J. Shie, Apisit Chittawanij, L. Hong, Chang-Jun Lai, Yun-Jr Lai, F. Juang, Pei-Hsun Yeh, Yu-Sheng Tsa
{"title":"Material structure selection of blue organic light emitting diodes utilizing a hybrid experimental design","authors":"J. Shie, Apisit Chittawanij, L. Hong, Chang-Jun Lai, Yun-Jr Lai, F. Juang, Pei-Hsun Yeh, Yu-Sheng Tsa","doi":"10.1109/ISNE.2016.7543394","DOIUrl":null,"url":null,"abstract":"A hybrid approach integrating a Taguchi orthogonal table with an irregular design of experiments (DOE) method was proposed for selecting an optimal material structure of blue organic light emitting diodes in order to achieve multi-objective quality characteristics of devices. Analysis of variance (ANOVA) was adopted to identify significant factors before regression models were obtained. Finally, an optimal material structure was determined by maximizing a desirability function relating to selected critical quality characteristics including the driving voltage, the luminance, and luminance efficiency.","PeriodicalId":127324,"journal":{"name":"2016 5th International Symposium on Next-Generation Electronics (ISNE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th International Symposium on Next-Generation Electronics (ISNE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISNE.2016.7543394","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
A hybrid approach integrating a Taguchi orthogonal table with an irregular design of experiments (DOE) method was proposed for selecting an optimal material structure of blue organic light emitting diodes in order to achieve multi-objective quality characteristics of devices. Analysis of variance (ANOVA) was adopted to identify significant factors before regression models were obtained. Finally, an optimal material structure was determined by maximizing a desirability function relating to selected critical quality characteristics including the driving voltage, the luminance, and luminance efficiency.