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基于个性化需求服务供应链运作模式研究
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摘要
从生产模式演变的角度来看,个性化模式已成为一种趋势。而服务产品具有典型的个性化特征,随着服务产品在国民经济中所占比重越来越高,因此有必要对服务产品在个性化趋势下的运作问题进行专门研究。本文尝试建立基于个性化需求服务供应链运作模式的雏形,旨在突出服务供应链运作中如何更有效地满足客户的个性化需求。具体来讲,主要做了以下几个方面的工作:
     (1)对国内外研究现状进行了分析。论文对国内外研究现状进行了分析,在现状分析的基础上,提出了从“个性化需求”的角度来分析研究服务供应链。对论文研究的实践和理论意义进行了阐述。并采取多学科、多方法集成,系统性分析和重点性研究相结合,理论研究与实证分析相结合,定性研究与定量分析相结合的研究方法来完成“基于个性化需求服务供应链运作模式研究”的研究工作。
     (2)个性化需求的定义、分类及其定量描述。论文站在从大规模生产、大规模定制到个性化模式演变的角度,对个性化需求进行了定义,指出了个性化需求与大规模需求、定制化需求的异同;从消费者购买动机、消费者心理、市场营销学等方面对个性化需求进行了分类,并结合个性化的相关性、自相关性以及需求数量分布特性对个性化需求进行了定量描述。
     (3)基于个性化需求服务供应链模型。论文提出的基于个性化需求服务供应链(Individual Demand-oriented Service Supply Chain, IDOSSC)模型,以个性化需求的获取、分析、处理和实现为主线,通过对个性化需求预测和个性化服务能力管理,把握客户需求的变动和趋势,为实现新的价值增长点提供支持。
     (4)基于个性化需求服务供应链运作模式。论文从运作流程、运作组织、构建过程三个方面对IDOSSC运作模式进行了分析。运作流程以客户的个性化需求为导向,划分为对客户需求的获取、分析、处理及实现四个阶段;运作组织以合作共同体为架构,根据个性化需求、而不仅只是提供一般性服务的思路,进行了组织重构;构建过程探讨了从客户提出个性化需求(服务请求)开始,到整个服务供应链建立的一个完整过程。
     (5)个性化需求预测方法。针对个性化需求随机性和自相关性的特点,论文引入模糊权马尔可夫模型应用于个性化需求预测中,论述了其必要性及可行性,阐明了预测的具体步骤:利用销售序列的均方差建立分级标准,以规范化的各阶自相关系数为权重,结合转移概率矩阵计算出预测时段的状态概率,通过模糊集理论中级别特征值求出具体的个性化需求预测量。
     (6)个性化服务能力测评。论文对个性化服务能力进行了定义,借鉴GAP差距模型,对个性化服务能力测评原理和测评指标进行了系统分析和梳理,提出了包括7大类22个具体指标的测评体系;并采用主成分分析法和熵值法相结合的方法,设计了个性化服务能力的计算步骤和定量算法。
     (7)实证分析。以LJ公司物流服务供应链为例,从运作过程设计、个性化需求分析、个性化服务能力等方面对物流服务供应链项目进行了设计分析,简要说明IDOSSC在实际中的应用。
     (8)研究展望。论文指出了今后的研究方向:IDOSSC在具体不同服务行业中的应用;个性化需求预测如何实现服务产品类别及属性的预测;个性化服务能力与个性化需求的协同运作问题。
ABSTRACT:From the perspective of the evolution of production patterns, Individual Model has become a trend. There are typical individual characteristics for the service product. With service offerings in the growing share of the national economy, it is necessary to specialized research on the operation of service products under the individual trend. This paper attempts to create a prototype model of services supply chain under the Individual Mode. It is designed to highlight how to more effectively meet the customer's individual demand in the operation of service supply chain. Specifically, there are mainly the following aspects of work:
     (1) Analysis on the current situation of domestic and foreign research. Thesis research status was analyzed with domestic and foreign research. It is put forward from the "individual demand" perspective to analyze the research of service supply chain. The practice of the thesis and theoretical significance are described. And with multi-disciplinary, multi-method integration, systematic analysis and focused research combining theoretical study and empirical analysis, qualitative and quantitative analysis of research methods, it is to complete the research work "operation mode of individual demand-oriented service supply chain (IDOSSC)".
