汽车发动机厂产供销管理系统设计与实现

上海交通大学硕士学位论文汽车发动机厂产供销管理系统设计与实现姓名：宋晔申请学位级别：硕士专业：控制理论与控制工程指导教师：杨根科20080101I,B/S/B/S(1)(2)II(3)(4)B/SAbstractIIIDESIGNANDIMPLEMENTATIONOFPRODUCING-SUPPLYING-SELLINGMANAGEMENTSYSTEMFORAUTOMOBILEENGINEMANUFACTURERABSTRACTWiththetendencyofglobalization,marketcompetitionisbecomingmoreandmoreintense.Moreandmoremanufacturingenterprisesbegintoimplementvariousmanagementinformationsystemsintheirmanagementandoperationprocessesinordertofacegreatchallengesfromothercompetitorsandmeetvariousrequirementsfromclients.Supplying,producingandsellingprocessesformthemostimportantvaluechainforamanufacturingenterprise.Whenamanufacturingenterprisebeginstoimplementmanagementinformationsystem,itwillplacemoreemphasisonhowtomakethesethreeprocessesworkcloselywithpurposeoflowercostsandhigherefficiency.Producing,supplyingandsellingprocessesinafamousautomotiveenginemanufacturerarestudiedinthisdissertation.AfteranalysisoftheseAbstractIVthreeprocesses,aproducing-supplying-sellingmanagementsystemisdesignedandimplementedaccordingtosoftwareengineeringmethodology.ThissoftwareisbasedonB/Sstructure(Brower/ServerStructure).Italsoimportssalespredictionmodelandgrindingworkshop’sschedulingalgorithmforengineconnectingrod.ThissoftwareisbasedonB/Sstructureandhasfollowingfeatures:(1)Thefunctionthatenginemanufacturerandsupplierscanmanagepartinventorytogetherisrealizedinthissoftware.Manufacturer’sinventorycanbekeptatareasonablelevelbyusingthisfunction.(2)Thefunctionthatbuyercanorderproductsonlineisrealizedinthissoftware.MiddleprocessesinsalecanbereducedinbyusingthisfunctionHybridpredictionmodelandreal-timeschedulingalgorithmareaddedtothissoftware:(3)Asalespredictionfunctionisaddedtothissoftware.Ahybridpredictionmodelbasedonexponentialsmoothingalgorithmandneuralnetworkalgorithmisbuilttopredictthefuturesalesvolumesofmainproducts.Withthehelpofpredictionresults,inventorycanbekeptatareasonablelevel.(4)Aschedulingalgorithmforengineconnectingrod’sgrindingworkshopisAbstractVaddedtothissoftware.ThisschedulingalgorithmisbasedonBranch-and-Boundalgorithmandneuralnetworkalgorithmandcanmakeproductionmoreefficient.Suitabledevelopmentenvironment,programminglanguageanddatabaseareselectedaccordingtouserrequirements,softwarefunctionsandotherfactors.Finally,aproducing-supplying-sellingmanagementsystemisimplementedforthisenginemanufacturer.KeyWords:automobileenginemanufacturer,producing-supplying-sellingmanagementsystem,B/Sstructure,salesprediction,productionscheduling,neuralnetwork20081202008120200812011.1T(Time,)Q(Quality,)C(Cost,)S(Service,)E(Environment,)AdvancedManufacturingTechnology[1][2](1)(2)(3)2CIMSComputerIntegratedManufacturingSystemERPEnterpriseResourcePlanningAIArtificialintelligence[3](1)60(MRP,MaterialRequirePlanning)[4](Closed-LoopMRP)(MRPII)[4](DRP,DistributionResourcePlanning)[5](2)50MathematicalProgrammingDispatchingRulesExpertSystemsANN,ArtificialNeuralNetworksFuzzyLogic[6](3)3(Delphi)(AverageMethod)(ExponentialSmoothingAlgorithm)(RegressionModel)(NeuralNetworkAlgorithm)[7][8][9][9](ERP,EnterpriseResourcePlanning)(CIMS,ComputerIntegrateManufactureSystem)(SCM,SupplyChainManagement)[10][11](1)(2)(3)41.2(JIT,JustInTime)(LP,LeanProduction)(MRP,MaterialResourcePlanning)(ERP,EnterpriseResourcePlanning)(BPR,BusinessProcessReengineering)(CIMS,ComputerIntegrateManufactureSystem)(SCM,SupplyChainManagement)(AgileManufacture)[12]ERP2090GarterGroupInc.ERP[1]GarterGroup2000ERPERPMRPMRPMRP-IIERPERPII[14]MRPMRPMRPIIERPERPIIERP5[15][10](1)(ERP,EnterpriseResourcePlanning)(2)(3)[16][17][18][19]MMDSS,MarketingManagement&DecisionSupportSystem[20]ARMABP[21](FuzzyDelphi)PCB[22]ARMARBF[23]BP6[24][25][26]BP[27]Hopfield[28][28]1.31.3.11.3.2.NETB/S/B/SC/S78[29]2.12.22.32.1MPV2-12-1Tab.2-1MainengineproductsinengineplantKWNm2.8L140260V6MFIMPV1.8L1102104FSI1.8L741554MFI1.6L641304MFI1.4L551284MFI9[30]2-12-1Fig.2-1Businesssummaryofengineplant[31][32]102.2(1)(2)(3)11(4)(5)(6)2.3(1)(2)(3)2-2122-2Fig2-2Mainbusinessesinproduction-supplying-sellingmanagementsystemforthreekindsofusers2.3.1(1)(2)(3)(4)(5)(6)(1)132-22-2Tab2-2Theevaluationsheetforpartsupplier[33]2-32-3Tab2-3Theevaluationsheetforengineproductbuyer2-314(2)1.2.3.1232-3152-31Fig2-3Businessprocessgraphpart1forusersinengineplant(suppliersandbuyers’accountsmanagement,purchasingpartsinventorymanagement)(3)1.2.4466163.1.2.3.232-4(4)1.172.3.2-42-42Fig2-4Businessprocessgraphpart2forusersinengineplant(productionmanagement,engineproductmanagement)(5)182-42-4Tab.2-4Theevaluationsheetforengineproductorder2-5(6)nNiN[34]1.0niNNα−≤1α≥2.0niNNα−1α≥2-5192-53Fig2-5Businessprocessgraphpart3forusersinengineplant(productordermanagement,productsalesvolumeprediction)2.3.2(1)(2)20(3)2-62-6Fig.2-6Applicationprocessforformalenginepartsupplier(1)2-7(2)3123212-72-7Fig.2-7Businessprocessgraphforenginepartsupplier(3)2-7222.3.3(1)(2)2-82-8Fig.2-8Applicationprocessforformalengineproductbuyer(1)2-9(2)7242-923NoYesNoYesNoYesNoYes2-9Fig2-9Businessprocessgraphforengineproductbuyer2.424[35](ANN,ArtificialNeuralNetwork)[36][37](1)BP(2)3.1BP3.23.1253.1.1(1)(2)(3)LtYNtYtY3-1L