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Predicting the project time and costs using EVM based on gray numbers
Purpose The purpose of this paper is to determine the project completion time and cost under non-deterministic conditions using interval gray numbers (IGNs). Design/methodology/approach The earned value management (EVM) method based on the IGN has been developed. Findings The EVM method based on the...
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Published in: | Engineering, construction, and architectural management construction, and architectural management, 2019-09, Vol.26 (9), p.2107-2119 |
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container_end_page | 2119 |
container_issue | 9 |
container_start_page | 2107 |
container_title | Engineering, construction, and architectural management |
container_volume | 26 |
creator | Nadafi, Samira Moosavirad, Seyed Hamed Ariafar, Shahram |
description | Purpose
The purpose of this paper is to determine the project completion time and cost under non-deterministic conditions using interval gray numbers (IGNs).
Design/methodology/approach
The earned value management (EVM) method based on the IGN has been developed.
Findings
The EVM method based on the IGN has been verified by a numerical example that can be applied to construction projects.
Practical implications
The EVM method, based on the gray numbers, reduces the budget and time shortage risk. Also, using this method, the managers would not be restricted to provide very exact values in their progress reports in the non-deterministic conditions.
Originality/value
One notable and significant point in all projects during the execution process is to estimate the project completion time and cost. However, non-deterministic conditions for both planned and actual physical completion percentage of projects have not been considered for predicting the project completion time and cost in the literature. Therefore, the novelty of this paper is the prediction of project completion time and cost under non-deterministic conditions using IGN. |
doi_str_mv | 10.1108/ECAM-07-2018-0291 |
format | article |
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The purpose of this paper is to determine the project completion time and cost under non-deterministic conditions using interval gray numbers (IGNs).
Design/methodology/approach
The earned value management (EVM) method based on the IGN has been developed.
Findings
The EVM method based on the IGN has been verified by a numerical example that can be applied to construction projects.
Practical implications
The EVM method, based on the gray numbers, reduces the budget and time shortage risk. Also, using this method, the managers would not be restricted to provide very exact values in their progress reports in the non-deterministic conditions.
Originality/value
One notable and significant point in all projects during the execution process is to estimate the project completion time and cost. However, non-deterministic conditions for both planned and actual physical completion percentage of projects have not been considered for predicting the project completion time and cost in the literature. Therefore, the novelty of this paper is the prediction of project completion time and cost under non-deterministic conditions using IGN.</description><identifier>ISSN: 0969-9988</identifier><identifier>EISSN: 1365-232X</identifier><identifier>DOI: 10.1108/ECAM-07-2018-0291</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Completion time ; Costs ; Investigations ; Literature reviews ; Methods ; Monte Carlo simulation ; Planning ; Predictions ; Project management ; Value management</subject><ispartof>Engineering, construction, and architectural management, 2019-09, Vol.26 (9), p.2107-2119</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c314t-54c508c7f14abd4a4502db9ee9d606ff10b35e7a0ec1e5f8a2e266ef3b3f39c43</citedby><cites>FETCH-LOGICAL-c314t-54c508c7f14abd4a4502db9ee9d606ff10b35e7a0ec1e5f8a2e266ef3b3f39c43</cites><orcidid>0000-0001-6359-8044</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2283961299/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2283961299?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,11667,27901,27902,36037,44339,74638</link.rule.ids></links><search><creatorcontrib>Nadafi, Samira</creatorcontrib><creatorcontrib>Moosavirad, Seyed Hamed</creatorcontrib><creatorcontrib>Ariafar, Shahram</creatorcontrib><title>Predicting the project time and costs using EVM based on gray numbers</title><title>Engineering, construction, and architectural management</title><description>Purpose
The purpose of this paper is to determine the project completion time and cost under non-deterministic conditions using interval gray numbers (IGNs).
Design/methodology/approach
The earned value management (EVM) method based on the IGN has been developed.
Findings
The EVM method based on the IGN has been verified by a numerical example that can be applied to construction projects.
Practical implications
The EVM method, based on the gray numbers, reduces the budget and time shortage risk. Also, using this method, the managers would not be restricted to provide very exact values in their progress reports in the non-deterministic conditions.
