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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Journal of Industrial Management Perspective</JournalTitle>
				<Issn>2251-9874</Issn>
				<Volume>1</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>02</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>To Determine Technology Management Position in Sepah Bank using Analytic Network Process and VIKOR</ArticleTitle>
<VernacularTitle>To Determine Technology Management Position in Sepah Bank using Analytic Network Process and VIKOR</VernacularTitle>
			<FirstPage>9</FirstPage>
			<LastPage>27</LastPage>
			<ELocationID EIdType="pii">87355</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Maghsoud</FirstName>
					<LastName>Amiri</LastName>
<Affiliation>Professor, Allameh Tabatabaei University.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>10</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>The management of technology is a vital determinant of long-run success or failure of organizations. Because technology is an importance factor in extension of world economic, so existent and new technology management influences on business level. This paper analyzes technology management position in Sepah bank and proposes an approach based on combining Analytic Network Process (ANP) and VIKOR techniques for understanding relation between competitive advantages and preferences of the bank. Therefore, for weighting criteria is used ANP technique and VIKOR method to ranking operational plans of the bank. In this paper, is surveyed the group understanding of Sepah bank’ managers, so that the results obtained can help the bank’ managers to expedite targets and guidance plans.</Abstract>
			<OtherAbstract Language="FA">The management of technology is a vital determinant of long-run success or failure of organizations. Because technology is an importance factor in extension of world economic, so existent and new technology management influences on business level. This paper analyzes technology management position in Sepah bank and proposes an approach based on combining Analytic Network Process (ANP) and VIKOR techniques for understanding relation between competitive advantages and preferences of the bank. Therefore, for weighting criteria is used ANP technique and VIKOR method to ranking operational plans of the bank. In this paper, is surveyed the group understanding of Sepah bank’ managers, so that the results obtained can help the bank’ managers to expedite targets and guidance plans.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Technology Management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Group Decision Making</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Analytic Network Process</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">VIKOR Method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jimp.sbu.ac.ir/article_87355_64e662c23d7dee9130fc5048eebcd260.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Journal of Industrial Management Perspective</JournalTitle>
				<Issn>2251-9874</Issn>
				<Volume>1</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>02</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Supply Chain Coordination in The Automotive Industry: A Grounded Theory Approach</ArticleTitle>
<VernacularTitle>Supply Chain Coordination in The Automotive Industry: A Grounded Theory Approach</VernacularTitle>
			<FirstPage>29</FirstPage>
			<LastPage>63</LastPage>
			<ELocationID EIdType="pii">87356</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Mohaghar</LastName>
<Affiliation>Professor, University of Tehran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Reza</FirstName>
					<LastName>Sadeghi Moghadam</LastName>
<Affiliation>Associate Professor, University of Tehran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>10</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>According to the extension of coordination phenomena in general and/or especially in the supply chain issues, in this study it was attempted to by clarifyingthe components and dimension of coordination phenomenon, defineits meaning clearly. Researchers using three-step approach with an inductive method, grounded theory, studied the coordination concept and by the zigzag movement between automotive industry experts and literatures discoveredformulated it; In addition they determined the accuracy of the results by systematic data analysis. We categorized coordination phenomenon by bench marking with the paradigmatic model in 5 dimensions, 16 sub-dimensions and 57 characteristics.</Abstract>
			<OtherAbstract Language="FA">According to the extension of coordination phenomena in general and/or especially in the supply chain issues, in this study it was attempted to by clarifyingthe components and dimension of coordination phenomenon, defineits meaning clearly. Researchers using three-step approach with an inductive method, grounded theory, studied the coordination concept and by the zigzag movement between automotive industry experts and literatures discoveredformulated it; In addition they determined the accuracy of the results by systematic data analysis. We categorized coordination phenomenon by bench marking with the paradigmatic model in 5 dimensions, 16 sub-dimensions and 57 characteristics.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Coordination</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Supply Chain</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Automotive Industry</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Grounded theory</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jimp.sbu.ac.ir/article_87356_1aac2ca791a8166af71280bf7710bbdb.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Journal of Industrial Management Perspective</JournalTitle>
				<Issn>2251-9874</Issn>
				<Volume>1</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>02</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Design of Mathematical Model of Flexibility for Production System</ArticleTitle>
<VernacularTitle>The Design of Mathematical Model of Flexibility for Production System</VernacularTitle>
			<FirstPage>65</FirstPage>
			<LastPage>79</LastPage>
			<ELocationID EIdType="pii">87357</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Adel</FirstName>
					<LastName>Azar</LastName>
