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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Parseh Designers Transportation Research Institute</PublisherName>
				<JournalTitle>Quarterly Journal of Transportation Engineering</JournalTitle>
				<Issn>2008-6598</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2020</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Robust Periodic Vehicle Routing Problem of the Home Healthcare of Peritoneal Dialysis patients</ArticleTitle>
<VernacularTitle>The Robust Periodic Vehicle Routing Problem of the Home Healthcare of Peritoneal Dialysis patients</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">119610</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mona</FirstName>
					<LastName>Issabakhsh</LastName>
<Affiliation>School of industrial engineering, Iran university of science and technology</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>07</Month>
					<Day>27</Day>
				</PubDate>
			</History>
		<Abstract>Satisfying the healthcare needs of patients at home have so many advantages in today’s world. Providing an orderly series of health services both decreases the costs and speeds up healing of patients. For instance by replacing hemodialysis with peritoneal dialysis which can be done at home, patients feel more comfortable and the medical expenses would be lower. In this paper a periodic robust vehicle routing mathematical model with simultaneous deliveries and pickups and soft time windows to serve peritoneal dialysis patients at home is developed. The model is built according to the issues and problems seen in dialysis center of Hasheminejad kidney center. It has been tried to consider realistic assumptions in the model design, such as the uncertainty in the travel time of the vehicle. Having the sensitiveness of providing timely healthcare service in mind, a method should be applied to face the uncertainty in time which guarantees minimum risk. Results show that the presented robust model at the worst condition or in other words at the maximum uncertainty level has no constraint violations. It means that by using this model the chance of providing timely health service would be enhanced.</Abstract>
			<OtherAbstract Language="FA">Satisfying the healthcare needs of patients at home have so many advantages in today’s world. Providing an orderly series of health services both decreases the costs and speeds up healing of patients. For instance by replacing hemodialysis with peritoneal dialysis which can be done at home, patients feel more comfortable and the medical expenses would be lower. In this paper a periodic robust vehicle routing mathematical model with simultaneous deliveries and pickups and soft time windows to serve peritoneal dialysis patients at home is developed. The model is built according to the issues and problems seen in dialysis center of Hasheminejad kidney center. It has been tried to consider realistic assumptions in the model design, such as the uncertainty in the travel time of the vehicle. Having the sensitiveness of providing timely healthcare service in mind, a method should be applied to face the uncertainty in time which guarantees minimum risk. Results show that the presented robust model at the worst condition or in other words at the maximum uncertainty level has no constraint violations. It means that by using this model the chance of providing timely health service would be enhanced.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Periodic vehicle routing problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Home healthcare</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">peritoneal dialysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Uncertainty</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">robust optimization</Param>
			</Object>
		</ObjectList>
</Article>
</ArticleSet>
