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<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>International Journal of Mathematical Modelling &amp; Computations</JournalTitle>
<Issn>2228-6233</Issn>
<Volume>14</Volume>
<Issue>3</Issue>
<PubDate PubStatus="epublish">
<Year>2024</Year>
<Month>09</Month>
<Day>10</Day>
</PubDate>
</Journal>
<ArticleTitle>A Supplier Evaluation Approach for Designing an Optimal Supply Chain Network: A Novel Mathematical DEA Model</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage>201</FirstPage>
<LastPage>211</LastPage>
<ELocationID EIdType="doi">10.71932/ijm.2024.1187089</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Javad </FirstName>
<LastName>Mohammad Ghasemi</LastName>
<Affiliation>Department of industrial engineering, Central tehran Branch, Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>S. Esmaeil</FirstName>
<LastName>Najafi</LastName>
<Affiliation>Department of  Industrial Engineering, Science and Research Branch of the Islamic Azad University</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Mohammad Reza </FirstName>
<LastName>Nabatchian</LastName>
<Affiliation>Department of industrial engineering, Central tehran Branch, Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Mohammad</FirstName>
<LastName>Fallah</LastName>
<Affiliation>Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2024</Year>
<Month>09</Month>
<Day>10</Day>
</PubDate>
</History>
<Abstract>The supplier evaluation process is a systematic approach used by organizations to determine and choose the best vendors to construct an optimal supply chain network. In other words, in supply chain management, identifying the suitable suppliers can play a key role in the success of the supply chain networks. To this end, different researchers have developed various approaches to evaluate and select the best suppliers. The current study provides a novel mathematical data envelopment analysis (DEA) approach to evaluate the suppliers and select the best efficient supplier among the set of efficient suppliers. The proposed approach solves only one mixed integer DEA model to determine the best efficient supplier. The approach not only determines the best efficient supplier, but also finds and ranks all efficient suppliers. Moreover, the presented model considers the decision maker preferences about the relative importance of supplier evaluation factors. We provide a real-life numerical example to illustrate and show the applicability and efficacy of the new approach.
&amp;nbsp;</Abstract>
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<Param Name="value">Supplier evaluation</Param>
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<Object Type="keyword">
<Param Name="value">optimal supply chain</Param>
</Object>
<Object Type="keyword">
<Param Name="value">best efficient supplier</Param>
</Object>
<Object Type="keyword">
<Param Name="value">data envelopment analysis (DEA)</Param>
</Object>
<Object Type="keyword">
<Param Name="value">mathematical model.</Param>
</Object>
</ObjectList>
</Article>
</ArticleSet>