<Affiliation>Professor, Tarbiat Modares University.</Affiliation>

</Author>
<Author>
					<FirstName>Hamed</FirstName>
					<LastName>Abasi</LastName>
<Affiliation>Ph.D Student, Tarbiat Modares University.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>10</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>One of the environmental values in international competition arena is the capability of providing relative and competitive advantage, in dynamic and mutative environment of the modern industry. In this way, applying the flexible and agile systems in products and production process is emphasized. Also, it is inevitable to pay attention to quality and customer requirements in this regard. Organizations and specially the industrial corporations should be able to respond to their dynamic and complex environment so, they should be able to incorporate these environmental values in organization &amp; make them as a fundamental presumption and intra-organizational value through making their sustainable performance widespread. In Iran&#039;s production industries particularly automobile industries that face great changes and dynamism, the flexibility are necessary. Flexibility is a multi-dimensional &amp; pervasive concept, while there is no model for measuring it. So, the first point is the lack of a unique model and the second one is the lack of an easy measurement method. The main problem of this article is presenting a model for measuring organizational flexibility and comparing the results of solving the model to those of real situations of the Iran Khodro Company.</Abstract>
			<OtherAbstract Language="FA">One of the environmental values in international competition arena is the capability of providing relative and competitive advantage, in dynamic and mutative environment of the modern industry. In this way, applying the flexible and agile systems in products and production process is emphasized. Also, it is inevitable to pay attention to quality and customer requirements in this regard. Organizations and specially the industrial corporations should be able to respond to their dynamic and complex environment so, they should be able to incorporate these environmental values in organization &amp; make them as a fundamental presumption and intra-organizational value through making their sustainable performance widespread. In Iran&#039;s production industries particularly automobile industries that face great changes and dynamism, the flexibility are necessary. Flexibility is a multi-dimensional &amp; pervasive concept, while there is no model for measuring it. So, the first point is the lack of a unique model and the second one is the lack of an easy measurement method. The main problem of this article is presenting a model for measuring organizational flexibility and comparing the results of solving the model to those of real situations of the Iran Khodro Company.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Flexibility</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Agility</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Mathematical Modeling</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Goal Programming</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jimp.sbu.ac.ir/article_87357_bd1801e4983282bc8ab22e3d00d7fed6.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Journal of Industrial Management Perspective</JournalTitle>
				<Issn>2251-9874</Issn>
				<Volume>1</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>02</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Designing a Fuzzy Non-Linear Model of Supplier Selection in Case of Multiple Sourcing</ArticleTitle>
<VernacularTitle>Designing a Fuzzy Non-Linear Model of Supplier Selection in Case of Multiple Sourcing</VernacularTitle>
			<FirstPage>81</FirstPage>
			<LastPage>105</LastPage>
			<ELocationID EIdType="pii">87358</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Masood</FirstName>
					<LastName>Rabieh</LastName>
<Affiliation>Assistant Professor, Shahid Beheshti University.</Affiliation>

</Author>
<Author>
					<FirstName>Majid</FirstName>
					<LastName>Esmaelian</LastName>
<Affiliation>Assistant Professor, Isfahan University.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>10</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>Increasing global competition from one hand and customer’s diverse demand in today’s bussiness environement as well have caused the costs increase rapidly and profitability decrease as a result. Selecting the right suppliers can significantly reduce the purchasing cost and increase organization competitiveness. That’s why in most industries the cost of raw material and component part includes the main cost of a product. In the present study, Sintering Plant of Isfahan Steel Company was selected to be investigated. The inventories of this plant were categorized using the concepts of the VED and ABC methods. Two kinds of raw materials were found as the most important ones. The model of the supply of these materials with optimal consumption composite and the total cost of logistics, properties of suppliers and the buyer company was designed as a model of Mixed–Integer Fuzzy Non-Linear Programming type. Then the parameters of model using the company’s data within three previous years were computed. The performance of this model was examined using data of two consecutive years and the findings show 9/57 % and 6.49% cost reduction for two years, respectively.</Abstract>
