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新产品上市阶段供应链运作的鲁棒决策分析
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摘要
创新是企业发展的永恒主题,成功推出新产品、新服务与新解决方案则是企业发展的核心诉求。新产品上市阶段作为成功推出新产品的关键环节,是典型的合作型工作链,需要企业内各部门及供应链各企业节点的参与与合作。然而新产品固有的创新性造成的市场信息缺失使得上市阶段运作面临巨大的风险和决策困难,可诱使供应链成员采取鲁棒的决策行为。基于此,本文研究新产品上市阶段企业鲁棒决策行为下的供应链运作管理问题。通过对新产品需求信息缺失特征及企业鲁棒决策行为刻画,揭示鲁棒行为下的新产品供应链决策特点,进而紧紧围绕新产品上市阶段的重要决策,设计供应链合作激励机制与管理干预举措,优化新产品供应链,促进新产品成功推出。具体做了以下几个方面的工作:
     首先,利用分布鲁棒方法,建立基本的新产品供应链,构建本文的研究基础。通过与需求分布信息完全已知的传统供应链的数值分析结果比较,揭示出信息缺失的新产品供应链的特点。并且,结合已有实证研究结果提出了提高新产品上市成功率的思路:加强零售商激励、加强信息获取、加强营销和运营的协调,用于解决以下新产品上市的渠道、铺货、定价和订货等具体决策问题。
     面对经销商因承担较大销售风险不愿意大量铺货,难以建立起新产品的销售渠道的现实问题,文章在新产品上市的现行操作模式基础上,设计了“VMI+寄售+返利”的供应链契约,研究了面对新产品市场信息缺失,制造商和零售商都存在鲁棒决策行为的供应链。通过定理证明了该契约能实现零售商绩效改进的同时激励零售商制定较低零售价格,从而有利于快速有效地建立起新产品销售渠道,支持新产品入市,且发现该供应链具有很强的稳定性和适应性。
     面对新产品市场信息缺失、扩散不确定造成的上市阶段铺货决策困难,文章试图通过多个市场预测来更准确地描述新产品上市的需求,构建了基于多个市场预测的新产品铺货决策模型,并以CVaR风险指标定量化地度量了铺货决策的风险,以最低期望收益为约束,利用worst-case鲁棒优化方法研究了对每种预测出现的可能性完全无法估计以及能粗略估计这两种情况下的最优铺货决策。数值分析通过将多市场预测与单一市场预测、及加权平均策略下的铺货和绩效比较发现鲁棒决策行为下的铺货决策相对保守,但在防范新产品上市后的小概率事件风险上有优势,且能保证在各种新产品市场情形下获得平稳回报,进一步还发现了该方法的有效性和鲁棒性。
     在“营销和运营相互协调”的研究视角下,文章还研究了有鲁棒决策行为的零售商对新产品的定价订货进行联合决策的问题,通过优化求解得到新产品鲁棒最优定价与订货决策,及期望收益的上下界。研究发现在鲁棒决策行为下,与单一决策相比,联合决策方式推出新产品能带来巨大的绩效改进,通过运营和营销的相互调整和配合也使得新产品供应链更稳定,能更有效地应对上市过程中的不确定性。
     最后,在确定了鲁棒联合决策对信息缺失的新产品供应链的价值基础上,结合营销学实证研究结果,刻画了同时存在价格参考效应和价格质量效应的新产品价格需求函数,并进一步分析了不同创新度新产品的消费者价格心理特点。研究结果发现了适合不同创新度新产品的营销策略,从理论上印证了营销实证方法得到的结论,同时发现消费者的参考价格对于新产品上市的重要性。
     随着对新产品上市供应链运作的需求特征、风险来源、决策行为的进一步认识,以及不确定性鲁棒决策理论方法自身的进一步完善,新产品上市管理中的问题必将得到更深入的关注和研究。
Innovation is an eternal theme for enterprise development, and successful launch ofnew products, new services and new solution is the core requirement of enterprisedevelopment. Launching stage is crucial for new products successfully entering into themarket, which is a typical multiple departments work chain, requiring the supply chainnodes participation and cooperation. However, the lack of new products’ demandinformation makes supply chain operation challenged and risky, and leads to thedecision-maker show robust behavior. Based on this, this article researches the operationdecisions of new products launch stage by considering the robust decision-makingbehavior. In this paper, we describe new product demand information missing features, toreveal the impact of robust decision-making behavior on new products operatingdecisions, and then design cooperation incentive mechanism and managementinterventions tightly around the important decisions in new product introducing phase, topromote new product successful launch. This paper mainly talks about followingquestions:
     First,according to distribution free robust method and game theory, we establish thebasis new product supply chain, which is the foundation of this paper. By comparion withthe traditional supply chain which completely knows demand distribution, we reveal thatrobust game with limited information is more efficiency and valuable for retailer andwhole supply chain. Furether, combing with previous empirical findings, we proposesome ways to improve the rate of successfully launching new product, such as:strengthening the incentives for retailers, strengthening the information retrieval,strengthening the cooperation of marketing and operations, which will be used to solvethe following problems in new product launching stage.
