 <?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>Kharazmi University</PublisherName>
				<JournalTitle>International Journal of Supply and Operations Management</JournalTitle>
				<Issn>2383-1359</Issn>
				<Volume>2</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>11</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Inventory Model for Deteriorating Items Involving Fuzzy with Shortages and Exponential Demand</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>888</FirstPage>
			<LastPage>904</LastPage>
			<ELocationID EIdType="pii">2543</ELocationID>
			
<ELocationID EIdType="doi">10.22034/2015.3.05</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Sharmila</FirstName>
					<LastName>Vijai Stanly</LastName>
<Affiliation>The Gandhigram Rural Institute, Deemed University, Gandhigram, India</Affiliation>

</Author>
<Author>
					<FirstName>R</FirstName>
					<LastName>Uthayakumar</LastName>
<Affiliation>The Gandhigram Rural Institute, Deemed University, Gandhigram, India</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>08</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>This paper considers the fuzzy inventory model for deteriorating items for power demand under fully backlogged conditions. We define various factors which are affecting the inventory cost by using the shortage costs. An intention of this paper is to study the inventory modelling through fuzzy environment. Inventory parameters, such as holding cost, shortage cost, purchasing cost and deterioration cost are assumed to be the trapezoidal fuzzy numbers. In addition, an efficient algorithm is developed to determine the optimal policy, and the computational effort and time are small for the proposed algorithm. It is simple to implement, and our approach is illustrated through some numerical examples to demonstrate the application and the performance of the proposed methodology.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Exponential Demand</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Deterioration</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Shortages</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Trapezoidal Fuzzy Numbers</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy Demand</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy Deterioration</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">http://www.ijsom.com/article_2543_d9252123e6a9ce6d95452f08071cf189.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
