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dc.contributor.authorParvan, Kiavash
dc.contributor.authorRahmandad, Hazhir
dc.contributor.authorHaghani, Ali
dc.date.accessioned2017-11-16T16:49:25Z
dc.date.available2017-11-16T16:49:25Z
dc.date.issued2015-07
dc.identifier.issn0272-6963
dc.identifier.urihttp://hdl.handle.net/1721.1/112203
dc.description.abstractUnderstanding diverse performance trajectories of projects is of interest to operations researchers and practitioners. Interactions between multiple phases of a project are commonly assumed to be important in project dynamics, yet the strength of these feedback mechanisms has not been rigorously evaluated. In this study we use data from 15 construction projects to estimate the feedbacks between design and construction phases. The estimated factors reveal that undiscovered design rework diminishes construction quality and production rate significantly and construction completion speeds up the detection of undiscovered design rework. Together, these feedbacks can explain as much as 20% of variability in overall project costs. Comparison of model predictions with a separate set of 15 projects shows good predictive power for cost and schedule outcomes and their uncertainty. The estimation and prediction framework offers a template for using data from multiple cases to estimate both case-specific and industry-wide parameters of project models, and for leveraging those estimates for project planning.en_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/J.JOM.2015.07.005en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleInter-phase feedbacks in construction projectsen_US
dc.typeArticleen_US
dc.identifier.citationParvan, Kiavash et al. “Inter-Phase Feedbacks in Construction Projects.” Journal of Operations Management 39–40 (November 2015): 48–62 © 2015 Elsevieren_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.mitauthorRahmandad, Hazhir
dc.relation.journalJournal of Operations Managementen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2017-10-27T19:18:42Z
dspace.orderedauthorsParvan, Kiavash; Rahmandad, Hazhir; Haghani, Alien_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2784-9042
mit.licensePUBLISHER_CCen_US


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