     Second,the realistic problem hat dealers would not like to shop a lot of goodsbecause of the larger sales risk, makes it difficult to build up new product sales channels.We design “VMI+sales rebate+consignment” contract based on current new productlaunch operating mode, to study the supply chain for both of manufacture and retailerhave robust behavior when facing the information missing. Through robust game analysis,it found that the contract can reducing the risk of retailers, and improve retailersperformance, and then incentive retailers quickly and efficiently build new product saleschannels, to support the new product into the market, furthermore, this supply chain has a strong stability and adaptability.
     Third, the uncertainty of the new product diffusion makes distribution decision risky.In this article, we describe the demand more exactly with multiple demand forecastings,and establish the distribution decision model. By use of CVaR to measure the distributionrisk and worst-case robust optimization method, we discuss the model under twoscenarios including completely unknown and partial known the the probability of eachforecasting. The simulations show the difference between our method and the methodonly one forcasting. When comparing with average strategy, the performance of ourmehod is conservative, and takes advantage in dealing with the small probability event,further, we find the effectiveness and robustness of our WCVaR.
     At last, under the prospect of “coordination marketing and operation”, we studythe new product pricing and inventory decision with robust behavior when facing thedemand information missing. By optimizing method, we get the optimal price and stockquantity and the upper and lower bounds of expected profit. The result shows that jointdecision can make the operations and marketing adjustment and cooperation with eachother, and make the new product supply chain more stable, and effectively dealing theuncertainty in launching process.
     Based on the value of joint decision, combing with a lot of empirical studies aboutconsumer behavior in marketing, we add the consumer price psychology into robustpricing and inventory decision problem for new product, propose the price demandfunction with price-quality effect and reference price effect, and analyze the consumerprice psychological characteristics for new products with different degree innovation.According the result, we put forward the suitable marketing strategy for differentinnovation degree new products, which just confirms the result of empirical studies;moreover, we find the importance of consumer reference price.
     Along with the demand characteristics, risk resources and decision behavior of newproduct supply chain operations be further recognized, the uncertain theory be furtherimproved, the new product launch problems will get more enough concern and research.
引文
[1](美)彼得德鲁克,蔡文燕译,2007.创新与企业家精神[M].北京:机械工业出版社.
    [2]陈旭,2005.需求信息更新条件下易逝品的批量订货策略[J].管理科学学报,8(5):38-42.
    [3]曹璇,张业军,2011.美的大裁员真相:与代理商争夺渠道利益生恶果[EB/OL]..[2011-12-18]http://finance.qq.com.
    [4](美) Copper R G,2003.新产品开发流程管理(第3版)[M].刘崇献,刘延译.北京:机械工业出版社.
    [5]戴跃强,黄祖庆,达庆利,2008.供应链中一种基于营销创新的合作竞争博弈模型[J].系统管理学报,17(2):156-166.
    [6]菲利普·科特勒,2001.营销管理[M].梅汝和,梅清豪等译.北京:中国人民大学出版社,pp:366-369.
    [7]何勇,赵林度,何炬,吴清烈,2007.供应链协同创新管理模式研究[J].管理科学,20(5):9-13.
    [8]黄仕婷,谢园园,2006.现阶段企业新产品上市的问题及解决策略[J].科技咨询,(28):228.
