Revisiting Project Delivery System Performance from 1998 to 2018

AbstractThis paper presents the results of a study to compare the performance of design-bid-build (DBB), construction manager at risk (CMR), and design-build (DB) project delivery systems in the US building construction industry. By leveraging verified data from 212 projects, a best subset analysis...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of construction engineering and management 2020-09, Vol.146 (9)
Hauptverfasser: Franz, Bryan, Molenaar, Keith R, Roberts, Bradley A. M
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 9
container_start_page
container_title Journal of construction engineering and management
container_volume 146
creator Franz, Bryan
Molenaar, Keith R
Roberts, Bradley A. M
description AbstractThis paper presents the results of a study to compare the performance of design-bid-build (DBB), construction manager at risk (CMR), and design-build (DB) project delivery systems in the US building construction industry. By leveraging verified data from 212 projects, a best subset analysis was used to generate regression models that explain the greatest amount of variance in five measures of project performance: unit cost, cost growth, schedule growth, construction speed, and delivery speed. From these regression models, the average of the predicted project performance was calculated for each delivery system when holding all other variables constant. The results show that, on average, projects with a DB delivery system are delivered faster and with lower cost and schedule growth than projects structured as CMR or DBB. In addition, the completed unit cost of DB projects is comparable to DBB and slightly less than CMR projects. These results are generally consistent with findings from seminal articles published in the late 1990s, as well as more recent works that also compared performance across delivery systems. However, the modeling does indicate that, except for delivery speed, the gap in performance between DBB, CMR, and DB has narrowed over time. This research provides an updated benchmark for the performance of the most commonly used project delivery systems, which has value to owners seeking guidance when making strategic decisions in structuring their projects.
doi_str_mv 10.1061/(ASCE)CO.1943-7862.0001896
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2414753927</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2414753927</sourcerecordid><originalsourceid>FETCH-LOGICAL-a436t-dad46ac1cc43f502b11acb49384fa30a53d17cbe2b21548073b1269440fcb8673</originalsourceid><addsrcrecordid>eNp1kE1LAzEQhoMoWKv_IehFD1szSTa78WTZ1g8otFg9h2yayJZuU5Ntof_eXVr15GlgeJ93hgehayADIALub4fzYnxXTAcgOUuyXNABIQRyKU5Q73d3inokYyyRTPBzdBHjss1wIdMeenyzuypWTbX-xLPgl9Y0eGRX1c6GPZ7vY2NrPLPB-VDrtbHYBV9jkDLHjce0vXSJzpxeRXt1nH308TR-L16SyfT5tRhOEs2ZaJKFXnChDRjDmUsJLQG0KblkOXeaEZ2yBWSmtLSkkPK8fbcEKiTnxJkyFxnro5tD7yb4r62NjVr6bVi3JxXlwLOUSdqlHg4pE3yMwTq1CVWtw14BUZ0xpTpjqpiqzo7q7KijsRYWB1hHY__qf8j_wW-o2G1t</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2414753927</pqid></control><display><type>article</type><title>Revisiting Project Delivery System Performance from 1998 to 2018</title><source>American Society of Civil Engineers:NESLI2:Journals:2014</source><creator>Franz, Bryan ; Molenaar, Keith R ; Roberts, Bradley A. M</creator><creatorcontrib>Franz, Bryan ; Molenaar, Keith R ; Roberts, Bradley A. M</creatorcontrib><description>AbstractThis paper presents the results of a study to compare the performance of design-bid-build (DBB), construction manager at risk (CMR), and design-build (DB) project delivery systems in the US building construction industry. By leveraging verified data from 212 projects, a best subset analysis was used to generate regression models that explain the greatest amount of variance in five measures of project performance: unit cost, cost growth, schedule growth, construction speed, and delivery speed. From these regression models, the average of the predicted project performance was calculated for each delivery system when holding all other variables constant. The results show that, on average, projects with a DB delivery system are delivered faster and with lower cost and schedule growth than projects structured as CMR or DBB. In