     (2) The definition, classification and quantitative description of individual demand. Standing the perspective of the evolution from Mass Production, Mass Customization to Individual Mode, the individual demand is defined, and it is pointed out that the similarities and differences of individual demand and large-scale demand, and customized demand. Meanwhile, individual demand is development direction of large-scale demand, customized demand. From the perspectives of consumer purchasing motivation, consumer psychology, marketing and other, individual demand was classified. Individual demand was quantitative descripted, combined the three aspects with self-correlation, correlation and quantitative distribution of individual demand.
     (3) The model of Individual Demand-oriented Service Supply Chain (IDOSSC). In IDOSSC model, the main line is the acquisition, analysis, processing and realization of the individual demand. Through the individual demand forecasting and individual service capacity management, service integrators grasp the changes of the customer demand, and constantly develop and seek new value growth.
     (4) The operation methods of IDOSSC. The operation mode of IDOSSC was analyzed from the operational process, operational organization, and building process. Its operation process is divided into four stages:obtaining customer demand, analyzing customer demand, handling customer demand and achieving customer needs; The marks of Individuation is that the target of any business is not only to provide services to consumers, but also re-establish business organizational structure according to the individual demand of consumers, the organizational structure is the cooperative community. It is discussed that from the customer individual demand (service requests), the entire service supply chain was initially established as a complete process.
     (5) The forecasting methods of individual demand. According to the randomness and self-correlation of individual demand, it is discussed in the necessity and feasibility of the introduction of fuzzy Markov chain model with weights to predict the future individual demand. The specific steps are explained:set up the classification by the standard deviation of sales series, and weighted by the standardized self-coefficients, calculated the transition probability matrix and the state probability. Then, a concrete forecasting value was obtained by using the level characteristics value of fuzzy sets.
     (6) The assessment of individual service capacity. In this paper, the concept of individual service capacity is definite, and from the GAP model, it is system analysised that the assessment idea and evaluation indicators of individual service capacity, the formation of7categories of22specific indicators; and through the principal component analysis and entropy method are combined, the individual service capacity is assessed, the specific steps of assessment are described.
     (7) Empirical Research. By logistics service supply chain in LJ Company, the project is designed from the operation process designing, individual deamnd analysis, and individual service capabilities.
     (8) Prospects.The paper points out future research directions:IDOSSC in specific applications in different service industries; how to forecast the categories and attributes of service product; collaborative operational issues of individual service capabilities and individual demand.
引文
[1]程建刚,李从东.服务供应链研究综述[J].现代管理科学,2008,(9):101-102.
    [2]刘伟华,季建华.服务供应链:供应链研究的新趋势.2006-2007中国物流学术前沿报告[M].北京:中国物资出版社,2006:1-9.
    [3]刘丽文.服务运营管理[M].北京:清华大学出版社.2004:2-3.
    [4]Frank Quinn. Don't forget the service supply chain[J].Supply Chain Management Review. 2004, (8):7.
    [5]Lisa M. Ellram, Wendy L.T. Corey B. Understanding and Managing the Service Supply Chain[J]. Journal of Supply Chain Management.2004, (Fall):17-32.
    [6]Dirk de Waart, Steve Kremper.5 Steps to Service Supply Chain Excellence[J]. Supply Chain Management Review,2004,(1):28-36.
    [7]Jack S.Cook, Kathy DeBree, Amie Feroleto. From Raw Materials to Customers:Supply Chain Management in the Service Industry. SAM Advanced Management Journal. Autumn 2001. 66(4):14-21.
    [8]Richard Metters, Kathryn King-metters, Madeleine Pullman著,金马译,服务运营管理[M].北京:清华大学出版社.2004:5.
    [9]Edward G, Anderson JR., Douglas J., Morrice. A Simulation Game For Teaching Service Oriented Supply Chain Management:Does Information Sharing Help Managers With Service Capacity Decisions?[J]. Production and Operations Management; Spring 2000; 9,1.