    [9]韩兆林,张小燕,陈小平,1999.高科技产品营销的特性分析[J].经济与管理研究,(5):57-60.
    [10]胡明,2002.技术创新的市场不确定性分析[J].科学与管理,(4):47-49.
    [11]吕涛,2000.企业新产品开发风险及其防范[J].决策借鉴,13(2):10-14.
    [12]刘晓峰,黄沛,2009.基于策略型消费者的最优动态定价与库存决策[J].管理科学学报,12(5):18-26.
    [13]刘晓峰,徐贤浩,2011.消费者策略型为视角下断生命周期产品的定价机制研究[J].中国管理科学,19(4):152-158.
    [14]刘松崧,张立平,邢文训,2006.保持新产品最低转售价格最优策略的分析[J].运筹与管理,15(2):32-36.
    [15]刘斌,刘思峰,陈剑,2006.一类短生命周期产品供应链的有价格差异联合契约[J].管理科学,19(2):6-12.
    [16]马士华,黎继子,2011.供应链管理[M].背景:机械工业出版社, pp:32-40.
    [17]全雄文,涂菶生,魏杰,2007.新产品销售定价的制造商与销售商斯坦克尔伯格博弈[J].系统工程理论与实践,33(8):111-117.
    [18]孙彩虹,于辉,2008.如何恰当激励零售商的过程创新行为[J].系统工程学报,23(6):702-707.
    [19]沈铁松,熊中楷,2004.基于新产品的供应链最优生产策略[J].中国管理科学,12(2):55-59.
    [20]透视“脉动”[EB/OL].(2003-11-21).[2013-8-22].http://info.news.hc360.com/HTML/001/002/009/001/21728.htm.
    [21]徐贤浩,陈雯,廖丽平,李路军,2013.基于需求预测的短生命周期产品订货策略研究[J].管理科学学报,16(4):22-32.
    [22]徐贤浩,陈雯,彭红雯,2012.基于策略消费者行为和市场细分的联合定价库存策略[J].中国管理科学,20(6):78-86.
    [23]雅基,莫尔著.胡奇英,杜荣译.2002.新产品与创新的营销[M].北京:机械工业出版社,pp:9-116.
    [24]战瑞琬.苹果供应链揭秘: iPhone5如何续写传奇?[EB/OL].(2012-09-15).[2013-08-22].http://money.163.com/12/0915/16/8BF6B5T600253B0H_all.html.
    [25]新产品上市慎重选择试点市场.[EB/OL].(2005-06-10).[2013-08-22]. http://www.bioon.com/industry/news/120054.shtml.
    [26]新产品开发.[EB/OL].(2012-10-1).[2013-08-22].http://wenku.baidu.com/view/d1de517e168884868762d6ca.html.
    [27] Amini M, Li H T,2011. Supply chain configuration for diffusion of new products: an integratedoptimization approach[J]. Omega,39(3):313-322.
    [28] Andersson J, Nonas S L, Sandal L K. Uboe J,2013. A Maximum Entropy Approach to thenewsvendor problem with partial information [J]. European Journal of Operational Research,228(1):190-200.
    [29] Adida E, Ratisoontorn N,2011. Consignment contracts with retail competition[J]. EuropeanJournal of Operational Research,215(1):136-148.
    [30] Adida E, Perakis G,2010. Dynamic pricing and inventory control: uncertainty andcompetition[J]. Operatios Research,58(2):289-302.
    [31] Aecelus E J, Kumar S, Srinivasan G,2005. Retailer’s response to alternate manufacture’sincentives under a single period, price dependent, stochastic dependent framework[J]. DecisionSciences,36(4):599-626.
    [32] Ben-Tal A, Nemirovski A,1998. Robust convex optimization [J]. Mathematics of OperationsResearch,23(4):769-805.
    [33] Ben-Tal A, Nemirovski A,1999. Robust solutions to uncertain linear programs [J]. OperationsResearch Letters,25(1):1-13.
    [34] Ben-Tal A, El Ghaoui L, Nemirovski A,2000. Robust Semidefinite Programming[M]. In:Wolkowicz H, Saigal R, Vandenberghe L (eds), Handbook on Semidefinite Programming.Kluwer Academic Publishers, pp:303-328.
