<?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>Sharif University of Technology</PublisherName>
				<JournalTitle>Scientia Iranica</JournalTitle>
				<Issn>1026-3098</Issn>
				<Volume>15</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2008</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Quality Function Deployment, Value Engineering and Target Costing, an Integrated Framework in Design Cost Management: A Mathematical Programming Approach</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">2947</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>S.H.</FirstName>
					<LastName>Zegordi</LastName>
<Affiliation>Department of Industrial Engineering,Tarbiat Modares University</Affiliation>

</Author>
<Author>
					<FirstName>F.</FirstName>
					<LastName>Jariri</LastName>
<Affiliation>Department of Industrial Engineering,Tarbiat Modares University</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2009</Year>
					<Month>05</Month>
					<Day>27</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, the need to incorporate three famous design cost management methods, called:
Quality Function Deployment (QFD), Value Engineering (VE) and Target Costing (TC) into
a single model has been addressed. Each method performs very well in cost management
procedures as design activities. These methods have been incorporated into a mathematical
programming model, in order to achieve the maximum benet of each method. The model,
essentially, optimizes customer satisfaction subject to target cost. The tool is a mixed integer
zero-one nonlinear programming. The unied model has been proposed to prevent a non-optimal
solution when methods interact with each other. The practitioner should be condent that the
quality solution would be achieved in contrast to when the methods are applied sequentially. A
simple automobile design example was formulated and solved to show the performance of the
model.</Abstract>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_2947_da3affdb30438a91b2a922e8f87ea4d7.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
