生产的下一步：使用 AI 获得更好的结果.pdf

1、The Next Step in Production:Using AIto Achieve Better ResultsRalph J.Woerheide-Metromation Inc.Coatings Trends&Technology Summit,Lombard 9/6/2024IntroductionSales and Business DevelopmentModular FactoryWhat is Modular Factory(MoFa)?Traditional ManufacturingModular ManufacturingRaw MaterialsPROCESSPr

2、oductRaw MaterialsDispersingGrindingMixingMasterSlurriesBinderCocktailPPPPPPPMoFa as a basis for production data Recipe Modularization Compact Setup Dispersion and Mixing PLC Controlled Sensors and interfaces AI Enabled Benefits in productionefficiency,stability andsustainabilityWhere are we and whe

3、re do we want to goto?Instable processes complex formulationsRaw material variation final productDifficult prediction of product qualityMoFaAI?Where are we and where do we want to goto?Case Study at a Paint FactoryProblem to solve:Heterogeneous recipe structures adapted to the customer Low productio

4、n frequencies Difficult continuous data collection Raw material and recipe information is not sufficient as a basis for a qualityprediction Is an AI implementation possible at all?Phase 1:Status AnalysisInternal Analysis:Screening Data Get to know the data Data collection Data Bundling Creation of a

5、 database structure Based on this,further analysis AI-based data analysis on a defined product group Evaluation of correlations and patterns from the database Mathematical modelling to validate solutions for O.K.and not O.K.productsInternal Analysis:AUC EvaluationIdeal classifier100%TPR and 0%FPRPre

6、diction is consistent with the observedresultsClear distinction between TN and TPRandom Classifier50%TPR and 50%FPRIt is not possible to distinguish between TNand TPPredictive model is inappropriateInsufficient data basis=+=+Area under Curve(AUC)Internal Analysis:Check Models=+=+Area under Curve(AUC