    [35] Ben-Tal A, Nemirovski A,2002. Robust optimization-methodology and applications [J].Mathematical Programming,92(3):453-480.
    [36] Bradford, Sugrue,1990. A Bayesian appproach to the two-period style-goods inventoryproblem with single replenishment and heterogeneous Posisson demands[J]. Journal ofOperational Research Society,41(3):211-218.
    [37] Booz, Allen, Hamilton,1982. New product management for the1980’s[M]. New York: Booz,Allen and Hamilton Inc, pp:11-16.
    [38] Bass F M,1969. New product growth for model consumer durables[J]. Management ScienceSeries A-theory,15(5):215-227.
    [39] Beril L T, Lawrence M W,2001. Analysis of a Forecasting Productin inventory system withstationary demand[J]. Management Science,47(9):1268-1281.
    [40] Banerjee S, Lin P,2007. Downstream R&D, raising rivals’ costs, and input price contracts[J].International Journal of Industrial Organization,21(1):79-96.
    [41] Betersimas D, Thiele A,2006. A Robust optimization Approach to inventory theory[J].Operations Research,54(1):150-168.
    [42] Cachon G P, Swinney R,2009. Purchasing, Pricing, and Quick Response in the Presence ofStrategic Consumers[J]. Management Science,55(3):497-511.
    [43] Cachon G P, Swinney R,2011. The value of fast fashion: quick response, enhanced design, andstrategic consumer bahavior[J].57(4):778-795.
    [44] Cachon G P,2003. Supply chain coordination with contrats[M]. A.G. De Kok, S. Graves (Eds.),Handbooks in Operations Research and Management Science, Elsevier, Amsterdam.
    [45] Cooper L P,2003. A research agenda to reduce risk in new product development throughknowledge management: a practitioner perspective[J]. Journal of Engineering TechnologyManagement,20(1):117-140.
    [46] Cooper R G, Kleinschmidt E J,1988. Resource allocation in the new product process [J].Industrial marketing Management,17(3):249-262.
    [47] Cooper R G,1979. The dimensions of industrial new product success and failure[J]. The Journalof Marketing,43(3):93-103.
    [48] Crawford C M,1977. Marketing research and the new product failure rate[J]. The Journal ofMarketing,41(2):51-61.
    [49] Cooper R G,2000. Wiining at new products and services[J]. Ivy Business Journal,64(4):52-58.
    [50] Chern Ching-Chin, et al,2010. Designing a decision-support system for new product salesforecasting[J]. Expert Systems with applications,37(2):1654-1665.
    [51] Choi T Y, Krause D R,2006. The supply base and its complexity: implications for transactioncosts, risks, responsiveness, and innovation[J]. Journal of Operations Management,24(5):637-652.
    [52] Cormack A M, Verganti R,2003. Managing the sources of uncertainty:matching process andcontext in software development[J]. Journal of Product Innovation Managemtn,20(3):217-223.
    [53] Chin K S, et al,2009. Assessing new product development project risk by Bayesian networkwith a systematic probability generation methodology[J]. Expert Systems with applications,36(6):9879-9890.
    [54] Chen X, Sim M, Simchi-Levi D, Sun P,2007. Risk aversion in inventory management[J].Operations Research,55(5):828-842.
    [55] Chen Y H, Xv M H and Zhang Z G,2009. A risk averse newsvendor model under the CVaRcriterion[J]. Operations Research,57(4):1040-1044.
    [56] Chen J M, Lin I C, Cheng H L,2010. Channel coordination under consignment andvendor-managed inventory in a disrtibution system[J]. Transportation Research,46(6):831-843.
    [57] Dodds W B, Monroe K B, Grewal D,1991. Effects of price, brand and store information onbuyers’ product evaluations[J]. Journal of Marketing Research,28(3):307-319.
    [58] DeGraba P,1995. Buying frenzies and seller-induced excess demand[J]. The RAND Journal ofEconomics,26(2):331-342.
    [59] Donald J, et al,1999. Lean Launch: Managing Product Introduction Risk ThroughResponse-Based Logistics[J]. Journal of Product Innovation Management,16(6):557–568.
