{"title":"客港船舶流建模分布类型分析","authors":"M. R. Yazvenko","doi":"10.31799/2077-5687-2021-3-23-28","DOIUrl":null,"url":null,"abstract":"This article presents a comparison of various types of mathematical distributions for arriving flow of ships using imitation model of the marine passenger port of St. Petersburg. In the course of analyzing the arrivals of cruise ships at the port in the past years, a confidence interval was determined in which the predicted number of ships entering the passenger port may fluctuate. Determination of possible fluctuations of incoming flow significantly simplifies the process of making management decisions in the port under conditions of uncertainty.","PeriodicalId":329114,"journal":{"name":"System analysis and logistics","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ANALYSIS OF DISTRIBUTIONS TYPES FOR MODELING FLOW OF SHIPS IN THE PASSENGER PORT\",\"authors\":\"M. R. Yazvenko\",\"doi\":\"10.31799/2077-5687-2021-3-23-28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a comparison of various types of mathematical distributions for arriving flow of ships using imitation model of the marine passenger port of St. Petersburg. In the course of analyzing the arrivals of cruise ships at the port in the past years, a confidence interval was determined in which the predicted number of ships entering the passenger port may fluctuate. Determination of possible fluctuations of incoming flow significantly simplifies the process of making management decisions in the port under conditions of uncertainty.\",\"PeriodicalId\":329114,\"journal\":{\"name\":\"System analysis and logistics\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"System analysis and logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31799/2077-5687-2021-3-23-28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"System analysis and logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31799/2077-5687-2021-3-23-28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ANALYSIS OF DISTRIBUTIONS TYPES FOR MODELING FLOW OF SHIPS IN THE PASSENGER PORT
This article presents a comparison of various types of mathematical distributions for arriving flow of ships using imitation model of the marine passenger port of St. Petersburg. In the course of analyzing the arrivals of cruise ships at the port in the past years, a confidence interval was determined in which the predicted number of ships entering the passenger port may fluctuate. Determination of possible fluctuations of incoming flow significantly simplifies the process of making management decisions in the port under conditions of uncertainty.