addition, the completed unit cost of DB projects is comparable to DBB and slightly less than CMR projects. These results are generally consistent with findings from seminal articles published in the late 1990s, as well as more recent works that also compared performance across delivery systems. However, the modeling does indicate that, except for delivery speed, the gap in performance between DBB, CMR, and DB has narrowed over time. This research provides an updated benchmark for the performance of the most commonly used project delivery systems, which has value to owners seeking guidance when making strategic decisions in structuring their projects.</description><identifier>ISSN: 0733-9364</identifier><identifier>EISSN: 1943-7862</identifier><identifier>DOI: 10.1061/(ASCE)CO.1943-7862.0001896</identifier><language>eng</language><publisher>New York: American Society of Civil Engineers</publisher><subject>Construction industry ; Construction management ; Regression analysis ; Regression models ; Schedules ; Technical Papers</subject><ispartof>Journal of construction engineering and management, 2020-09, Vol.146 (9)</ispartof><rights>2020 American Society of Civil Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a436t-dad46ac1cc43f502b11acb49384fa30a53d17cbe2b21548073b1269440fcb8673</citedby><cites>FETCH-LOGICAL-a436t-dad46ac1cc43f502b11acb49384fa30a53d17cbe2b21548073b1269440fcb8673</cites><orcidid>0000-0002-2597-240X ; 0000-0003-1961-921X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ascelibrary.org/doi/pdf/10.1061/(ASCE)CO.1943-7862.0001896$$EPDF$$P50$$Gasce$$H</linktopdf><linktohtml>$$Uhttp://ascelibrary.org/doi/abs/10.1061/(ASCE)CO.1943-7862.0001896$$EHTML$$P50$$Gasce$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,75935,75943</link.rule.ids></links><search><creatorcontrib>Franz, Bryan</creatorcontrib><creatorcontrib>Molenaar, Keith R</creatorcontrib><creatorcontrib>Roberts, Bradley A. M</creatorcontrib><title>Revisiting Project Delivery System Performance from 1998 to 2018</title><title>Journal of construction engineering and management</title><description>AbstractThis paper presents the results of a study to compare the performance of design-bid-build (DBB), construction manager at risk (CMR), and design-build (DB) project delivery systems in the US building construction industry. By leveraging verified data from 212 projects, a best subset analysis was used to generate regression models that explain the greatest amount of variance in five measures of project performance: unit cost, cost growth, schedule growth, construction speed, and delivery speed. From these regression models, the average of the predicted project performance was calculated for each delivery system when holding all other variables constant. The results show that, on average, projects with a DB delivery system are delivered faster and with lower cost and schedule growth than projects structured as CMR or DBB. In addition, the completed unit cost of DB projects is comparable to DBB and slightly less than CMR projects. These results are generally consistent with findings from seminal articles published in the late 1990s, as well as more recent works that also compared performance across delivery systems. However, the modeling does indicate that, except for delivery speed, the gap in performance between DBB, CMR, and DB has narrowed over time. This research provides an updated benchmark for the performance of the most commonly used project delivery systems, which has value to owners seeking guidance when making strategic decisions in structuring their projects.</description><subject>Construction industry</subject><subject>Construction management</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Schedules</subject><subject>Technical Papers</subject><issn>0733-9364</issn><issn>1943-7862</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LAzEQhoMoWKv_IehFD1szSTa78WTZ1g8otFg9h2yayJZuU5Ntof_eXVr15GlgeJ93hgehayADIALub4fzYnxXTAcgOUuyXNABIQRyKU5Q73d3inokYyyRTPBzdBHjss1wIdMeenyzuypWTbX-xLPgl9Y0eGRX1c6GPZ7vY2NrPLPB-VDrtbHYBV9jkDLHjce0vXSJzpxeRXt1nH308TR-L16SyfT5tRhOEs2ZaJKFXnChDRjDmUsJLQG0KblkOXeaEZ2yBWSmtLSkkPK8fbcEKiTnxJkyFxnro5tD7yb4r62NjVr6bVi3JxXlwLOUSdqlHg4pE3yMwTq1CVWtw14BUZ0xpTpjqpiqzo7q7KijsRYWB1hHY__qf8j_wW-o2G1t</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Franz, Bryan</creator><creator>Molenaar, Keith