顾客搜索和零售商折扣模式下最优订货策略分析

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1、AbstractWiththedevelopmentofe-commerce,customersearchbehaviorhasbecomemoreandmorefrequent.Sincecustomerssearch,retailerslosesomeorders,andretailers9profitsareaffected.It'saveryinterestingquestiontodiscusshowtodealwiththecustomersearchfromthepointoftheretailer.Thisthesisconsidersadistri

2、butionsystemwithonesupplierandtworetailerswhohavedifferentmarketdemandandordergoodsfromthesupplierseparately.Inthissystem,weestablishtwomodels,oneisthecustomer-drivensearchmodeltheotheristhepricediscountmodel.Inthefirstmodel,weusetheconceptof"Customer-DrivenSearch11todescribethephenome

3、nonthatwhenoneretailerisoutofstock,thelocalcustomerswillturntoanother.Underthismodel,weassumethatthecustomersfromdifferentretailersbotharewillingtochoosecustomersearch.Inthesecondmodel,astheretaileroneoffersadiscount,somecustomersarewillingtowaitforbackordersothatretaileronecanretrieve

4、hisloss.Onthebasisofthesetwomodels,wemainlydiscusstheoptimalorderstrategyofretaileronewithoutconsideringholdingcostandshortagecost.Andweanalysisthathowretaileroneshoulddeterminepricediscounttoreducethelossoforders,andhowtodeterminetheoptimalquantityinordertomaximizetheexpectedprofit.In

5、thelastchapter,throughthenumericalexamplesweexplainsomepropertiesoftheoptimalsolutionsandthevaluerangesofparameters.Atlastallachievementsaresummedupandsomefuturedirectionsaresuggested.Throughthestudyofthisarticlewegetthefollowingconclusions:Theoptimalequilibriumsolutionexists.Forretail

6、ers,thelowertheintensityofsearchandthesmallerofthediscount,orthesmallerofthediscountandthegreaterattractionofthediscountthatthediscountmodelismorefavorable;Otherwisethehighertheintensityofsearchandthebiggerofthediscount,orthebiggerofthediscountandtheweakerattractionofthediscountthatthe

7、customersearchmodelismorefavorable.KeyWords:Customer-Drivensearch;Backorder;Pricediscount;Optimalordering目录摘要IAbstractII1绪论1.1研究背景11.2研究冃的及意义31.3国内外相关研究现状51.4技术路线与主要内容92问题引入及模型背景2.1问题引入132.2变量描述152.3模型背景163顾客搜索模型最优订货策略3.1顾客搜索模型193.2随机需求下最优订货203.3确定性需求下最优订货224提供折扣延迟交货模型最优订货策略4.1提供折扣延迟