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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Computational Sciences and Engineering</JournalTitle>
				<Issn>2783-2503</Issn>
				<Volume>3</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>06</Month>
					<Day>02</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A maximum entropy approach for the N policy M/G/1 queueing system with a removable server</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>219</FirstPage>
			<LastPage>229</LastPage>
			<ELocationID EIdType="pii">7780</ELocationID>
			
<ELocationID EIdType="doi">10.22124/cse.2024.27465.1079</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Moein</FirstName>
					<LastName>Mohsenzadeh</LastName>
<Affiliation>Department of Statistics, Allameh Tabataba’i University, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Abdolrahim</FirstName>
					<LastName>Badamchizadeh</LastName>
<Affiliation>Department of Statistics, Allameh Tabataba’i University, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Jelodari Mamaghani</LastName>
<Affiliation>Department of Mathematics, Allameh Tabataba'i University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>05</Month>
					<Day>13</Day>
				</PubDate>
			</History>
		<Abstract>The maximum entropy principle has grown progressively more pertinent to queueing systems. The principle of maximum entropy presents an impartial framework as a promising method to examine complex queuing processes. In this research, the N policy M/G/1 queueing system with a removable server was analyzed by using the maximum entropy method. We use maximum entropy principle to derive the approximate formulas for the steady-state probability distributions of the queue length. The maximum entropy approach is then used to give a comparative perusal between the system’s exact and estimated waiting times. We demonstrate that the maximum entropy approach is efficient enough for practical purpose and is a feasible method for approximating the solution of complex queueing systems.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">maximum entropy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">M/G/1 queueing system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">N policy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">removable server</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cse.guilan.ac.ir/article_7780_cf801531adfd085623d27e7305fe93f1.pdf</ArchiveCopySource>
</Article>
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