W., Lo, Y. P.. Effects of trust mechanisms on supply-chain performance:A multi-agent simulation study [J]. International Journal of Electronic Commerce /Summer,2005,9(4):91-112.
    [76]Lin, W., Liu, C., Chu, C Performance efficiency evaluation of Taiwan's shipping industry [J]. International Journal of Global Logistics & Supply Chain Management,2006,1(1):41-50.
    [77]Liu, Z. X., Xu, J., Li, Y., et al. Using system dynamics to study the logistics outsourcing cost risk [J]. Kybernetes, Forthcoming (2012).
    [78]Liu, C. L., Lyons, A. C.. An analysis of third-party logistics performance and service provision [J]. Transportation Research Part E:Logistics and Transportation Review,2011,47(4):547-570.
    [79]Lockamy Ⅲ, A., McCormack. The development of a supply chain management process maturity model using the concepts of business process orientation [J]. Supply Chain Management:An International Journal,2004,9(4):272-278.
    [80]Lummus, R. R., Vokurka, R. J., Alber, K. L.. Strategic supply chain planning [J]. Produetion and Inventory Management,1998(3):49-58.
    [81]Melnyk, S., Lummus, R., Vokurka, R., et al. Mapping the future of supply chain management:a Delphi study [J]. International Journal of Production Research, 2009,47(16):4629-4653.
    [82]Mentzer, J. T., Konrad, B. P.. An efficiency/effectiveness approach to logistics performance analysis [J]. Journal of Business Logistics,1991,12(1):33-61.
    [83]Miller, C. A.. The nature and design of supply chain performance measurement systems-An empirical study [D]. The Pennsylvania State University,2001.
    [84]Min, H., Joo, S. J.. Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis [J]. Supply Chain Management:An International Journal,2006,11(3):259-265.
    [85]Min, S., Mentzer, J. T.. Developing and measuring supply chain concept [J]. Journal of Business Logistics,2004,25(1):63-99.
    [86]Min. H., Park, B. I.. Evaluating the inter-temporal efficiency trends of international container terminals using data envelopment analysis [J]. International Journal of Integrated Supply Management,2005,1(3):258-277.
    [87]Narasimhan, R., Talluri, S., Mendez, D.. Supplier evaluation and rationalization via data envelopment analysis:an empirical examination [J]. The Journal of Supply Chain Management,2001,37(1):28-37.
    [88]Pache, G., Spalanzani, A.. La gestion des chaines logistiques multi-acteurs: perspectives strategiques [M]. France:Presses Universitaires De Grenoble,2007.
    [89]Power, D., Sharafali, M., Bhakoo, V.. Adding value through outsourcing Contribution of 3PL services to customer performance [J]. Management Research News,2007,30(3):228-235.
    [90]Panayides, P. M., Venus, Lun. Y. H.. The impacet of trust on innovativeness and supply chain performance [J]. International Journal of Prodution Economics,2009, 122:35-46.
    [91]Ramanathan, R.. The moderating roles of risk and efficiency on the relationship between logistics performance and customer loyalty in e-commerce [J]. Transportation Research Part E:logistics and Transportation Review,2010,46(6): 950-962.
    [92]Reniers, G. L. L., Cremer, K., Buytaert, J.. Continuously and simultaneously optimizing an organization's safety and security culture and climate:the Improvement Diamond for Excellence Achievement and Leadership in Safety & Security (IDEAL S&S) model [J]. Journal of Cleaner Production,2011,19(11): 1239-1249.
    [93]Saaty, T. L.. The Analytic Hierarchy Process [M]. New York:McGraw-Hill Book Co,1980.
    [94]Sharma, M. K., Bhagwat, R.. An integrated BSC-AHP approach for supply chain management evaluation [J]. Measuring Business Excellence,2007,11(3):57-68.
    [95]Shepherd, C., Gunter, H.. Measuring supply chain performance:current research and future directions [J]. International Journal of Productivity and Performance Management,2006,55(3-4):242-258.
    [96]Simatupang, T. M., Sridharan, R.. A benchmarking scheme for supply chain collaboration [J]. Benchmarking:An International Journal,2004,1(1):9-30.