Originality/value
One notable and significant point in all projects during the execution process is to estimate the project completion time and cost. However, non-deterministic conditions for both planned and actual physical completion percentage of projects have not been considered for predicting the project completion time and cost in the literature. Therefore, the novelty of this paper is the prediction of project completion time and cost under non-deterministic conditions using IGN.</description><subject>Completion time</subject><subject>Costs</subject><subject>Investigations</subject><subject>Literature reviews</subject><subject>Methods</subject><subject>Monte Carlo simulation</subject><subject>Planning</subject><subject>Predictions</subject><subject>Project management</subject><subject>Value management</subject><issn>0969-9988</issn><issn>1365-232X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNptkD1PwzAQQC0EEqXwA9gsMRvOdj7ssaoCRWoFAyA2y3HOJVWTFDsZ-u9JVBYkplveuzs9Qm453HMO6qFYLjYMciaAKwZC8zMy4zJLmZDi85zMQGeaaa3UJbmKcQcjlqRyRorXgFXt-rrd0v4L6SF0O3Q97esGqW0r6rrYRzrECSg-NrS0ESvatXQb7JG2Q1NiiNfkwtt9xJvfOSfvj8XbcsXWL0_Py8WaOcmTnqWJS0G53PPEllVikxREVWpEXWWQec-hlCnmFtBxTL2yAkWWoZel9FK7RM7J3Wnv-Ob3gLE3u24I7XjSCKGkzrjQeqT4iXKhizGgN4dQNzYcDQcz1TJTLQO5mWqZqdbowMnBBoPdV_8qfwLLH2-XaxE</recordid><startdate>20190904</startdate><enddate>20190904</enddate><creator>Nadafi, Samira</creator><creator>Moosavirad, Seyed Hamed</creator><creator>Ariafar, Shahram</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7TA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M2P</scope><scope>M7S</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-6359-8044</orcidid></search><sort><creationdate>20190904</creationdate><title>Predicting the project time and costs using EVM based on gray numbers</title><author>Nadafi, Samira ; Moosavirad, Seyed Hamed ; Ariafar, Shahram</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-54c508c7f14abd4a4502db9ee9d606ff10b35e7a0ec1e5f8a2e266ef3b3f39c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Completion time</topic><topic>Costs</topic><topic>Investigations</topic><topic>Literature reviews</topic><topic>Methods</topic><topic>Monte Carlo simulation</topic><topic>Planning</topic><topic>Predictions</topic><topic>Project management</topic><topic>Value management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nadafi, Samira</creatorcontrib><creatorcontrib>Moosavirad, Seyed Hamed</creatorcontrib><creatorcontrib>Ariafar, Shahram</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Materials Business File</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM global</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><jtitle>Engineering, construction, and architectural management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nadafi, Samira</au><au>Moosavirad, Seyed Hamed</au><au>Ariafar, Shahram</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the project time and costs using EVM based on gray numbers</atitle><jtitle>Engineering, construction, and architectural management</jtitle><date>2019-09-04</date><risdate>2019</risdate><volume>26</volume><issue>9</issue><spage>2107</spage><epage>2119</epage><pages>2107-2119</pages><issn>0969-9988</issn><eissn>1365-232X</eissn><abstract>Purpose
The purpose of this paper is to determine the project completion time and cost under non-deterministic conditions using interval gray numbers (IGNs).
Design/methodology/approach
The earned value management (EVM) method based on the IGN has been developed.
Findings
The EVM method based on the IGN has been verified by a numerical example that can be applied to construction projects.
Practical implications
The EVM method, based on the gray numbers, reduces the budget and time shortage risk. Also, using this method, the managers would not be restricted to provide very exact values in their progress reports in the non-deterministic conditions.
Originality/value
One notable and significant point in all projects during the execution process is to estimate the project completion time and cost. However, non-deterministic conditions for both planned and actual physical completion percentage of projects have not been considered for predicting the project completion time and cost in the literature. Therefore, the novelty of this paper is the prediction of project completion time and cost under non-deterministic conditions using IGN.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/ECAM-07-2018-0291</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-6359-8044</orcidid></addata></record> |
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ispartof | Engineering, construction, and architectural management, 2019-09, Vol.26 (9), p.2107-2119 |
issn | 0969-9988 1365-232X |
language | eng |
recordid | cdi_emerald_primary_10_1108_ECAM-07-2018-0291 |
source | ABI/INFORM global; Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list) |
subjects | Completion time Costs Investigations Literature reviews Methods Monte Carlo simulation Planning Predictions Project management Value management |
title | Predicting the project time and costs using EVM based on gray numbers |
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