<?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>1392</year>
	<month>6</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2013</year>
	<month>9</month>
	<day>1</day>
</pubdate>
<volume>24</volume>
<number>3</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>System Dynamics Aproach For Quantitative Risk Allocaion</title>
	<subject_fa>مدل های شبیه سازی و احتمالی</subject_fa>
	<subject>Simulation &amp; Stochastic Models</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>Allocation of construction risks between clients and their contractors has a significant impact on the total construction costs. This paper presents a system dynamics (SD)-based approach for quantitative risk allocation. Using the proposed SD based approach, all the factors affecting the risk allocation process are modeled. The contractor’s defensive strategies against the one-sided risk allocation are simulated using governing feedback loops. The full-impact of different risk allocation strategies may efficiently be modeled, simulated and quantified in terms of time and cost by the proposed object-oriented simulation methodology. The project cost is simulated at different percentages of risk allocation and the optimum percentage of risk allocation is determined as a point in which the project cost is minimized. To evaluate the performance of the proposed method, it has been implemented in a pipe-line project. The optimal risk allocation strategy is determined for the inflation risk as one of the most important identified risks.</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Modeling, risk allocation, simulation, system dynamics</keyword>
	<start_page>237</start_page>
	<end_page>246</end_page>
	<web_url>http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-355-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Mostafa</first_name>
	<middle_name></middle_name>
	<last_name>Khanzadi</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>khanzadi@iust.ac.ir</email>
	<code>180031947532846003194</code>
	<orcid>180031947532846003194</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Assistant Professor</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Farnad</first_name>
	<middle_name></middle_name>
	<last_name>Nasirzadeh</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>f.nasirzadeh@gmail.com</email>
	<code>180031947532846003195</code>
	<orcid>180031947532846003195</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Assistant Professor</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mahdi</first_name>
	<middle_name></middle_name>
	<last_name>Rezaie</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>mahdirezaie@gmail.com</email>
	<code>180031947532846003196</code>
	<orcid>180031947532846003196</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>M.Sc student</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


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