    [97]Sohail, M. S., Sohal, A. S.. The use of third party logistics:a Malaysian perspective [J]. Technovation,2003,23:401-408.
    [98]Stank, T. P., Goldsby, T. J., Vickery, S. K., Savitskie, K.. Logistics service performance:estimating its influence on market share [J]. Journal of Business Logistics,2003,24(1):27-46.
    [99]Sun, S. Y, Hsu, M. H.. The impact of alignment between supply chain strategy and environmental uncertainty on SCM performance [J]. Supply chain management: An International Journal,2009,14(3):201-212.
    [100]Tan, K. C., Lyman, S. B., Wisner, J. D.. Supply chain management:a strategic perspective [J]. International Journal of Operations and Production Management, 2002,22(6):614-631.
    [101]Toni, A. D., Tonchia, S.. Performance measurement systems:models, characteristics, and measures [J]. International Journal of Operations and Production Management,2001,21(1/2):46-70.
    [102]Torkki, P. M., Alho, A. I., Peltokorpi, A. V., et al. Managing urgent surgery as a process:Case study of a trauma center [J]. International Journal of Technology Assessment in Health Care,2006,22:255.
    [103]Trkman, P., Stemberger, M. I., Jaklic, J., Groznik, A.. Process approach to supply chain integration [J]. Supply Chain Management:An International Journal,2007, 12 (2):116-128.
    [104]Vachon, S., Klassen, R.. An exploratory investigation of the effects of supply chain complexity on delivery performance [J]. IEEE Transactions on Engineering Management,2002,49(3):218-230.
    [105]Weber, C. A., Current, J. R., Benton, W. C.. Vendor selection criteria and methods [J]. European Journal of Operational Research,1991,50:2-18.
    [106]Williams, H. F., Fallone, S.. CQI in the acute care setting:An opportunity to influence acute care practice [J]. Nephrology Nursing Journal,2008,35(5): 515-522.
    [107]Wong, W. P., Wong, K. Y.. A review on benchmarking of supply chain performance measures [J]. Benchmarking:An International Journal,2008,15(1):25-51.
    [108]Wu, F., Yeniyurt, S., Kim, D., Cavusgil, S. T.. The impact of information technology on supply chain capabilities and firm performance:A resource-based view [J]. Industrial Marketing Management,2006,35:493-504.
    [109]Bolumole, Y. A.. Evaluating the supply chain role of logistics service providers [J]. International Journal of Logistics Management,2003,14(2):93-107.
    [110]Zelbst, P. J., Green, K. W., Sower, V. E., et al. Impact of supply chain linkages on supply chain performance [J]. Industrial Management & Data Systems,2009, 109(5):665-682.
    [111]Zhou, G. G., Min, H., Xu, C., Cao, Z. Y. Evaluating the comparative efficiency of Chinese third-party logistics providers using data envelopment analysis [J]. International Journal of Physical Distribution & Logistics Management,2008, 38(4):262-279.
    [112]Zhu, K. J., Jing, Y., Chang, D. Y.. A discussion on extent analysis method and applications of fuzzy AHP [J]. European Journal of Operational Research,1999, 116(2):450-456.
    [113]曹书民PDCA循环在企业绩效管理系统中的运用[J].价值工程,2008(6):103-106.
    [114]陈雯,张强.第三方物流客户服务绩效的灰色模糊综合评价模型[J].模糊系统与数学,2007,21(2):148-154.
    [115]陈志祥.AHP方法在敏捷供应链协调绩效评价决策系统的应用[J].计算机工程与应用,2003,33:33-41.
    [116]方永美,刘伟章,杨振刚,陆翠萍.基于PCA的生产企业物流绩效评价[J].工业工程,2011(1):90-93.
    [117]付秋芳.基于时间竞争的供应链周期时间结构特征研究[D].华中科技大学,2005.
    [118]高健.主成分分析模型在衡量物流客户服务水平中的应用[J].统计与决策,2009(15):156-157.
    [119]黄福华,满孜孜.供应链博弈下零售企业物流绩效动态测评实证研究[J].系统工程,2006,24(10):34-38.
