V. Abramov, E. J. Liskina, S. S. Mamonov, S. Vidov
{"title":"基于博弈论模型的销售量流计算","authors":"V. Abramov, E. J. Liskina, S. S. Mamonov, S. Vidov","doi":"10.2991/ahcs.k.191206.002","DOIUrl":null,"url":null,"abstract":"In this article, we have developed a formal decisionmaking model for an enterprise to market a single product in the future. The model is built in the form of an antagonistic twoperson game. The payoff function is the profit of the enterprise. We took into account the limitedness of the target segment and the supply volume of the enterprise competitors. Sales volumes were calculated by averaging the optimal risk-free and acceptable risk values. We used the forecasts of the probability distributions of competitive bids as information on the volume of such bids. As a result of the model application, we calculated the recommended sales volumes of the product and profit forecasts for the enterprise at several promising trading periods.","PeriodicalId":287734,"journal":{"name":"Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Calculation of the Sales Volumes Flow Based on the Game-Theoretic Model\",\"authors\":\"V. Abramov, E. J. Liskina, S. S. Mamonov, S. Vidov\",\"doi\":\"10.2991/ahcs.k.191206.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we have developed a formal decisionmaking model for an enterprise to market a single product in the future. The model is built in the form of an antagonistic twoperson game. The payoff function is the profit of the enterprise. We took into account the limitedness of the target segment and the supply volume of the enterprise competitors. Sales volumes were calculated by averaging the optimal risk-free and acceptable risk values. We used the forecasts of the probability distributions of competitive bids as information on the volume of such bids. As a result of the model application, we calculated the recommended sales volumes of the product and profit forecasts for the enterprise at several promising trading periods.\",\"PeriodicalId\":287734,\"journal\":{\"name\":\"Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/ahcs.k.191206.002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ahcs.k.191206.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Calculation of the Sales Volumes Flow Based on the Game-Theoretic Model
In this article, we have developed a formal decisionmaking model for an enterprise to market a single product in the future. The model is built in the form of an antagonistic twoperson game. The payoff function is the profit of the enterprise. We took into account the limitedness of the target segment and the supply volume of the enterprise competitors. Sales volumes were calculated by averaging the optimal risk-free and acceptable risk values. We used the forecasts of the probability distributions of competitive bids as information on the volume of such bids. As a result of the model application, we calculated the recommended sales volumes of the product and profit forecasts for the enterprise at several promising trading periods.