    [60] Dean J,1976. Pricing policies for new products[J]. Harvard Business Review,54(6):141–153.
    [61] EngT Y, Quaia G.,2009. Strategies for improving new product adoption in uncertainenvironments: A selective review of the literature[J]. Industrial marketing management,38(3):275-282.
    [62] Fisher M L,1997. What is the right supply chain for your product? Harvard Business Review[J].75(2):105-117.
    [63] French N D, Willians J J, Chenace W A,1973. A shopping experiment on price-qualityrelationships [J]. Journal of Retailing,48(3):3-16.
    [64] Fibich G, Gavious A, Lowengart O,2003. Explicit solutions of optimization models anddifferential games with nonsmooth (asymmetric) reference price effects [J]. OperationsResearch,51(5):721-734.
    [65] Gupta D, Buzacott J A,1988. A framework for understanding flexibility of manufacturingsystems[R]. Technical Report, University of Wateloo.
    [66] Griffin A,1997. Drivers of NPD success: The1997PDMA Report [R]. Chicago: ProductDevelopment and Management Association.
    [67] Griliches Z, Hydrid corn,1957. An exploration in the economics of technological change[J],Econometrica,25(4):501-522.
    [68] Gilbert S M, Cvsa V,2003. Strategic commitment to price to stimulate downstream innovationin a supply chain[J]. European Journal of Operations Research,15(3):617-639.
    [69] Gallego G, Moon I,1993. The distribution-free newsboy problem-review and extensions [J].Journal of the Operational Research Society,44(8):825-834.
    [70] Gotoh J Y, Takano Y C,2007. Newsvendor solutions via conditional value-at-riskminimization[J]. European Journal of Operational Research,179(1):80-96.
    [71] Greenleaf E A,1995. The impact of reference effects on the profitability of price promotions[J].Marketing Science,14(1):82-104.
    [72] Hultink.,1999. Industrial new product lauch strategies and product development, Journal ofProduct Innovation Mangement,14(4):243-257.
    [73] Huang X, Soutar G N, Brown A,2004. Measuring new product success: an empiricalinvestigation of Australian SMES[J]. Industrial Marketing Management,33(2):117-123.
    [74] Huang D S, Fabozzi F J, Fukushima M,2007. Robust portfolio selection with uncertain exittime using worst-case VaR strategy[J]. Operations Research Letters,35(5):627-635.
    [75] Huang D S, Zhu S S, Frank J F,2010. Portfolio selection with under disruption uncertainty: arelative Robust CVaR Approach[J]. European Journal of Operation Research,203(1):185-194.
    [76] Ho T, Savin S, Terwiesch C,2002. Managing demand and sale dynamics in new productdiffusion under supply constraint[J]. Management Science,48(2):187-206.
    [77] Hoskisson R E, Busenitz L W. Market uncertainty and learning distance in corporateenteroreneurship entry mode choice[EB/OL].[2013-8-22].http://nus.edu.sg/nec/sem/2002/pdf/Prof.%20Bob%20Hoskisson%20(Paper1).pdf
    [78] Hall J A, Brorsen B W, Irwin S H,1989. The distribution of futures prices: A test of the stableParetian and mixture of normals hypotheses[J]. Financial Quant. Anal,24(1):105-116.
    [79] Jiang H, Hetessine S, Savin S,2011. Robust newsvendor competition under asymmetricinformation[J]. Operations Research,59(1):254-261.
    [80] Jeuland A P, Shugan S M,1983. Managing channel profits[J]. Marketing Science,2(3):239-272.
    [81] Lee H L,2002. Aligning supply chain strategies with products uncertainties[J]. CarliforniaManagement Review,43(3):105-118.
    [82] Milner J M, Kouvelis P,2005. Order quantity and timing flexibility in supply chains: The rolesof demand characteristics[J]. Management Science,51(6):970-985.
    [83] Kurawarwala A A, Matsu H,1996. Forecasting and inventory management for short life cycleproducts[J]. Operations Research,44(1):131-150.
    [84] Kortge G D, Okonkwo P A,1989. Simultaneous new product development: reducing the newproduct failure rate[J]. Industrial Marketing Management,18(4):301-306.
