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ID:36620114
大小:2.06 MB
页数:76页
时间:2019-05-13
《基于智能感官评估的服装供应链信息流反馈系统的研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、论文题目:堡五型丝照垦堕堡堕!垦鉴丝壁壁曼!塑!!丝丝塑塑堡学科专业:一—j垤塑丝咝!堡L作者姓名:一国丛盟⋯指导教师:j女型女丝』L一完成日期:一声蔓!鹭/丛一最后,基于.Net平台设计开发了B/S结构的服装供应链信息反馈原型系统。系统采用三层结构,分为用户层、中间服务层和数据库层。用户层主要设计相关的网页,为远程客户提供系统交互功能。中间服务层为用户层提供访问服务,一方面对企业的业务逻辑进行封装,另一方面对智能技术进行封装。数据库层主要实现中间服务层对底层数据库的访问服务。本论文的研究工作着重企业实际应用,在将感官评估应用到服装企业供应链方面有一定的创新性和实际指
2、导意义。在开发的服装供应链信息反馈原型系统的基础上,进行进一步的研究和开发,将为企业的供应链管理提供一个较好的平台。关键词:感官评估,聚类分析,核主成分分析,遗传算法,因子分析StudyonInformationFeedbackSystemofCostumeSupplyChainBasedonSensoryEvaluationABSTRACTWiththedemandsofclientsbecomingmoreandmolediverseandindividual,thedesignofproductsiscombinedtightlytothemarketdeman
3、ds.Clientspaymoreattentiontothecomfort,theappearance,thefunction,andthehealthofthefabric.So,howtoquicklyrespondtothemarketchanging,howtosatisfythecustomer’Sdemand,andhowtodeclinethecost.勰sotoe咖thebetterprofitareaseriesofimportantconundrumsinthefrontoftheenterprises.Inthisthesis,takingth
4、epracticaldemandsofsupplychainmanagementasthepointofdeparture,westudyanddesigntheinformationfeedsystemprototypebycombiningthesensoryevaluationandintelligenttechnique.Thesystemconsistsofthreeparts,asthefeedbackoftheproductqualityoftheproviders,thefeedbackofclientsdemands,andtheenterprise
5、decisionmakingsupportsystem.Firstly,wegettheobjectiveevaluationdatabymeasurethesamplesandprocessthedatabydimensionreduceandclusteringanalysis.AsprincipalcomponentanalysismainlyⅥsethelinearcorrelationofthedata,weproposeanonlinearprincipalcomponentanalysismethod,bycombiningthemercerkernel
6、functionwithit.Whileprocessingdatawithclusteringanalysis,theK-meansclusteringconvergestothelocalminima.Inordertoovercometheproblem,weproposeanovelgeneticalgorithms-basedmercerkernelclusteringmethod.Simulationexperimentsverifyitsclassificationeffectiveness.Next,weapplysensoryevaluationto
7、analysistheconsumptionpsychologyofC1.1stomers,andproposeananalysismodelofquestionnairedam.Whengetthequestionnairedatafrommarketrese#Ech,wedofactoranalysistostudythequestionsrelationship,andgetthenewscoredata.Atlast,weusefuzzyc-meaBsclusteringanalysismethodtoprocessthedataandint
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