<?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>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>13</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Balancing efficiency and shortage costs: optimal production and inventory control in a distribution network</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>327</FirstPage>
			<LastPage>339</LastPage>
			<ELocationID EIdType="pii">8288</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jmm.2024.28014.2464</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Saffari</LastName>
<Affiliation>Department of Industrial Engineering, Tafresh University, Tafresh 39518-79611, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Ali</FirstName>
					<LastName>Mehrpouya</LastName>
<Affiliation>Department of Mathematics, Tafresh University, Tafresh 39518-79611, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>This article explores the integration of control theory techniques into production and inventory management systems within distribution networks. We examine a distribution network model where each node encompasses production and inventory segments, aiming to enhance overall benefit by adjusting key decision variables like production rate and total release. The proposed model formulates an optimal control problem which emphasizes the nonlinear nature of shortage costs and their impact on decision-making, especially concerning high-cost escalations due to shortages. The study proposes numerical solutions using the Legendre pseudospectral method, demonstrating its effectiveness in solving complex optimal control problems with multiple variables.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Inventory</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Network production control</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Nonlinear demand</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Pseudospectral method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Direct optimization method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmm.guilan.ac.ir/article_8288_5fcb891a9a2a0c2ac9c184769c24afeb.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