    [120]霍佳震,周敏.物流绩效管理[M].北京:清华大学出版社,2009.
    [121]焦新龙,刘雪莲,马天山.港口物流绩效定量评价理论及应用[J].经济地理,2009,29(12):2034-2038,2079.
    [122]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):104-106.
    [123]李丰生,何原荣,陆琳.基于n人合作对策的LBS价值链收益分配研究[J].价值工程,2005(5):25-27.
    [124]李文静.零售企业物流绩效评价研究[D].东北财经大学,2009.
    [125]廖成林,刘学明,李忆,仇明全.供应链管理实施与组织绩效的关系实证分析[J].共业工程与管理,2008(1):89-93.
    [126]林正平.供应链联盟环境中第三方物流企业系统性绩效管理[D].同济大学,2006.
    [127]刘秉镰,王鹏姬.基于平衡计分卡的物流企业绩效层次分析[J].中国流通经济,2003(7):58-61.
    [128]刘小群,马士华.支持快速客户响应的敏捷物流运作技术与方法[J].科研管理,2007,28(2):152-159,151.
    [129]罗明,马卫,周叶.供应链生命周期下的绩效评价指标体系研究[J].物流技术,2007(10):81-85.
    [130]娄平,陈幼平,周祖德,艾武,罗文波.基于多智能agent的敏捷供应链[J].计算机工程与应用,2002(5):43-45.
    [131]马士华,李华焰,林勇.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,2002(4):5-10.
    [132]马士华,林勇.供应链管理[M].北京:高等教育出版社,2006.
    []33]马雪芬,刘易勇,孙树栋,吴秀丽.供应链管理环境下第三方物流企业的评价选择[J].计算机工程与应用,2003(2):7-9.
    [134]潘文荣.企业物流绩效评价指标体系的构建[J].统计与决策,2005(11)(下):162-163.
    [135]史成东,陈菊红,张雅琪.物流公司绩效的DEA交叉评价[J].系统工程,2010,28(1):47-52.
    [136]孙宏岭,戚世均.现代物流活动绩效分析[M].北京:中国物资出版社,2001.
    [137]谭勇,马士华,龚凤美.物流运作能力对供应链绩效影响的实证研究[J].复旦学报(自然科学版),2007,46(4):450-456.
    [138](美)唐纳德J.鲍尔索克斯,戴维J.克劳斯.物流管理[M].北京:机械工业出版社,1999.
    [139](美)唐纳德J.鲍尔索克斯,戴维J.克劳斯,M.比克斯比·库珀著.供应链物流管理[M].马士华,黄爽译.北京:机械工业出版社,2010.
    [140]王鹏姬,陈柳钦.平衡记分法在物流服务企业效绩评价中的应用[J].财会通讯,2003(8):24-25.
    [141]王勤志,张坚.上海世博会物流服务绩效评价实证研究[J].工业工程与管理,2010,15(1):108-115.
    [142]王文宾,赵庆祯.评估物流企业客户服务水平的Fuzzy-DEA方法[J].计算机工程与应用,2006(9):230-232.
    [143]徐贤浩,马士华,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.
    [144]杨柏.基于平衡记分卡的汽车企业动态联盟供应链绩效评价研究[J].管理世界,2007(8):161-162.
    [145]杨洁.基于PDCA循环的内部控制有效性综合评价[J].会计研究,2011(4):82-87.
    [146]殷梅英,王梦光,刘士新.供应链分销阶段运作绩效评价[J].系统工程理论方法应用,2004,13(5):400-403.
    [147]赵林度.基于绩效分析与关键控制点的物流系统控制[J].东南大学学报(自然科学版),2007,37:231-236.
    [148]赵培忻,赵庆祯.物流客户服务水平的模糊评价方法[J].物流技术,2003(12):50-51.57.
    [149]郑传锋.基于平衡记分卡的供应链绩效评价指标体系研究[J].中国物流与采购,2005(10):68-70.
    [150]周云飞.基于PDCA循环的政府绩效管理流程模式研究[J].情报杂志,2009,28(10):72-75,84.

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