Technical Papers
Sep 4, 2024

Developing a Scoring Framework to Assess the Feasibility of the Design–Build Project Delivery Method for Bundled Projects

Publication: Journal of Management in Engineering
Volume 40, Issue 6

Abstract

Project bundling has been introduced as an innovative approach that groups several infrastructure projects into a single contract. Project bundling has numerous benefits such as expediting project delivery, capitalizing on economies of scale, and reducing the overall contract cost. However, agencies implementing project bundling also face some challenges, one of which is assessing the feasibility of a certain project delivery method (PDM) of interest. While different PDMs could be used for bundled projects, design-build (DB) has attracted particular interest from project owners as an alternative, innovative PDM due to its numerous benefits related to project performance. While previous research efforts examined different aspects of project bundling in terms of its decision-making factors, opportunities, and challenges, no previous research effort was devoted to studying the feasibility or applicability of the DB delivery method for bundled projects. To that extent, and to fill this gap, this paper develops a scoring framework that assesses the feasibility of the DB delivery for bundled projects. First, a questionnaire survey was distributed to industry experts to quantify the importance of 25 project bundling objectives. Second, principal component analysis (PCA) was implemented to calculate a weight for each project bundling objective. Third, a score for each project bundling objective was calculated and the DB feasibility tiers were identified using a series of statistical tests. Finally, a user-friendly feasibility scoring framework was developed to assign a feasibility score for the DB delivery method based on the user’s inputs related to the bundled project of interest. The results showed that the key project bundling objectives that mostly increase the feasibility score of the DB delivery method for bundled projects are (1) Having specific scheduling, sequencing, staging, and phasing; (2) Meeting tight milestones or deadlines (timely completion of individual phases); and (3) Completing the overall project on schedule. Ultimately, this research adds to the body of knowledge by equipping agencies and project owners with a decision-support system that helps them make the go/no-go decision for the DB delivery method for their bundled projects. By making the right PDM decision, project owners can enhance their bundling practices (especially in relation to the PDM selection), reduce the associated risks and challenges, improve the overall schedule of the bundled program, and keep the cost within the identified budgets.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This manuscript is based upon work supported by the US Department of Transportation, Office of the Assistant Secretary for Research and Technology (OST-R) under Grant No. 69A3551847102 through the Centre for Advanced Infrastructure and Transportation (CAIT) Region 2 UTC Consortium Led by Rutgers, The State University of New Jersey (Project No. CAIT-UTC-REG68). Any opinions, findings, and conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the funding agency(ies).

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Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 40Issue 6November 2024

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Received: Jan 7, 2024
Accepted: Apr 30, 2024
Published online: Sep 4, 2024
Published in print: Nov 1, 2024
Discussion open until: Feb 4, 2025

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Ghiwa Assaf, Ph.D., S.M.ASCE [email protected]
Jr. Project Manager, Gedeon GRC Consulting, Newark, NJ 07102; formerly, Ph.D. Candidate, John A. Reif, Jr. Dept. of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102. Email: [email protected]
Assistant Professor of Construction and Civil Infrastructure and Founding Director of the Smart Construction and Intelligent Infrastructure Systems Lab, John A. Reif, Jr. Dept. of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102 (corresponding author). ORCID: https://orcid.org/0000-0003-4626-5656. Email: [email protected]; [email protected]

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