    [85] Kalyanara G, Winer R S,1995. Empirical Generalizations from Reference PriceResearch[J]. Marketing Science,14(3):161-169.
    [86] Krishnan T V, Jain D C,2006. Optimal dynamic advertising policy for new products[J].Management Science,52(12):1957-1969.
    [87] Kurawarwala A A, Matsuo H,1996. Forecasting and inventory management of short life cycleproducts[J]. Operational Reaserch,44(1):131-150.
    [88] Kim B,2000. Coordinatiing an innovation in supply chain management[J]. European Journal ofOperational Research,123(3):568-584.
    [89] Karabati S, Kouvelis P,2008. Optimal Quantity Discount Design with Limited InformationSharing[J]. DECISION SCIENCES,39(4):791-819.
    [90] Kayis B, Arndt G, Zhou M,2006. Risk quantificaiton for new product design and developmentin a concurrent engineering environment[J]. CIRP ANNALS Manufacturing Techhnology,55(1):147-150.
    [91] Kayis B, Arndt G, Zhou M,2007. Arisk mitigation methodology for new product and processdesign in concurrent engineering projects[J]. CIRP ANNALS Manufacturing Techhnology,56(1):167-170.
    [92] Kalish S,1985. A new product adoption model with price, advertising, and uncertainty[J].Management Science,31(12):1569-1585.
    [93] Kalin S and Carr C R,1962. Prices and optimal inventory policy[M]. Arrow K J and ScarfH(Eds.). Studies in Applied Probability and Management Science, Stanford University Press,Stanford, CA. pp:159-172.
    [94] Kopalle P K, Winer R S,1996. A dynamic model of reference price and expected quality[J].Marketing Lett.7(1):41-52.
    [95] Kleinschmidt E J, Cooper R G,1991. The impact of product innovativeness on performance [J],Journal of Product management,8(4):240-251.
    [96] Li C H, Zhang F Q,2013. Advance demand information, price discrimination,and preorderstrategies[J]. Manufacturing and service operations management,15(1):57-71.
    [97] Lilien, Rao, Kalish,1981. Bayesin estimation and control of detailing effort in a repeat purchasedifffusion environment[J]. Management Science,27(5):493-506.
    [98] Linh C T, Hong Y S,2009. Channel coordination through a revenue sharing contract in a twoperiod newsboy problem[J]. European Journal of Operatinal Research,198(3):822-829.
    [99] Liu H, Ozer O,2010. Channel incentives in sharing new product demand information androbust contracts[J]. European Journal of Operational Research,207(3):1341-1349.
    [100] Lan Y J, Ball M O, Karaesmen I Z,2011. Regret in overbooking and fare-class allocation forsingle leg[J]. Manufacturing&Service Operations Management,13(2):194-208.
    [101] Lan Y, et al,2008. Revenue management with limited demand information[J]. ManagementScience,54(9):1594-1609.
    [102] Lau A H L, Lau H S,1988. The newsboy problem with price dependent demand distribution[J].IIE Transactions,20(2):168-175.
    [103] Lariviere M A, Porteus E L,2001. Selling to the newsvendor: An analysis of price-onlycontracts[J]. Manufacturing Service Operations Management,3(4):293-305.
    [104] Monroe K B,1973. Buyers’ Subjective Perceptions of Price [J]. Journal of MarketingResearch,10(1):70-80.
    [105] Mazumdar T, Raj S P, Sinha I,2005. Reference price research: review and propositions[J].Journal of Marketing,69(4):84-102.
    [106] Mansfield E. Technical change and the rate of imitation[J]. Econometrica,1961,29(4):741-766.
    [107] Mahajan V, Muller E, Wind Y,2000. New-product diffusion models[M]. Boston: KluwerAcademic Publisher, MA.
    [108] Mahajan V, Muller E, Bass F M,1990. New product diffusion-models in marketing-a reviewand directions for research[J]. Jouranl of Marketing,54(1):1-26.
    [109] Mehdi A, et al,2012. Alternative supply chain production-sales policies for new productdiffusion: An agent-based modeling and simulation approach[J]. European Journal ofoperational research,216(2):301-311.
    [110] Moon I, Choi S,1995. The distribution free newsboy problem with balking[J]. Journal of theoperational research society,46(4):537-542.
