{"title":"Design of Experiments approach and its application in the evaluation of experiments","authors":"O. Tůmová, L. Kupka, P. Netolický","doi":"10.1109/DIAGNOSTIKA.2018.8526104","DOIUrl":null,"url":null,"abstract":"- Design of experiments (DOE) is an important quality management tool that uses applied statistics to minimize the number of experiments. This tool is used both in experiments in the scientific research and in the industry, where the application is in pre-production stages of the product / process design or its optimization. It provides an economically efficient diagnostics of the problem solved. The presented paper is going to be focused on the theoretical aspects of this statistical approach, with an emphasis on the assumptions for the planning and analysis of experiments according to this approach and the expected results.","PeriodicalId":211666,"journal":{"name":"2018 International Conference on Diagnostics in Electrical Engineering (Diagnostika)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Diagnostics in Electrical Engineering (Diagnostika)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DIAGNOSTIKA.2018.8526104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
- Design of experiments (DOE) is an important quality management tool that uses applied statistics to minimize the number of experiments. This tool is used both in experiments in the scientific research and in the industry, where the application is in pre-production stages of the product / process design or its optimization. It provides an economically efficient diagnostics of the problem solved. The presented paper is going to be focused on the theoretical aspects of this statistical approach, with an emphasis on the assumptions for the planning and analysis of experiments according to this approach and the expected results.