    [10]Scotte S. Customer supplier duality and bidirectional supply chains in service organizations [J]. Int J Serv Industry Manage,2000, 11(4):348-364.
    [11]Henk Akkermans., BART V. Amplification In Service Supply Chains:An Exploratory Case Study From the Telecom Industry.[J]. Production And Operations Management.Vol.12, No.2, Summer 2003:204-224.
    [12]于亢亢.服务供应链的模型与构建[J].现代商业,2007,(21):157-158.
    [13]金立印.服务供应链管理、顾客满意与企业绩效[J].中国管理科学.2006.14(2):100—106.
    [14]张大陆,徐健,杨哲.分布式电子商务服务供应链建立过程简单模型[J].计算机工程,2005,31(23):48-51.
    [15]刘伟华,季建华,王振强.基于服务产品的服务供应链设计[J].工业工程.2008, 11(4):60-65.
    [16]田宇.物流服务供应链构建中的供应商选择研究[J].系统工程理论与实践,2003,(5):49-53.
    [17]申成霖,汪波.物流服务供应商的选择决策问题[J].南京林业大学学报(人文社会科学版).2005.5(1):72-7.
    [18]李万立.转型时期我国旅游供应链优化机制研究[D].山东师范大学.2006.
    [19]张英姿.初探旅游服务供应链管理[J].雁北师范学院学报.2005.21(2):22-24.
    [20]黄小军.旅游服务供应链协调机制与整体优化研究[D].南昌大学.2009.
    [21]陈小峰,李从东.住宅区多元物业服务与供应链管理的整合研究[J].工业工程.2004.7(4):41-45.
    [22]伍春,唐爱君.旅游供应链模式及其可靠性评价指标体系构建[J].江西财经大学学报. 2007,(5):107-109.
    [23]阳明明.香港的港口服务型供应链[J].中国物流与采购.2006,(10):56-58.
    [24]王玖河,夏炎,方淑芬.基于Stackelberg模型的港口供应链伙伴关系研究[J].燕山大学学报.2006,30(6):551-556.
    [25]张年,谢辉.港口供应链中船公司与货主协作关系初探[J].商场现代化.2008, (5):142-143.
    [26]李江帆.服务产品理论及其现实意义[J].教学与研究.2002, (2):27-32.
    [27]张树青.服务产品生产与消费过程的机理探析[J].当代经济研究.2007, 3:32-35.
    [28]马钦海,关志民.基于全顾客经历的服务产品结构化概念[J].管理评论.2004, 16(1):45-49.
    [29]雷蒙德P.菲斯克,史蒂句·格罗夫,乔比·约翰.互动服务营销[M].北京:机械工业出版社,2001.
    [30]Winter Nie, Deborah L Kellogg. How process of operations management view service operations[J]. Production and OperationsManagement,1999,8(3):339-355.
    [31]邓颖.服务的不可分割性、多变性及不可贮存性研究[J].中国民航学院学报.2001,19(2):30-32.
    [32]方艳丽,汪虹.数字教育服务链服务产品细分及模型分析[J].中国教育信息化.2010.11:6-9.
    [33]詹姆斯等.服务管理:运营、战略和信息技术[M].北京:机械工业出版社,2000.
    [34]卓可明,慈宜鹏.服务供应链与产品供应链的比较研究[J].商场现代化.2008, 7(544):144-145.
    [35]刘丽文.完整服务产品和服务提供系统的设计[J].清华大学学报(哲学社会科学版).2002,2(17):39-45.
    [36]菲利普·科特勒.专业服务营销[M].北京:中信出版社,2003.
    [37]G·佩里切利服务营梢学[M].北京:对外经济贸易大学出版社,2000.
    [38]约翰·E·贝特森,K·道格拉斯·霍夫曼.管理服务营悄[M].北京:中信出版社,2004.
    [39]Tuncdan Baltacioglu, Erhan Ada, Melike D Kaplan, et.al. A new framework for service supply chains[J]. The Service Industries Journal.2007,27(2):105.
    [40]詹蓉,陈荣秋.个性化需求分类的定量分析研究[J].软科学,2007, 21(3):5-8.
