<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>international journal of industrial Engineering &amp; Production Research</title>
<title_fa>نشریه بین المللی مهندسی صنایع و تحقیقات تولید</title_fa>
<short_title>IJIEPR</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijiepr.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>2008-4889</journal_id_issn>
<journal_id_issn_online>2345-363X</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_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>1404</year>
	<month>7</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2025</year>
	<month>10</month>
	<day>1</day>
</pubdate>
<volume>0</volume>
<number>IN PRESS </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>Integrated Model for Pickup, Production, and Batch Delivery for a Single Item with Multiple Due Dates to Minimize Total Relevant Cost</title>
	<subject_fa>Production Planning &amp; Control</subject_fa>
	<subject>Production Planning &amp; Control</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;div style=&quot;text-align: justify;&quot;&gt;&lt;span style=&quot;font-size:10pt&quot;&gt;&lt;span style=&quot;text-justify:inter-ideograph&quot;&gt;&lt;span style=&quot;font-family:DengXian&quot;&gt;&lt;i&gt;&lt;span lang=&quot;ZH-CN&quot; style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt;This study integrates pickup, production, and batch delivery activities within a make-to-order production system. It distinguishes between holding costs for &lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt;&lt;span style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt;parts&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt;&lt;span lang=&quot;ZH-CN&quot; style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt;, work-in-process, and finished goods&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt; &lt;/i&gt;&lt;i&gt;&lt;span lang=&quot;ZH-CN&quot; style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt;borne by either the manufacturer or the customer&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt; &lt;/i&gt;&lt;i&gt;&lt;span lang=&quot;ZH-CN&quot; style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt;to meet the demands of a single customer with varying due dates. The problem is formulated as a Mixed-Integer Nonlinear Programming model that simultaneously determines the number of batches, batch sizes, and schedules for all three activities; a backward scheduling approach is employed to minimize total relevant costs based on the Actual Flow Time (AFT) metric. Decisions regarding batch quantity, size, and production scheduling both influence and are influenced by decisions concerning delivery and pickup activities. Due to the complexity&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt;&lt;span style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt; of the model&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt;&lt;span lang=&quot;ZH-CN&quot; style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt; and the inclusion of continuous, binary, and integer decision variables, an analytical solution is not feasible; consequently, an exact method using the Gurobi solver was applied. With a computation time limit of 10.800 seconds, Gurobi failed to find an optimal solution, identifying only the best feasible solution for the five tested datasets; therefore, a Genetic Algorithm&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt;&lt;span style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt; (GA)&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt;&lt;span lang=&quot;ZH-CN&quot; style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt; was developed. The proposed &lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt;&lt;span style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt;GA&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;i&gt;&lt;span lang=&quot;ZH-CN&quot; style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt; is capable of solving the problem and generating solutions that approximate the best feasible solutions found by the exact method, while requiring significantly less computation time.&lt;/span&gt;&lt;/span&gt;&lt;/i&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;br&gt;
&amp;nbsp;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Pickup,Production,Delivery,Actual Flow Time,Backward Scheduling</keyword>
	<start_page>0</start_page>
	<end_page>0</end_page>
	<web_url>http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-3740-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Murni Dwi</first_name>
	<middle_name></middle_name>
	<last_name>Astuti</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>33423001@mahasiswa.itb.ac.id</email>
	<code>1800319475328460015622</code>
	<orcid>1800319475328460015622</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Faculty of Industrial Technology, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 40132, Indonesia</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Sukoyo</first_name>
	<middle_name></middle_name>
	<last_name>Sukoyo</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>sukoyo@itb.ac.id</email>
	<code>1800319475328460015623</code>
	<orcid>1800319475328460015623</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Faculty of Industrial Technology, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 40132, Indonesia</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Andi</first_name>
	<middle_name></middle_name>
	<last_name>Cakravastia</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>andi@itb.ac.id</email>
	<code>1800319475328460015624</code>
	<orcid>1800319475328460015624</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Faculty of Industrial Technology, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 40132, Indonesia</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Abdul Hakim</first_name>
	<middle_name></middle_name>
	<last_name>Halim</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>ahakimhalim@itb.ac.id</email>
	<code>1800319475328460015625</code>
	<orcid>1800319475328460015625</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Faculty of Industrial Technology, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 40132, Indonesia</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


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