    [111] Mostard J, Koster R D, Teunter R,2005. The distribution free newsboy problem with resalablereturns[J]. International Journal of Production Economics,97(3):329-342.
    [112] Micheal K, Rochford L, Wotruba T R,2003. How new product introductions affect salesmanagement strategy: the impact of type of “Newness” of the new product[J]. Journal ofProduct Innovation Management,20(4):270-283.
    [113] Mills E S,1959. Uncertainty and price theory[J]. The Quarterly Journal of Economics,73(1):117-130.
    [114] Mazumdar T, Raj S P, Sinha I,2005. Reference price research: review and propositions[J].Journal of Marketing,69(4):84-102.
    [115] Niu S C,2006. A piecewise-diffusion model of new-product demands[J]. Operations Research,54(4):678-695.
    [116] Olson J C,1977. Price as an informational cue: effects in product evaluation, in Consumer andIndustrial buying behavior[M]. Eoodside AG,Sheth JN, and Bennet PD, eds. New York: NorthHolland Publishing Company, pp:267-286.
    [117] Postma T J, Broekhuizen T L, Bosch F,2012. The contribution of scenario analysis to thefront-end of new product development[J]. Futrure,44(6):642-654.
    [118] Prasad A, Stecke K E, Zhao X,2011. Advance selling bu a newsvendor retailer[J]. ProductionOperations Management,20(1):129-142.
    [119] Perakis G Roels G,2008. Regret in the newsvendor model with partial information[J].Operations Research,56(1):188-203.
    [120] Ray S,2005. An integrated operations-marketing model for innovative products and services[J].International Journal of Production Economics,95(3):327-345.
    [121] Robertson P L, Langlois R N,1995. Innovation, networks, and vertical integration[J]. ResearchPolicy,24(4):543-562.
    [122] Peel D, Mclachlan G J,2000. Robust mixture modeling using the skewt distribution[J]. Statistcsand Computing,10:339-348.
    [123] Polatoglu L H,1991. Optimal order quantity and pricing decisions in single-period inventorysystems[J]. International Journal of Production Economics,23(13):175-185.
    [124] Petruzzi N C and Dada M,1999. Pricing and the newsvendor problem: a review withextensions[J]. Operations Research,47(2):183-194.
    [125] Ryu K, Yucesan E,2010. A fuzzy newsvendor approach to supply chain coordination[J].European Journal Of Operational Research,200(2):421-438.
    [126] Rao A R, Mahi H,2003. The price of launching a new product: empirical evidence on factorsaffecting the relative magnitude of slotting allowances[J]. Marketing science,22(2):246-268.
    [127] Rockafellar R T, Urasev S,2002. Conditional value at risk for general loss distributions[J].Journal of Banking and Finance,26(7),1443-1471.
    [128] Rockafellar R T, Urasev S,2000. Optimization of conditional value at risk[J]. The Journal ofRisk,2(3):21-24.
    [129] Soyster A L,1973. Convex programming with set-inclusive constraints and applications toinexact linear programming [J]. Operations Research,21(6):1156-1157.
    [130] Swink M, Song M,2007. Effects of marketing-manufacturing integration on new productdevelopment time and competitive advantage[J]. Journal of Operations Management,25(1):203–217.
    [131] Swinney R,2011. Selling to Strategic Consumers When Product Value is Uncertain: The Valueof Matching Supply and Demand[J]. Management Science,57(10):1737-1751.
    [132] Sawhney M, Wolcott R C, Arroniz I,2006. The12different ways for companies to innovate[J].MIT Sloan Management Review,47(3):75-85.
    [133] Schweitzer M E, Cachon G P,2000. Decision bias in the newsdor problem with a knowndemand distribution: experimental evidence[J]. Managment Science,46(3):404-420.
    [134] Stephen C G, Sean P W,2005. Optimizing the Supply Chain Configuration for New Products[J].Management Science,51(8):1165-1180.
    [135] Sorger G,1988. Reference price formation and optimal pricing strategies[M]. Feichtinger G, ed.Optimal Control Theory and Economic Analysis. Elsevier (North Holland), Amsterdam, theNetherlands, pp:97-120.
