<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>International Journal of Civil Engineering</title>
<title_fa>مجله بین المللی مهندسی عمران</title_fa>
<short_title>IJCE</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijce.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>1735-0522</journal_id_issn>
<journal_id_issn_online>2283-3874</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>1388</year>
	<month>9</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2009</year>
	<month>12</month>
	<day>1</day>
</pubdate>
<volume>7</volume>
<number>4</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>The Effects of Variability of the Mathematical Equations and Project Categorizations on Forecasting S-Curves at Construction Industry </title>
	<subject_fa></subject_fa>
	<subject></subject>
	<content_type_fa>Research Paper</content_type_fa>
	<content_type>Research Paper</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;i&gt;&lt;font size=&quot;1&quot; face=&quot;TimesNewRomanPS-ItalicMT&quot;&gt;&lt;font size=&quot;1&quot; face=&quot;TimesNewRomanPS-ItalicMT&quot;&gt;&lt;p align=&quot;left&quot;&gt;Cash flow forecasting is an indispensable tool for construction companies, and is essential for the survival&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;of any contractor at all stages of the work. The time available for a detailed pre-tender cash flow forecast is often&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;limited. Therefore, contractors require simpler and quicker techniques which would enable them to forecast cash flow&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;with reasonable accuracy. Forecasting S-curves in construction in developing countries like Iran in compare with&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;developed countries has many difficulties. It is because of uncertainty and unknown situation in nature of construction&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;industry of these countries. Based on knowledge of authors there is a little attempt for cash flow forecasting in&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;construction industry of Iran. As a result authors produced An S-curve equation for construction project from historical&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;data which has reasonable accuracy. A sample of 20 completed projects was collected and classified in to the three&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;different groups. In order to model S-curves for each group, a simple and reliable method of S curve fitting has been&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;used. S-curves were fitted into each group by using different techniques. Errors incurred when fitting these curves were&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;measured and compared with those associates in fitting individual projects. At the end, accuracy of each model has&lt;/p&gt;&lt;p align=&quot;left&quot;&gt;been calculated and an equation has been proposed to forecast S-curves.&lt;/p&gt;&lt;/font&gt;&lt;/font&gt;&lt;/i&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>S-curves, Cash flow, Financial forecasting, Project management, Construction industry, Developing countries </keyword>
	<start_page>258</start_page>
	<end_page>270</end_page>
	<web_url>http://ijce.iust.ac.ir/browse.php?a_code=A-10-155-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>M. T. </first_name>
	<middle_name></middle_name>
	<last_name>Banki</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>180031947532846006103</code>
	<orcid>180031947532846006103</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>B.</first_name>
	<middle_name></middle_name>
	<last_name>Esmaeili</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>180031947532846006104</code>
	<orcid>180031947532846006104</orcid>
	<coreauthor>No</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


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