<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>International Journal of Optimization in Civil Engineering</title>
<title_fa>عنوان نشریه</title_fa>
<short_title>IJOCE</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijoce.iust.ac.ir</web_url>
<journal_hbi_system_id>18</journal_hbi_system_id>
<journal_hbi_system_user>agent2</journal_hbi_system_user>
<journal_id_issn>2228-7558</journal_id_issn>
<journal_id_issn_online>3060-8236</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>doi</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1391</year>
	<month>3</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2012</year>
	<month>6</month>
	<day>1</day>
</pubdate>
<volume>2</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>A POLYNOMIAL TIME BRANCH AND BOUND ALGORITHM FOR THE SINGLE ITEM ECONOMIC LOT SIZING PROBLEM WITH ALL UNITS DISCOUNT AND RESALE </title>
	<subject_fa>Optimal design</subject_fa>
	<subject>Optimal design</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;font size=&quot;2&quot;&gt;The purpose of this paper is to present a polynomial time algorithm which determines the lot sizes for purchase component in Material Requirement Planning (MRP) environments with deterministic time-phased demand with zero lead time. In this model, backlog is not permitted, the unit purchasing price is based on the all-units discount system and resale of the excess units is possible at the ordering time. The properties of an optimal order policy are argued and on the basis of them, a branch and bound algorithm is presented to construct an optimal sequence of order policies. In the proposed B&amp;B algorithm, some useful fathoming rules have been proven to make the algorithm very efficient. By defining a rooted tree graph, it has been shown that the worst-case time complexity function of the presented algorithm is polynomial. Finally, some test problems which are randomly generated in various environments are solved to show the efficiency of the algorithm. &lt;/font&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>branch and bound; purchasing; all-units discount; resale; complexity theory; graph theory</keyword>
	<start_page>183</start_page>
	<end_page>202</end_page>
	<web_url>http://ijoce.iust.ac.ir/browse.php?a_code=A-10-1-61&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>S.H. </first_name>
	<middle_name></middle_name>
	<last_name>Mirmohammadi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>18003194753284600298</code>
	<orcid>18003194753284600298</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Sh. </first_name>
	<middle_name></middle_name>
	<last_name>Shadrokh</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>18003194753284600299</code>
	<orcid>18003194753284600299</orcid>
	<coreauthor>No</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name> K. </first_name>
	<middle_name></middle_name>
	<last_name>Eshghi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>18003194753284600300</code>
	<orcid>18003194753284600300</orcid>
	<coreauthor>No</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