R</creator><creator>Roberts, Bradley A. M</creator><general>American Society of Civil Engineers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0002-2597-240X</orcidid><orcidid>https://orcid.org/0000-0003-1961-921X</orcidid></search><sort><creationdate>20200901</creationdate><title>Revisiting Project Delivery System Performance from 1998 to 2018</title><author>Franz, Bryan ; Molenaar, Keith R ; Roberts, Bradley A. M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a436t-dad46ac1cc43f502b11acb49384fa30a53d17cbe2b21548073b1269440fcb8673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Construction industry</topic><topic>Construction management</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Schedules</topic><topic>Technical Papers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Franz, Bryan</creatorcontrib><creatorcontrib>Molenaar, Keith R</creatorcontrib><creatorcontrib>Roberts, Bradley A. M</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of construction engineering and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Franz, Bryan</au><au>Molenaar, Keith R</au><au>Roberts, Bradley A. M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Revisiting Project Delivery System Performance from 1998 to 2018</atitle><jtitle>Journal of construction engineering and management</jtitle><date>2020-09-01</date><risdate>2020</risdate><volume>146</volume><issue>9</issue><issn>0733-9364</issn><eissn>1943-7862</eissn><abstract>AbstractThis paper presents the results of a study to compare the performance of design-bid-build (DBB), construction manager at risk (CMR), and design-build (DB) project delivery systems in the US building construction industry. By leveraging verified data from 212 projects, a best subset analysis was used to generate regression models that explain the greatest amount of variance in five measures of project performance: unit cost, cost growth, schedule growth, construction speed, and delivery speed. From these regression models, the average of the predicted project performance was calculated for each delivery system when holding all other variables constant. The results show that, on average, projects with a DB delivery system are delivered faster and with lower cost and schedule growth than projects structured as CMR or DBB. In addition, the completed unit cost of DB projects is comparable to DBB and slightly less than CMR projects. These results are generally consistent with findings from seminal articles published in the late 1990s, as well as more recent works that also compared performance across delivery systems. However, the modeling does indicate that, except for delivery speed, the gap in performance between DBB, CMR, and DB has narrowed over time. This research provides an updated benchmark for the performance of the most commonly used project delivery systems, which has value to owners seeking guidance when making strategic decisions in structuring their projects.</abstract><cop>New York</cop><pub>American Society of Civil Engineers</pub><doi>10.1061/(ASCE)CO.1943-7862.0001896</doi><orcidid>https://orcid.org/0000-0002-2597-240X</orcidid><orcidid>https://orcid.org/0000-0003-1961-921X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0733-9364
ispartof Journal of construction engineering and management, 2020-09, Vol.146 (9)
issn 0733-9364
1943-7862
language eng
recordid cdi_proquest_journals_2414753927
source American Society of Civil Engineers:NESLI2:Journals:2014
subjects Construction industry
Construction management
Regression analysis
Regression models
Schedules
Technical Papers
title Revisiting Project Delivery System Performance from 1998 to 2018
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T21%3A35%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Revisiting%20Project%20Delivery%20System%20Performance%20from%201998%20to%202018&rft.jtitle=Journal%20of%20construction%20engineering%20and%20management&rft.au=Franz,%20Bryan&rft.date=2020-09-01&rft.volume=146&rft.issue=9&rft.issn=0733-9364&rft.eissn=1943-7862&rft_id=info:doi/10.1061/(ASCE)CO.1943-7862.0001896&rft_dat=%3Cproquest_cross%3E2414753927%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2414753927&rft_id=info:pmid/&rfr_iscdi=true