{"title":"蒙特卡罗仿真方法在MATLAB脚本决策支持中的应用","authors":"Viliam Mojský, K. Achimský","doi":"10.26552/TAC.C.2020.1.4","DOIUrl":null,"url":null,"abstract":"In our research we examined the possibility of using Monte Carlo simulation to support decision making through simulation models. For this purpose, we chose a basic economy task assignment. Subsequently, we created a simulation algorithm in Matlab, where we searched for the optimal amount of offered products based on the task inputs. The output of the research is a simulation algorithm using the Monte Carlo method to solve a given economic problem.","PeriodicalId":145513,"journal":{"name":"Transport and Communications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Use of Monte Carlo Simulation Method in Decision Support Via MATLAB Script\",\"authors\":\"Viliam Mojský, K. Achimský\",\"doi\":\"10.26552/TAC.C.2020.1.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In our research we examined the possibility of using Monte Carlo simulation to support decision making through simulation models. For this purpose, we chose a basic economy task assignment. Subsequently, we created a simulation algorithm in Matlab, where we searched for the optimal amount of offered products based on the task inputs. The output of the research is a simulation algorithm using the Monte Carlo method to solve a given economic problem.\",\"PeriodicalId\":145513,\"journal\":{\"name\":\"Transport and Communications\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transport and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26552/TAC.C.2020.1.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26552/TAC.C.2020.1.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Use of Monte Carlo Simulation Method in Decision Support Via MATLAB Script
In our research we examined the possibility of using Monte Carlo simulation to support decision making through simulation models. For this purpose, we chose a basic economy task assignment. Subsequently, we created a simulation algorithm in Matlab, where we searched for the optimal amount of offered products based on the task inputs. The output of the research is a simulation algorithm using the Monte Carlo method to solve a given economic problem.
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