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<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>International Journal of Mathematical Modelling &amp; Computations</JournalTitle>
<Issn>2228-6233</Issn>
<Volume>16</Volume>
<Issue>1</Issue>
<PubDate PubStatus="epublish">
<Year>2026</Year>
<Month>03</Month>
<Day>31</Day>
</PubDate>
</Journal>
<ArticleTitle>Presenting the Contract Selection Model of SupplyChain Management with Uncertainty Approachand Multi-criteria Decision Making Methods inGas Company of Khuzestan Province</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage></FirstPage>
<LastPage></LastPage>
<ELocationID EIdType="doi">10.57647/jm2c.2026.160105</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Esmaeil</FirstName>
<LastName>Kamaee</LastName>
<Affiliation>Department of Industrial Management, Isf.C., Islamic Azad University, Isfahan, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Mohammad</FirstName>
<LastName>Jalali  Varnamkhasti</LastName>
<Affiliation>Department of Mathematics, Isf.C., Islamic Azad University, Isfahan, Iran</Affiliation>
<Identifier Source="ORCID">https://orcid.org/0000-0003-2939-4253</Identifier>
</Author>
<Author>
<FirstName>Mojtaba</FirstName>
<LastName>Aghajani</LastName>
<Affiliation>Department of Management, Mo.C, Islamic Azad University, Mobarakeh, Isfahan, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2026</Year>
<Month>03</Month>
<Day>31</Day>
</PubDate>
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<Abstract>Selecting the appropriate supply chain contract under conditions of uncertainty is a critical and complex challenge, particularly within volatile sectors like the oil and gas industry. This research aims to develop and present a comprehensive, structured model for supply chain management contract selection tailored to the specific needs of the Khuzestan Province Gas Company. The study utilizes a mixed-methods approach, beginning with a qualitative meta-synthesis of existing literature to identify and screen the primary criteria and sub-criteria for contract selection. Subsequently, a hybrid Multi-Criteria Decision-Making (MCDM) model is implemented, using the Decision Making Trial and Evaluation Laboratory (DEMATEL) technique to analyze the causal relationships among criteria, followed by the Analytic Network Process (ANP) to determine the final weights and rankings based on data collected from industry experts. The findings from the DEMATEL analysis reveal a distinct cause-and-effect structure, identifying "Environmental and Social," "Economic and Financial," and "Quality and Innovation" as the foundational causal factors that influence the effect criteria of "Management and Logistics," "Supplier Performance," and "Communication and Collaboration". The final ranking results from the ANP method surprisingly indicate that "Management and Logistics" (weight: 0.529) and "Communication and Collaboration" (weight: 0.406) are the most critical criteria, significantly outweighing "Economic and Financial Factors". This suggests a strategic prioritization of operational stability and partnership quality over purely cost-based considerations. Ultimately, this study provides a practical and defensible framework that transforms a complex decision into a structured process for managers. It proposes a two-stage evaluation system as an actionable solution, where suppliers are first screened by causal criteria and then selected based on high-priority effect criteria.</Abstract>
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<Object Type="keyword">
<Param Name="value">Supply Chain Management</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Contract Selection</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Uncertainty Conditions</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Supplier Selection</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Meta-Synthesis Method</Param>
</Object>
</ObjectList>
</Article>
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