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<!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>24</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A novel deterministic model for simultaneous weekly assignment and scheduling decision-making in operating theaters</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>2035</FirstPage>
			<LastPage>2049</LastPage>
			<ELocationID EIdType="pii">4293</ELocationID>
			
<ELocationID EIdType="doi">10.24200/sci.2017.4293</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Haghi</LastName>
<Affiliation>Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>S.M.T.</FirstName>
					<LastName>Fatemi Ghomi</LastName>
<Affiliation>Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>P.</FirstName>
					<LastName>Hooshangi-Tabrizi</LastName>
<Affiliation>Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>06</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>This paper studies a simultaneous weekly assignment and scheduling decisionmaking problem in operating theaters with elective patients. Because of limited recourses in hospitals, considering assignment and scheduling decisions simultaneously can help mangers exploit the available resources more eciently and make the work-load uniformly distributed during the planning horizon. This procedure can signicantly reduce hospital costs and increase satisfaction of patients and personnel. This paper formulates the mentioned problem as a Mixed Integer Linear Program (MILP) considering applicable assumptions like nite recovery beds and limitation of equipment. Since the problem is NP-hard, in order to solve large-scale instances and deal with the complexity, two effective and ecient algorithms are designed. Finally, as a practical case of study, a real data set of a surgery department of a big hospital in Iran (Aalinasab-e Tabriz) is used to solve the&lt;br /&gt;studied problem by the proposed algorithms.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Operating room scheduling</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Elective patients</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Recovery beds</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Mixed integer linear program</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Meta-heuristic methods</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_4293_039e246d86f4422000013de7ff151499.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
