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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Allameh Tabataba'i University Press</PublisherName>
				<JournalTitle>Journal of Mathematics and Modeling in Finance</JournalTitle>
				<Issn>2783-0578</Issn>
				<Volume>2</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Introduction a method of determining returns to scale in network data envelopment analysis</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>15</FirstPage>
			<LastPage>36</LastPage>
			<ELocationID EIdType="pii">15184</ELocationID>
			
<ELocationID EIdType="doi">10.22054/jmmf.2023.15184</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hadi</FirstName>
					<LastName>Bagherzadeh Valami</LastName>
<Affiliation>No 17,8th alley, varze street,
West ferdos boulivard, Tehran</Affiliation>

</Author>
<Author>
					<FirstName>Zeinab</FirstName>
					<LastName>Sinaei Nasab</LastName>
<Affiliation>Applied mathematics, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>06</Month>
					<Day>20</Day>
				</PubDate>
			</History>
		<Abstract>In the process of evaluating the Decision Making Units, two factors of efficiency and production size can be used. When the production size of a unit is not optimal, its Returns To Scale (RTS) determines that changing the resources in another&lt;br /&gt;direction would enhance its productivity. In most previous research, RTS is considered to be increasing or decreasing, and frontier analysis is used to determine it. The concept of RTS in Network Data Envelopment Analysis (DEA) is so interesting. In this paper a method based on Most Productive Scale Size (MPSS) in several steps is developed, in addition to determining that RTS of units for each unit in directional manner, the shortest changes in resources for achieving the right size for network production is also obtained. In this approach, the computational complexity, and the ambiguity in units RTS is not present.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Data Envelopment Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Network data envelopment analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Returns to Scale</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Efficiency</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Most Productive Scale Size</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmmf.atu.ac.ir/article_15184_47438e00fb33f5edd832109a766f7fab.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
