<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Qom</PublisherName>
				<JournalTitle>Journal of Engineering Management and Soft Computing</JournalTitle>
				<Issn>3116-0158</Issn>
				<Volume>7</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>09</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A combined multi objective model to supplier evaluation and selection and order allocation using AHP and TOPSIS</ArticleTitle>
<VernacularTitle>-ارائه یک مدل تلفیقی چندهدفه با استفاده از الگوریتم‌های AHP و TOPSIS برای ارزیابی و انتخاب تأمین کنندگان و تخصیص سفارش</VernacularTitle>
			<FirstPage>89</FirstPage>
			<LastPage>106</LastPage>
			<ELocationID EIdType="pii">879</ELocationID>
			
<ELocationID EIdType="doi">10.22091/jemsc.2017.879</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Nazeri</LastName>
<Affiliation>Assistant Prof., Department of Industrial Engineering, Damavand Islamic Azad University, Damavand, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Bohlool</FirstName>
					<LastName>Ebrahimi</LastName>
<Affiliation>Ph.D. Student, Industrial Engineering, Department of Industrial Engineering, Technology development institute(ACECR), Iran</Affiliation>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Naderikia</LastName>
<Affiliation>MSc. Department of Management, Islamic Azad University, Damavand Science &amp; Research Branch, Damavand, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>Supplier selection and allocating orders to them accurately, is one of the most important challenges in supply chain management.The reasone is that an incorrect choosing suppliers can disrupt the financial and technical position of supply chain. Whereas the supplier selection is a multi-objective decision making with multiple criteria problem, in this paper a linear multi-objective mathematical programming model is presented. In this model, Analytic Hierarchy Process (AHP) has been used for determining supplier’s priority (weight). By choosing proper evaluation criteria, appropriate number of suppliers and suitable amount of row material orders from each supplier can be specified. The presented model is a mathematical programming model that includes five objective functions and several contraints. Epsilon constraint method is applied to solve the model using a pharmaceutical company data. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) has carried out to determine the best answer Among Pareto solutions. The results of numerical example and sensitivity analysis show the applicability of the suggested model.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">AHP</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">multi-objective mathematical programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">order allocation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">supplier evaluation and selection</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">supply chain</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jemsc.qom.ac.ir/article_879_3e4d68fd9e17a22239737c000d929ef8.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
