Ajou University repository

결합 분포에 기초한 2계 마코비안 도착과정의 생성에 관한 연구
Citations

SCOPUS

0

Citation Export

DC Field Value Language
dc.contributor.author김선교-
dc.date.issued2024-04-
dc.identifier.issn1225-0988-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/35985-
dc.description.abstractIn queueing network analysis, the Markovian arrival process, MAP, can be used as approximating arrival or departure processes. While the renewal processes such as Poisson process can be generated based on the marginal moments, the Markovian arrival process requires lag-1 joint moment or joint distribution function. In fact, the Markovian arrival process can be simulated by two transition rate matrices, (D0, D1), which is called the Markovian representation. However, finding a Markovian representation of higher order involves a numerically iterative procedure due to redundancy in the Markovian representation. Since there is one-to-one correspondence between joint moments and the coefficients of the joint Laplace transform, generating a MAP based on joint distribution can be much less complicated. In this paper, we propose an approach to generate a MAP based on joint distribution function which can be quickly obtained from joint moments and joint Laplace transform. Closed form formula and streamlined procedures are given for the simulation of MAP of order 2.-
dc.language.isoKor-
dc.publisher대한산업공학회-
dc.title결합 분포에 기초한 2계 마코비안 도착과정의 생성에 관한 연구-
dc.title.alternativeGeneration of the Markovian Arrival Process of Order 2 Based on Joint Distribution-
dc.typeArticle-
dc.citation.endPage88-
dc.citation.number2-
dc.citation.startPage83-
dc.citation.title대한산업공학회지-
dc.citation.volume50-
dc.identifier.bibliographicCitation대한산업공학회지, Vol.50 No.2, pp.83-88-
dc.identifier.doi10.7232/JKIIE.2024.50.2.083-
dc.subject.keywordMarkovian Arrival Process-
dc.subject.keywordMoment Matching-
dc.subject.keywordLaplace Transform-
dc.subject.keywordLag-1 Joint Distribution Of Intervals-
dc.type.otherArticle-
Show simple item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Kim, Sunkyo Image
Kim, Sunkyo김선교
Department of Business Administration
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.