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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Interdisciplinary Journal of Management Studies</JournalTitle>
				<Issn>2981-0795</Issn>
				<Volume>12</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Simulation-Optimization Model For Capacity Coordination In Make To Stock/Make To Order Production Environments</ArticleTitle>
<VernacularTitle>مدل شبیه سازی – بهینه سازی برای توازن ظرفیت در محیط های تولیدی ساخت بر مبنای انبارش/ ساخت بر مبنای سفارش</VernacularTitle>
			<FirstPage>235</FirstPage>
			<LastPage>253</LastPage>
			<ELocationID EIdType="pii">69922</ELocationID>
			
<ELocationID EIdType="doi">10.22059/ijms.2019.255382.673087</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Helia</FirstName>
					<LastName>Yousefnejad</LastName>
<Affiliation>School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Masoud</FirstName>
					<LastName>Rabbani</LastName>
<Affiliation>School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Neda</FirstName>
					<LastName>Manavizadeh</LastName>
<Affiliation>Department of Industrial Engineering, Khatam University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>04</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>Capacity coordination, as the tactical level of hierarchical production planning in hybrid MTS/MTO systems, includes numerous important decisions. In this paper, two of these decisions i.e. finding the best strategy for the acceptance/rejection of incoming orders and determining orders’ due dates – are investigated. Also a simulation model is proposed to evaluate the efficiency of the presented mixed integer model. Finally, an industrial case study is considered in a food processing plant to evaluate the proposed framework and conduct suitable sensitivity analysis.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Production Planning</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Make to stock</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Make to order</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Order Acceptance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Simulation Optimization</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijms.ut.ac.ir/article_69922_14088e4c7fba1c0b89f7aaf418a56306.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