    [41]唐中君.个性化需求预测的基本原则研究[J].湖北经济学院学报,2005, 3(4):101-105.
    [42]唐中君.一种新型运作策略——按个性化需求预测生产[J].当代经济管理,2005, 27(4):64-68.
    [43]Frederick Winslow Taylor. The Principles of Scientific Management[M]. New York:W.W. Norton,1967.
    [44]Joann Muller. "A Ford Redesign" [J]. Business Week.2000, (13):79.
    [45]B·约瑟夫·派恩.大规模定制:新的竞争前沿[M].北京:中国人民大学出版社,2000.
    [46]李延来,蒲云,姚建明.MC下基于粗糙集的个性化需求挖掘模型[J].统计与决策.2006, 5:19-22.
    [47]Gilmore J H, Pine ⅡB. The four faces of mass customization[J]. Harvard Business Review, 1997, (1-2):91-101.
    [48]Ross A. Mass customization-selling uniqueness [J]. Manufacturing Engineer,1996, (6):260-263.
    [49]杰弗里·舒曼,贾尼丝·通布利,戴维·罗滕贝格.协同共赢:利用合作关系满足客户的个性化需求[M].陈景琏译.北京:机械工业出版社,2004.
    [50]Adrian J. Slywotzky, et al. How Digital Is Your Business?[M]. New York:Crown Business, 2000,.39.
    [51]张丙奇.个性化需求的描述、获取与推断-案例研究[D].北京:中国科学院研究生院,2005:14-18.
    [52]金芝.基于本体的需求自动获取[J].计算机学报,2000,23(5):486-492.
    [53]李虎林,姚青.提取个性化目标的需求分析方法[J].计算机工程与设计.2009, 30(9):2182-2186.
    [54]王显志,王忠杰,徐晓飞.面向服务整合的顾客个性化需求分类与描述方法[J].黑龙江大学自然科学学报.2009,26(5):622-626.
    [55]Jamshed J Mistry. Supply chain management:a case study of an integrated lean and agile model[J]. Qualitative Research in Accounting and Management,2005,2(2):193.
    [56]Margaret Bruce, Lucy Daly, Neil Towers. Lean or agile:a solution for supply chain management in the textiles and clothing industry[J]. International Journal of Operations & Production Management,2004,24(1/2):151-160.
    [57]Cem C, Drew R, Elizabeth A A. Just-in-time is not just for manufacturing:a service perspective[J]. Ind Manage& Data Syst,2000,100(2):51-60.
    [58]杨沁.个性化产品需求描述方法的研究[D].合肥工业大学.2005.
    [59]Ulwick A W. Turn Customer Input into Innovation[J]. Harvard Business Review,2002,80(1): 91-97.
    [60]文必龙,张全,马世滨.基于资源的需求描述方法[J].计算机工程与科学.2008, 30(10):531-831.
    [61]Philip Kotler. A Framework for Marketing Management[M]. 北京:北京大学出版社.2002: 72.
    [62]Gilbert A, Churchill, Jr/J, Paul Peter. Marketing:Creating Value for Customers[M]. Irwin McGraw-Hill Company,1998:101.
    [63]冯丽云.现代市场营销学[M].北京:经济管理出版社.1998, (8):171.
    [64]吴照云.市场营销学[M].北京:经济管理出版社.2001, (4):204.
    [65]Philip Kotler.科特勒市场营销教程[M].北京:华夏出版社.2001, (1):4.
    [66]龙璇.市场营销学[M].北京:对外经济贸易大学出版社.2002, (8):39.
    [67]朱明侠,李盾.网络营销[M].北京:对外经济贸易大学出版社.2002, (6):98.
    [68]威廉.D.皮诺特.营销精要[M].北京:北京大学出版社.2002,(1):107.
    [69]托马斯.N.伊格拉姆.专业化销售:基于信任的方式[M].北京:中信出版社.2003, (1):33.
    [70]Philip Kotler. Principles of Marketing[M].北京:清华大学出版社.1997:52.
    [71]Allen Z. Reich. Marketing Management for the Hospitality Industry[M]. John Wiley & Sons, Inc.1997:159.
