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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahrood University of Technology</PublisherName>
				<JournalTitle>Journal of Mining and Environment</JournalTitle>
				<Issn>2251-8592</Issn>
				<Volume>16</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Simultaneous Optimization of Mine Production Rate and Cut-off Grade using Particle Swarm Optimization</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>583</FirstPage>
			<LastPage>598</LastPage>
			<ELocationID EIdType="pii">3308</ELocationID>
			
<ELocationID EIdType="doi">10.22044/jme.2024.13943.2601</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Javad</FirstName>
					<LastName>Lotfi Godarzi</LastName>
<Affiliation>Department of Mining Engineering, Tarbiat Modares University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ahmad Reza</FirstName>
					<LastName>Sayadi</LastName>
<Affiliation>Department of Mining Engineering, Tarbiat Modares University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Amin</FirstName>
					<LastName>Mousavi</LastName>
<Affiliation>Department of Mining Engineering, Tarbiat Modares University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Micah</FirstName>
					<LastName>Nehring</LastName>
<Affiliation>School of Mechanical and Mining Engineering, University of Queensland, Australia</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>12</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>The production rate and cut-off grade are two critical variables in the design and planning of open-pit mines. Generally, the production rate depends on the reserve amount, which is influenced by the cut-off grade. Additionally, the cut-off grade is affected by the production cost, which is influenced by the production rate and product price. A conventional approach optimizes each variable individually, and neglects the trade-off between production rate and cut-off grade, leading to a sub-optimal solution. This work aimed to address the simultaneous optimization of the production rate and cut-off grade and provided a novel solution for this problem. In this context, a non-linear mathematical model was developed. The Particle Swarm Optimization (PSO) algorithm was used due to the model&#039;s non-linear nature and the continuous decision variables. Implementing the model for a typical copper mine showed that the suggested model resulted in a concurrent optimization of production rate and cut-off grade. The maximum NPV of 1.153 billion dollars occurred at a production rate of 15.66 Mt/y, and a cut-off grade of 0.64%. Additionally, a sensitivity analysis was conducted for key factors such as product price, discount rate, and maximum capital cost.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Cut-off Grade</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Production Rate</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Particle swarm optimization (PSO)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Open-Pit Mining</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jme.shahroodut.ac.ir/article_3308_c68f1ab042b222c42a93ab0798f748af.pdf</ArchiveCopySource>
</Article>
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