    [136] Scarf H,1958. A min-max solution of an inventory problem[M]. In Studies in The MathematicalTheory of Inventory and production.(K. Arrow, S. Karlin and H. Scarf, Eds), StanfordUniversity Press, California, pp:201-209.
    [137] Thomposon G L, Sethi S P, Teng J T,1984. Strong planning and forecast horizons for a modelwith simultaneous price and production decisions[J]. European Journal of Operational Research,16(3):378-388.
    [138] Tang C S,2006. Perspectives in supply chain risk management [J]. International Journal ofProduction Economics,103(2):451-488.
    [139] Tang C S,2006. Robust strategies for mitigating supply chain disrptions[J]. InternationalJournal of Logistics: Research and Applications,9(1):33-45.
    [140] Urban T L,2008. Coordinating pricing and inventory decisions under reference price effects [J].International Journal of Manufacturing Technology and Management,13(1),78-94.
    [141] Vairaktarakis G L,2000. Robust multi-item newsboy models with a budget constraint[J].International Journal of Production Economics,66(3):213-226.
    [142] Winer R S,1985. A Price Vector Model of Demand for Consumer Durables: PreliminaryDevelopments[J]. Marketing Science,4(1):74-90.
    [143] Wang Y, Jiang L, Shen Z,2004. Channel performance under consignment contract with revenuesharing[J]. Managemen Science,50(1):34-47.
    [144] Wang Y,2006. Joint pricing production decision in supply chains of complementary productswith uncertain dmand[J]. Operations Research,54(6):1110-1127.
    [145] Wang J, Shu Y F,2007. A possibility decision model for new product supply chain design[J].European Journal of operational research,177(2):1044-1061.
    [146] Wong C Y, Hvolby H H,2007. Coordinated responsiveness for volatile toy supply chains[J].Production Planning&Control,18(5):407-419.
    [147] Wong W K, Qi J, Leung S Y S,2009. Coordination supply chains with sales rebate contractsand vendor managed invnetory[J]. International Journal of Production Economics,120(1):151-161.
    [148] Wanke P R,2008. The uniform distribution as a first practical approach to new productinventory management[J]. International Journal of Production Economics,114(2):811-819.
    [149] Wang J Y, Zhao R Q, Tang A S,2008. Supply chain coordination by revenue-sharing contractwith fuzzy demand[J]. Journal of intelligent and fuzzy systems,19(6):409-420
    [150] Wang Z, Glynn P W, Ye Y Y,2009. Likelihood robust optimization for data-driven newsvendorproblems.Working paper, Stanford University, Stanford, CA.
    [151] Whitin T M,1955. Inventory control and price theory[J]. Management Science,2(1):61-68.
    [152] Wei Y,2012. Optimization and optimlity of a joint pricing and inventory control policy inperiodic review system with lost sales[J]. OR Spectrum,34(1):243-271.
    [153] Xie J, Shugan S M,2001. Electronic tickets, smart cards, and online prepayments: When andhow to advance sell[J]. Marketing Science,20(3):219-243.
    [154] Xu R N, Zhai X Y,2010. Analysis of supply chain coordination under fuzzy demand in atwo-stage supply chain[J]. Applied Mathematical Modeling,34(1):129-139.
    [155] Yan X M, Liu K,2009. Optimal control problem for a new product with word-of-mouth[J].International Journal of Production Economics,119(2):402-414.
    [156] Yue J F, Chen B T, Wang M C,2006. Expected value of distribution information for thenewsvendor problem[J]. Operations Research,54(6):1128-1136.
    [157] Zhang J, Gou Q L, Liang L, Huang Z M,2013. Supply chain coordination through cooperativeadvertising with reference price effect [J]. Omega,41(2):345-353.
    [158] Zhu K J, Thoneman U W,2004. An adaptive forecasting algorithm and inventory policy forproducts with sort life cyles[J]. Naval Research Logistics,51(5):633-653.
    [159] Zhu S S, Fukushima M,2009. Worst-case conditional value-at-risk with application to robustportfolio management[J]. Operations Research,57(5):1155-1168.
    [160] Zhao H,2000. Raising awareness and signaling quality to uninformed consumers: price-advertising model[J]. Marketing Science,19(4):390-396.

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