    [72]张承津.论市场消费需求流行[J].商业研究.2005, 311(3):83.
    [73]严学军.企业营销知识全书[M].北京:经济管理出版社.1997,(2):161.
    [74]吴健安.市场营销学[M].北京:高等教育出版社.2001, (7):4.
    [75]李美云.论服务业的跨产业渗透与融合[J].外国经济与管理,2006,(10):25-33.
    [76]刘刚.基于消费者行为的葡萄酒需求开发[J].黑龙江对外经贸,2006, (11):49-50.
    [77]罗永泰,卢政营.需求解析与隐性需求的界定[J].南开管理评论.2006, 9(3):22-27.
    [78]唐中君,陈荣秋,纪雪洪.从需求侧研究基于时间的竞争:需求可视法[J].工业工程与管理,2005,10(3):82-87.
    [79]李维思,彭洁.基于用户需求特征的聚类搜索模型设计[J]..情报杂志,2009, 28(4):28-31.
    [80]董旭,魏振军.一种加权欧氏距离聚类方法[J].信息工程大学学报,2005, 6(1):23-25.
    [81]Bartezzagh E, Verganti R and Zotter G A Simulation Framework for Forecasting Uncertain Lumpy Demand[J]. International Journal of Production Economics.1999,59(1-3):499-510.
    [82]朱岩,林泽楠.电子商务中的个性化推荐方法评述[J].中国软科学.2009, (2):183-190.
    [83]Kevin Poole. Seizing the Potential of the Service Supply Chain[J]. Supply Chain Management Review. July,2003:54-61.
    [84]Ismail H S, Sharifi H. A balanced approach to building agile supply chains[J]. International Journal of Physical Distribution & Logistics Management,2006,36(6):431-444.
    [85]Song Danxia, Xiong Ying, Huang Weilai. Service Supply Chain:the Tendency of Supply Chain Management[C]. Proceedings of 6th Wuhan International Conference on E-Business,2007: 2954-2960.
    [86]Mabel C. Chou. Analysis of a Software-Focused Products and Service Supply Chain[J]. Transactions on Industrial Informatics, Vol.2, No.4,2006.
    [87]Anonymous. ERP brings express relief to service supply chain operation[J]. Serv Manage,2007: 4.
    [88]Allen S, A Chandrashekar. Outsourcing service:the contract is just beginning[J]. Business Horizons,2000(March-April):25-34.
    [89]William E. Youngdahl, Arvinder P.S. Loomba. Service-driven global supply chains [J]. International Journal of Service Industry Management, Vol.11 No.4,2000:329-347.
    [90]Kaushik Sengupta, DanielR. Heiser, Lori S. Cook. Manufacturing and Service Supply Chain Performance:A Comparative Analysis[J]. The Journal of Supply Chain Management, fall,2006, 4-15.
    [91]N. Saccani, et al. Configuring the after-sales service supply chain:A multiple case study[J]. International Journal of Production Economics.2007:1-18.
    [92]汪秀英.基于体验经济的消费者行为模式研究[D].大连:大连理工大学,2010.
    [93]约翰·加托纳.动态协同的供应链[M].赵海然译.北京:电子工业出版社,2007:38-39.
    [94]Barnard J H. A multi-view framework for defining the services supply chain using object-oriented methodology[D]. USA:Univ of Central Florida,2006.
    [95]石丽,李坚,李宏斌.电子商务供应链中零库存的研究[J].计算机集成制造系统.2003, 9(5):384-389.
    [96]蒋白桦,王丹力,王宏安等.从复杂性的角度分析供应链管理问题[J].计算机工程与应用.2002,(15):52-54.
    [97]詹蓉.面向即时顾客化定制的个性化需求预测方法研究[D].武汉:华中科技大学,2008.
    [98]胡国定,张润楚.多元数据分析方法——纯代数处理[M].天津:南开大学出版社,1990:308-312.
    [99]张宸,林启太.模糊马尔科夫链状预测模型及其工程应用[J].武汉理工大学学报.2004,26(11):63-66.