			<OtherAbstract Language="FA">Increasing global competition from one hand and customer’s diverse demand in today’s bussiness environement as well have caused the costs increase rapidly and profitability decrease as a result. Selecting the right suppliers can significantly reduce the purchasing cost and increase organization competitiveness. That’s why in most industries the cost of raw material and component part includes the main cost of a product. In the present study, Sintering Plant of Isfahan Steel Company was selected to be investigated. The inventories of this plant were categorized using the concepts of the VED and ABC methods. Two kinds of raw materials were found as the most important ones. The model of the supply of these materials with optimal consumption composite and the total cost of logistics, properties of suppliers and the buyer company was designed as a model of Mixed–Integer Fuzzy Non-Linear Programming type. Then the parameters of model using the company’s data within three previous years were computed. The performance of this model was examined using data of two consecutive years and the findings show 9/57 % and 6.49% cost reduction for two years, respectively.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Supplier Selection</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Multiple Sourcing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Inventory Control</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Logistics Costs</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Mathematical Model</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jimp.sbu.ac.ir/article_87358_02b881e3bb30988503f4026bd1b8bc20.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Journal of Industrial Management Perspective</JournalTitle>
				<Issn>2251-9874</Issn>
				<Volume>1</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>02</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Futures studies of Key Technologies in Iranian ICT Industry with Emphasis on Business Model Detection</ArticleTitle>
<VernacularTitle>Futures studies of Key Technologies in Iranian ICT Industry with Emphasis on Business Model Detection</VernacularTitle>
			<FirstPage>107</FirstPage>
			<LastPage>130</LastPage>
			<ELocationID EIdType="pii">87359</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Zare MirakAbad</LastName>
<Affiliation>Ph.D, Candidate, Tehran University.</Affiliation>

</Author>
<Author>
					<FirstName>Eesa</FirstName>
					<LastName>Niazi</LastName>
<Affiliation>Ph.D, Candidate, Tehran University.</Affiliation>

</Author>
<Author>
					<FirstName>Sajjad</FirstName>
					<LastName>Salehi</LastName>
<Affiliation>MA, Tehran University.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>10</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>futures studies is a systematic process for drawing the medium and long term future of science, technology, economy and society so that its purpose is a exploring of strategic research domains and discovering new technologies with profound effects on economy, industrial competitiveness, wealth creation and quality of life. In general, futures studies is included drawing of future in current time even in scenario formats, and opportunities and threats in the future. Since all opportunities aren’t available and some of them must be created and some of threats must be prevented, the organizations are forced to pay attention to opportunities in the future. In this paper, by reviewing related works and documents, foresight literature is done with a meta analysis approach. In the next step, several foresight frameworks that have been introduced by researchers and experts, is reviewed and analyzed. Finally, key technologies in Iranian ICT industry are presented by using of qualitative research methods. For this purpose by enjoying focus group tools, several meetings were held with 9 persons of University of Tehran and ITRC experts. In the end, some business models including mobile service, intelligent computers, electronic assistant and etc. are detected. These models are the result of Iranian key technologies recognition and their capabilities.</Abstract>
			<OtherAbstract Language="FA">futures studies is a systematic process for drawing the medium and long term future of science, technology, economy and society so that its purpose is a exploring of strategic research domains and discovering new technologies with profound effects on economy, industrial competitiveness, wealth creation and quality of life. In general, futures studies is included drawing of future in current time even in scenario formats, and opportunities and threats in the future. Since all opportunities aren’t available and some of them must be created and some of threats must be prevented, the organizations are forced to pay attention to opportunities in the future. In this paper, by reviewing related works and documents, foresight literature is done with a meta analysis approach. In the next step, several foresight frameworks that have been introduced by researchers and experts, is reviewed and analyzed. Finally, key technologies in Iranian ICT industry are presented by using of qualitative research methods. For this purpose by enjoying focus group tools, several meetings were held with 9 persons of University of Tehran and ITRC experts. In the end, some business models including mobile service, intelligent computers, electronic assistant and etc. are detected. These models are the result of Iranian key technologies recognition and their capabilities.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Futures Studies</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Key Technologies</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Information and Communication Technology Industry</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Business Model</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jimp.sbu.ac.ir/article_87359_3c248cc5c2ae156cc6fb48b464067716.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Journal of Industrial Management Perspective</JournalTitle>
				<Issn>2251-9874</Issn>
				<Volume>1</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>02</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Modeling of Information Sharing in Supply Chain of IKKCo1 through Cognitive Mapping Approach</ArticleTitle>
<VernacularTitle>Modeling of Information Sharing in Supply Chain of IKKCo1 through Cognitive Mapping Approach</VernacularTitle>
			<FirstPage>131</FirstPage>
			<LastPage>151</LastPage>
			<ELocationID EIdType="pii">87360</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Safari</LastName>
<Affiliation>Associate Professor, Tehran University.</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Mehrabi</LastName>
<Affiliation>Assistant Professor, Shahid Chamran University Of Ahvaz.</Affiliation>

</Author>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Heshmatipour</LastName>
