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<doi>/ISEC.res.2017.202</doi>
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<article-title>OPTIMIZING GREEN-BUILDING PROJECT<br/>
DELIVERY: COMPARATIVE ANALYSIS OF<br/>
DESIGN-BID-BUILD AND DESIGN-BUILD<br/>
DELIVERY METHODS USING CASE STUDIES
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<author>ALESSANDRO ORSI<sup>1</sup>
, EUGENIO PELLICER<sup>2</sup>
, and IGNACIO GUILLEN GUILLAMON<sup>1</sup></author>

<aff><sup>1</sup>School of Architecture, Universitat Polit&#232;cnica de Val&#232;ncia, Valencia, Spain<br/>
<sup>2</sup>School of Civil Engineering, Universitat Polit&#232;cnica de Val&#232;ncia, Valencia, Spain</aff>

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<title>ABSTRACT</title>
<p>The development of a green-building project following a specific reference standard,
such as LEED or BREEAM, brings new conditions and restrains for all subjects
involved in the process. Within this scope, project management plays a key role for the
optimization of the design-project development. This research develops a comparative
analysis between the design processes of two case-study projects from the project
management perspective, taking into consideration all the activities that negatively
affected the project design development. The first project design was developed
following the so-called "design-bid-build" process with the fragmentation of the
process where each subject and technician involved worked independently from the
others. The second project design was developed following a "turn-key" philosophy
using a completely integrated process. A new methodology was created in order to
analyze the project and evaluate the effects of detected project-management issues
under three different points of view: costs, time and building sustainability. Such
issues were identified by researchers on the basis of the Lean-definition of "waste".
The results showed that process integration affects considerably the cost, schedule and
sustainability level of the project design and vice versa, the accuracy of the project
management tasks affect the sustainability features of the final building design.</p>
<p><italic>Keywords: </italic>Project management, Lean, Sustainability, Project optimization.</p>
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