{"title":"ASSESSMENT OF THE DEGREE OF FITTING THE TRANSPORT POTENTIAL OF THE TRANSPORTATION COMPANY TO A RANDOM DEMAND FOR TRANSPORT SERVICES","authors":"G. Konopacki","doi":"10.22630/ISIM.2018.7.2.11","DOIUrl":null,"url":null,"abstract":"Will be considered transport company exploiting the uniform in the sense of destination, means of transport such as tankers, with a total transport potential equal to a loading units (e.g. tones). The company operates in the transport market, where demand for transport services is random. The problem of fitting the transport potential of a transport company to the demand for such services is formulated. As measure of this fit assumes that the probability of a firms transport potential is not being exceeded by demand over the given time horizon. Practically useful formulas for estimating such probability for cases where demand for transport services is described by stationary and non-stationary normal stochastic processes. The results are illustrated by numerical examples.","PeriodicalId":148634,"journal":{"name":"Information System in Management","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information System in Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22630/ISIM.2018.7.2.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Will be considered transport company exploiting the uniform in the sense of destination, means of transport such as tankers, with a total transport potential equal to a loading units (e.g. tones). The company operates in the transport market, where demand for transport services is random. The problem of fitting the transport potential of a transport company to the demand for such services is formulated. As measure of this fit assumes that the probability of a firms transport potential is not being exceeded by demand over the given time horizon. Practically useful formulas for estimating such probability for cases where demand for transport services is described by stationary and non-stationary normal stochastic processes. The results are illustrated by numerical examples.