Pythagorean Fuzzy AHP Based Dynamic Subcontractor Management Framework

Abstract

In construction projects, a significant part of construction work is done by subcontractors (SCs). Therefore, their management by main contractors (MCs) becomes an important issue as the density of SCs is created at the construction sites. In recent years, more focus on SC evaluation and selection in bidding process has been on the agenda whereas the subject of SC performance appraisal on-site during the project execution phase has been untended in the literature. Thus, this study aims to focus on the measurement and evaluation of the performance of SCs in the project execution phase, and to provide a tentative performance-based dynamic management framework that MCs will use in the management of SCs in order to take proactive measures. In line with the aim, a total number of 23 performance measurement criteria (PMC) under 7 main groups were determined as a result of a comprehensive literature review and expert evaluations. Knowing that not every criterion will have the same effect in performance measurement, pairwise comparisons of the criteria were made using the Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) method and their importance weights were determined. The PFAHP method was obtained by integrating the Pythagorean fuzzy set into the AHP method and chosen with the aim of improving the fuzzy AHP method and obtaining more consistent results by eliminating the uncertainty since Pythagorean fuzzy sets is more capable than fuzzy sets at expressing and handling uncertainty in uncertain environments. Lastly, a framework for SC performance measurement and evaluation on project execution phase is presented. It is believed that the presented framework will allow for a proactive management style that will enable effective decisions to be made while the project is ongoing, and a dynamic way of working instead of static and conventional work.

Hybrid Approach for the Financial Assessment of Companies using Fuzzy Multi-Criteria Decision-Making and Self-Organizing Maps

“…Among Multi-Criteria Decision Making (MCDM), FAHP is ranked the second most used methodology, following AHP (Kubler et al, 2016). As a result, multiple studies are performed using AHP and FAHP extensions (Abusaeed et al, 2023;Başaran et al, 2023;Çolakoğlu & Şahiṅ, 2022;Demircan & Yetilmezsoy, 2023;Singh & Garg, 2017). They are widely used in different areas such as determination ERP priorities, prioritization of cost factors in agile software development (Abusaeed et al, 2023;Çolakoğlu & Şahiṅ, 2022).…”

A Hybrid TOPSIS-Structure Entropy Weight Group Subcontractor Selection Model for Large Construction Companies

“…The literature review suggests that because of the importance of selecting quality subcontractors, previous research was conducted to aid general contractors in their subcontractors' selection process. Several studies developed multiple-criteria decision-making MCDM models that also included a weighted score to help evaluate additional criteria other than using price alone [1,2,4].…”

“…They stated that their model reduced the risk involved in the selection phase and eliminated unqualified contractors during the bidding process. Mbachu [1] developed a conceptual framework for the assessment of construction subcontractors' eligibility and performance. He first investigated the criteria used to assess subcontractors' eligibility for bid invitation and award and then investigated the criteria used to assess the subcontractor's performance during the construction phase.…”

“…Construction subcontractors help general contractors overcome problems related to the need for special expertise, shortage in resources, and limitation in finances. At present, construction subcontractors handle about 85% of all construction projects in the building industry and this trend is expected to continue in the future [1,2]. The success of construction projects is highly susceptible to the performance of the subcontractors.…”

Fundamental Prerequisites of Operational Readiness, Activation, and Transition: Case Study of Istanbul Grand Airport

“…The Pythagorean fuzzy analytic hierarchy process (PFAHP) was developed with the aim of improving fuzzy AHP for obtaining more consistent results. The PFAHP is one of the favored methods evaluations in multi-criteria decision-making methods: (1) it considers vagueness and impreciseness of subjective evaluations, (2) experts can make clearer decisions over a wider area and express their assessment of the problem being addressed, and (3) the Pythagorean fuzzy set theory can handle not only incomplete information, but also vague information and inconsistent information commonly found in real situations [43,44]. The PFAHP method was employed in this study according to its advantages on giving opportunities to experts to express their thoughts by considering their thoughts' vagueness and impreciseness, which will result in obtaining more reliable and accurate data with less uncertainty, and the common use in the project management literature [41,[45][46][47][48].…”