K. Rezaie, A. Haeri, M. S. Amalnik, A. Ansarinejad
{"title":"Using Augmented DEA to Calculate Efficiency Scores of Organizational Resources","authors":"K. Rezaie, A. Haeri, M. S. Amalnik, A. Ansarinejad","doi":"10.1109/UKSIM.2011.76","DOIUrl":null,"url":null,"abstract":"Organizations used resources to perform their processes and activities. Different resources are transformed to other form continuously. These transformations can be used in efficient or non-efficient manner. In this paper data envelopment analysis (DEA) is used to calculate efficiency scores of resources to can rank resources considering efficiency in resource transformation issue. In this paper a modified version of DEA (Augmented DEA) is used to increase discrimination power of DEA to can prioritize resources correctly. Finally results of augmented DEA method is compared with results of previous approach of resource efficiency calculation.","PeriodicalId":161995,"journal":{"name":"2011 UkSim 13th International Conference on Computer Modelling and Simulation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 UkSim 13th International Conference on Computer Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKSIM.2011.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Organizations used resources to perform their processes and activities. Different resources are transformed to other form continuously. These transformations can be used in efficient or non-efficient manner. In this paper data envelopment analysis (DEA) is used to calculate efficiency scores of resources to can rank resources considering efficiency in resource transformation issue. In this paper a modified version of DEA (Augmented DEA) is used to increase discrimination power of DEA to can prioritize resources correctly. Finally results of augmented DEA method is compared with results of previous approach of resource efficiency calculation.