https://doi.org/10.24928/2023/0107

A Fuzzy Framework for Contractor Selection on IPD Projects

Zeina Malaeb¹, Mohamed ElMenshawy², Anas Badreddine³, Omar Azakir⁴ & Farook Hamzeh⁵

¹Ph.D. Candidate, Civil and Environmental Engineering Department, University of Alberta, Edmonton, Canada, [email protected]
²Ph.D. Candidate, Civil and Environmental Engineering Department, University of Alberta, Edmonton, Canada, [email protected]
³MSc. Student, Civil and Environmental Engineering Department, University of Alberta, Edmonton, Canada, [email protected]
⁴MSc. Student, Civil and Environmental Engineering Department, University of Alberta, Edmonton, Canada, [email protected]
⁵Associate Professor, Civil and Environmental Engineering Department, University of Alberta, Edmonton, Canada, [email protected]

Abstract

The construction industry is characterized by complexity, budget and schedule overruns, quality and safety problems, and increased claims and disputes. To successfully manage the inherent complexity of construction projects, optimal contractor selection is integral for project success. Choosing the best-fit contractor is especially important in Integrated Project Delivery (IPD), since this procurement route relies heavily on the efficient collaboration of project stakeholders and necessitates trust to guarantee successful outcomes. However, the numerous methods and tools for contractor selection in the literature target traditional delivery routes and are unsuitable for IPD, considering the latter’s distinct features and stakeholder roles. As such, owners transitioning to IPD do not fully understand the requirements for optimal contractor selection, which jeopardizes the success of IPD projects. To address this need, this paper conducts a comprehensive literature review and investigates twelve unique IPD case studies to identify contractor selection criteria important to IPD. The paper presents a decision-making framework for contractor selection in IPD projects, using the Fuzzy Inference System (FIS), that provides an indication of the best-fit contractor for the IPD project. This research fills a significant gap in the literature by providing a tool to assist IPD practitioners to select the right contractor

Keywords

Contractor selection, fuzzy inference system (FIS), integrated project delivery (IPD), qualification-based selection, multi-criteria decision-making (MCDM) tool

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Reference

Malaeb, Z. , ElMenshawy, M. , Badreddine, A. , Azakir, O. & Hamzeh, F. 2023. A Fuzzy Framework for Contractor Selection on IPD Projects, Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) , 276-284. doi.org/10.24928/2023/0107

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