{"title":"Statistical models for enterprise compensation system","authors":"A. Mitsel, A. Shilnikov","doi":"10.21293/1818-0442-2021-24-3-69-73","DOIUrl":null,"url":null,"abstract":"The article discusses the topic of simulation modeling for compensation system (CS). These models are used as a core of the decision-making system (DSS) for the needs of compensation. The authors propose two solutions for compensation plan modeling: 1) Conceiving analytical statistical model; 2) Developing simulation model. The second solution is presented in the article. Some particular CS models are put forward. Based on the obtained synthetic data, following results are achieved: 1) probability densities functions of different CS result indicators are defined; 2) statistical characteristics of CS indicators are reviewed; 3) probability of CS efficiency is measured.","PeriodicalId":273068,"journal":{"name":"Proceedings of Tomsk State University of Control Systems and Radioelectronics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Tomsk State University of Control Systems and Radioelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21293/1818-0442-2021-24-3-69-73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article discusses the topic of simulation modeling for compensation system (CS). These models are used as a core of the decision-making system (DSS) for the needs of compensation. The authors propose two solutions for compensation plan modeling: 1) Conceiving analytical statistical model; 2) Developing simulation model. The second solution is presented in the article. Some particular CS models are put forward. Based on the obtained synthetic data, following results are achieved: 1) probability densities functions of different CS result indicators are defined; 2) statistical characteristics of CS indicators are reviewed; 3) probability of CS efficiency is measured.