    [100]刘忠斌.模糊权马尔可夫模型在产品寿命预测中的应用[J].弹箭与制导学报.2005,25(4):599-602.
    [101]王文科,廖健榕.模糊分析在水文地质学中的应用[M].西安:西安地图出版社,1997:1-3.
    [102]汪荣鑫.随机过程[M].西安:西安交通大学出版社,2001.
    [103]孙才志,林学钰.降水预测的模糊权马尔可夫模型及应用[J].系统工程学报,2003, 18(4):294-299.
    [104]Voluntary interindustry. Commerce Standards(VICS) Association. CPFR:Collaborative Planning, Forecasting and Replenishment [OB/OL]. http://www.cpfr.org,1998.
    [105]Aviv Y. The Effect of Collaborative Forecasting on Supply Chain Performance[J]. Management Science,2001,47(10):1326-1343.
    [106]Helms M M, Ettkin L P, Chapman S. Supply Chain Forecasting—Collaborative Forecasting Supports Supply Chain Management[J]. Business Process Management Journal, 2000,6(5):392-403.
    [107]Bartezzaghi E, Verganti R. Managing Demand Uncertainty through Order Overplanning[J]. International Journal of Production Economics,1995, (40):107-120.
    [108]Bartezzaghi E, Verganti R, Zotteri G. A Simulation Framework for Forecasting Uncertain Lumpy Demand[J]. International Journal of Production Economics,1999, (59):499-510.
    [109]Ulwick A W. Turn Customer Input into Innovation[J]. Harvard Business Review,2002, 80(1):91-97.
    [110]汪纯孝,蔡浩然.服务营销与服务质量管理[M].广州:中山大学出版社,1996.
    [111]Stanley E.Fawcett,Linda L.Starley,Sheldon R.Smith.Developing a logislics capabity to improve the performance of international operations [J]. Journal of Business Logistics,1997,18(2):16-23
    [112]Mabel C C, Yeh Q, Yuan X M, et al. Analysis of a software-focused products and service supply chain[J]. IEEE Trans on Ind Inform,2006,2(4):295-302.
    [113]韦福祥.顾客感知服务质量与顾客满意忠诚之互动关系[J].天津财经学院学报,2001,(7):39-42.
    [114]张新安,田澎.利用扩展的GAP模型评价企业的服务能力[J].工业工程与管理.2003,(5):17-21.
    [115]Parasuraman A, Zeithaml V A, Berry L L. A Conceptual Model ofService Quality and Its Implications for Future Research[J]. Journal of Marketing,1985,49(4):41-50.
    [116]Luk S.T.K. Layton R. Perception Gaps in customer expectations:Managers versus service providers and customers[J]. The Service Industries Journal. Volume 22, Number 2, April 2002, pp.109-128(20).
    [117]Parasuram A, Berry L L, Zeithaml VA. Refinement and Reassessment of the SERVQUAL Scale[J]. Journal of Retailing,1991,67(4):420-451.
    [118]徐明,于君英.SERVQUAL标尺测量服务质量的应用研究[J].工业工程与管理,2001,6(6):6-9.
    [119]范秀成.服务质量管理:交互过程与交互质量[J].南开管理评论,1999,(1):8-13.
    [120]泽丝曼尔,比特纳.服务营销[M].张金成,白长虹译.北京:机械工业出版社,2001.
    [121]Hsieh Y-M, Hsieh A-T. Enhancement of Service Quality with Job Standardization[M]. The Service Industries Journal,2001,21 (3):147-166.
    [122]祁国宁,Schottner J,顾新建.一种面向大批量定制的产品建模方法[J].计算机集成制造系统-CIMS,2002年第1期.
    [123]马士华.确定供应商评价指标权重的一种方法[J].工业工程与管理.2002,6(7):5-8.
    [124]傅荣林.主成分综合评价模型的探讨[J].系统工程理论与实践.2001, (11):68-74.
    [125]付华民,陈德棉,吴谢玲.基于主成分因素法的企业绩效比较方法[J].运筹与管理.2004,13(5):141-145.
    [126]郭显光.改进的熵值法及其在经济效益评价中的应用[J].系统工程理论与实践.1998,(12):98-102.

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