<Affiliation>Ms.c, Vali-E-Asr University Of Rafsanjan.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>10</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>One of the important issues of automobile industry is supply chain collaboration. With regard to importance of information sharing issue as a key mechanism in the supply chain collaboration for top managers of Iranian automobile companies, a conceptual model has been developed for information sharing in supply chain collaboration. In this paper, after describing the research problem, information sharing concept with review of literature of information sharing have been presented. Then, with a detailed review of literature and previous research papers, an initial research framework and applied research method has been proposed. The main and final section of paper assigned to describing the result of research in different steps of qualitative modeling process. The agreed concepts those are related to information sharing in supply chain, the elicited and analyzed experts Cause Map, the elicited collective causal maps, and the final proposed model for supply chain of IKK Company are the modeling results for this paper.</Abstract>
			<OtherAbstract Language="FA">One of the important issues of automobile industry is supply chain collaboration. With regard to importance of information sharing issue as a key mechanism in the supply chain collaboration for top managers of Iranian automobile companies, a conceptual model has been developed for information sharing in supply chain collaboration. In this paper, after describing the research problem, information sharing concept with review of literature of information sharing have been presented. Then, with a detailed review of literature and previous research papers, an initial research framework and applied research method has been proposed. The main and final section of paper assigned to describing the result of research in different steps of qualitative modeling process. The agreed concepts those are related to information sharing in supply chain, the elicited and analyzed experts Cause Map, the elicited collective causal maps, and the final proposed model for supply chain of IKK Company are the modeling results for this paper.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Supply Chain Collaboration</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Information sharing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Qualitative Modeling</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cognitive Mapping</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jimp.sbu.ac.ir/article_87360_497ebee732a3d49e329a11f340cef82e.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Journal of Industrial Management Perspective</JournalTitle>
				<Issn>2251-9874</Issn>
				<Volume>1</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>02</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Applying an Appropriate Mathematical Model to Evaluate Suppliers in Supply Chain using Mikhailov Method</ArticleTitle>
<VernacularTitle>Applying an Appropriate Mathematical Model to Evaluate Suppliers in Supply Chain using Mikhailov Method</VernacularTitle>
			<FirstPage>153</FirstPage>
			<LastPage>173</LastPage>
			<ELocationID EIdType="pii">87361</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ahmad</FirstName>
					<LastName>Tavakoli</LastName>
<Affiliation>Assistant professor, Ferdowsi university.</Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Didehkhani</LastName>
<Affiliation>Assistant professor, Islamic Azad University Aliabad Katoul Branch.</Affiliation>

</Author>
<Author>
					<FirstName>Amir</FirstName>
					<LastName>Kariznoee</LastName>
<Affiliation>M.A., Ferdowsi University.</Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Sadeghpoor</LastName>
<Affiliation>M.A., Ferdowsi University.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>10</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>One area of importance in Supply Chain Management Which has always been targeted by researchers is evaluating and selecting the suppliers. This article employs a mixed model of Fuzzy analytical hierarchy process and Fuzzy mathematical planning to assess and hand-pick suppliers of a car parts manufacturer. This model consists of two steps. In the first step, suppliers&#039; total utility has been measured considering 13 factors, Fuzzy analytical hierarchy process has been applied in this stage. In the second step using a Fuzzy mathematical planning model we recognized suppliers&#039; optimum purchasing basket. The algorithm used in analytical hierarchy process is Mikhailov algorithm which presents various advantages namely compatibility index, presenting a definite weight vector, and applicable with incomplete matrix. The result of the article show that applying this model will enable decision makers-merging quantitative and non quantitative criteria-not only to improve the quality of their decisions but also to be well assured of their course of actions.</Abstract>
			<OtherAbstract Language="FA">One area of importance in Supply Chain Management Which has always been targeted by researchers is evaluating and selecting the suppliers. This article employs a mixed model of Fuzzy analytical hierarchy process and Fuzzy mathematical planning to assess and hand-pick suppliers of a car parts manufacturer. This model consists of two steps. In the first step, suppliers&#039; total utility has been measured considering 13 factors, Fuzzy analytical hierarchy process has been applied in this stage. In the second step using a Fuzzy mathematical planning model we recognized suppliers&#039; optimum purchasing basket. The algorithm used in analytical hierarchy process is Mikhailov algorithm which presents various advantages namely compatibility index, presenting a definite weight vector, and applicable with incomplete matrix. The result of the article show that applying this model will enable decision makers-merging quantitative and non quantitative criteria-not only to improve the quality of their decisions but also to be well assured of their course of actions.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Suppliers' Evaluation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy Linear Programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy Analytical Hierarchy Process</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Mikhailove Method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jimp.sbu.ac.ir/article_87361_c259eb5a43fb78be674a580591eed8a1.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
