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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sharif University of Technology</PublisherName>
				<JournalTitle>Scientia Iranica</JournalTitle>
				<Issn>1026-3098</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>04</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Backordering policy for hi-tech products with price and demand uncertainty during the pandemics</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">23559</ELocationID>
			
<ELocationID EIdType="doi">10.24200/sci.2024.61364.7268</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>C.P.</FirstName>
					<LastName>Yu</LastName>
<Affiliation>Department of Distribution Management, Takming University of Science and Technology, Taipei 114, Taiwan, ROC</Affiliation>

</Author>
<Author>
					<FirstName>Y.D.</FirstName>
					<LastName>Huang</LastName>
<Affiliation>School of Digital Economics, Changzhou College of Information Technology, Science Education City, Changzhou, Jiangsu 213164, China</Affiliation>

</Author>
<Author>
					<FirstName>J.M.</FirstName>
					<LastName>Chen</LastName>
<Affiliation>Institute of Industrial Management, National Central University, 300 Zhongda Road, Zhongli District, Taoyuan City, Taiwan, 32001, ROC</Affiliation>

</Author>
<Author>
					<FirstName>Y.M.</FirstName>
					<LastName>Yee</LastName>
<Affiliation>Department of Industrial and Systems Engineering, Chung Yuan Christian University, Zhongli District, Taoyuan City, Taiwan, 320314, ROC</Affiliation>

</Author>
<Author>
					<FirstName>Hui Ming</FirstName>
					<LastName>Wee</LastName>
<Affiliation>Industrial Engineering Department, Chung Yuan Christian University, Taoyuan city, Taiwan</Affiliation>

</Author>
<Author>
					<FirstName>YH</FirstName>
					<LastName>Liu</LastName>
<Affiliation>Marketing and Logistics Management Department, St. John’s University, Tamsui, Taipei 25135, Taiwan, ROC</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>11</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>The decline phase of a high-tech product&#039;s life cycle often causes variations in production schedules due to over or under production. To address this challenge, we propose a production-inventory model that considers decreasing demand and prices during pandemics. Our model aims to optimize replenishment, dispatching, and backordering policies, ultimately maximizing total profit for high-tech industries. Our proposed solution procedure derives optimal policies, taking into account the unique demands during the pandemics. We suggest adopting either a last-in-first-out (LIFO) or first-in-first-out (FIFO) backordering policy depending on whether profit or fairness is the primary concern. We have provided a numerical example and conducted a sensitivity analysis to demonstrate the practical application of the proposed model. By optimizing the replenishment, our model enables high-tech industries to maximize total profit, even in the face of declining demand and prices during the pandemics. Overall, our model represents a valuable tool for high-tech industries seeking to better manage production and inventory, and we believe it has the potential to increase product profitability during the declining phase of a product&#039;s life cycle.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">high-tech products</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">dispatching policies</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">decreasing demand and prices</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">backordering policies</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_23559_081fd273021e6dc394b0055fa41a52e9.pdf</ArchiveCopySource>
</Article>
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