Performance measurement of construction suppliers under localization, agility, and digitalization criteria: Fuzzy Ordinal Priority Approach

Abstract

The suppliers’ performance plays a vital role, with a domino effect, in project success, organizational competitiveness, protecting supply chain and construction industry from disruptions and PESTEL risks (political, economic, social, technological, environmental, and legal). Therefore, measuring the performance of the construction suppliers has become the primary focus of project-oriented organizations and the core of business decision-making, especially during global megatrends. The question that may arise here is, “How can the performance of the construction suppliers be determined under uncertainties considering the post-COVID-19 era?” Organizations need eligible suppliers for the rapid recovery of the supply chain and construction sector at this critical stage. Given the importance of the issue, this study aims to propose a novel approach for measuring the performance of construction suppliers using the fuzzy ordinal priority approach ( OPA-F ). OPA-F is a recent development in multiple criteria decision-making (MCDM) that can determine the criteria weights for performance measurement using fuzzy linguistic variables. We do not always have access to a complete data set in real-world situations and business environments. Nevertheless, OPA-F can handle this dilemma, even with incomplete input data. This research intends to consider three main aspects of the construction suppliers, known as (L-A-D) capabilities , including localization, agility, and digitalization . In this regard, we bring up a case study from the construction industry to demonstrate the application of the proposed framework. The findings show that the most critical criterion is “digitalization” for the case study. This criterion covers “supply chain automation” and “virtualization and dematerialization” of services/products. The proposed approach is practical and straightforward, particularly for academicians and decision-makers; it can also incorporate uncertainties.

A grey ordinal priority approach for healthcare waste disposal location selection

“…Since the last few years, the researchers have endeavoured to explore its capability in solving diverse MCDM problems, like selection of healthcare supplier (Quartey-Papafio et al ., 2021), construction sub-contractor (Mahmoudi and Javed, 2022), project portfolio (Mahmoudi et al ., 2022a), transportation planning strategy (Pamucar et al ., 2022), road maintenance strategy (Bouraima et al ., 2022), distributed ledger technology (Sadeghi et al ., 2022a) and so on. Recently, it has also been successfully combined with TOPSIS for project selection (Mahmoudi et al ., 2021a), and shortlising of automotive parts suppliers (Bah and Tulkinov, 2022); data envelopment analysis (DEA) for supplier performance assessment (Mahmoudi et al ., 2022b); FST for selection of resilient suppliers selection (Mahmoudi et al ., 2022c), blockchain technology selection in construction organizations (Sadeghi et al ., 2022b) and appraising construction suppliers (Mahmoudi et al ., 2022d); neutrosophic fuzzy set for industrial robot selection (Abdel-Basset et al ., 2022); rough set theory for sustainable mining (Deveci et al ., 2022); and grey system theory to evaluate low-carbon sustainable technologies in agriculture (Shajedul, 2021), sustainable supplier selection for construction megaprojects (Mahmoudi et al ., 2021b) and identification of barriers to electric vehicle adoption (Candra, 2022).…”

“…Recently, it has also been successfully combined with TOPSIS for project selection (Mahmoudi et al, 2021a), and shortlising of automotive parts suppliers (Bah and Tulkinov, 2022); data envelopment analysis (DEA) for supplier performance assessment (Mahmoudi et al, 2022b); FST for selection of resilient suppliers selection (Mahmoudi et al, 2022c), blockchain technology selection in construction organizations (Sadeghi et al, 2022b) and appraising construction suppliers (Mahmoudi et al, 2022d); neutrosophic fuzzy set for industrial robot selection (Abdel-Basset et al, 2022); rough set theory for sustainable mining (Deveci et al, 2022); and grey system theory to evaluate low-carbon sustainable technologies in agriculture (Shajedul, 2021), sustainable supplier selection for construction megaprojects (Mahmoudi et al, 2021b) and identification of barriers to electric vehicle adoption (Candra, 2022).…”

Enterprise blockchain solutions for vibrant construction ecosystem: Grey Ordinal Priority Approach

“…OPA-G allows decision-makers to calculate the relative importance of criteria and make smart decisions where uncertainty and complexity are prevalent. Mahmoudi et al. (2022) used the fuzzy version of this cutting-edge method to evaluate suppliers based on localization, agility and digitalization criteria.…”

Analyzing the Success of Adopting Metaverse in Construction Industry: Structural Equation Modelling

“…Tere is a moderate efect or association between monitoring and maintenance and the outcome variable, as shown by the efect size, which is calculated to be 0.469. Te efect sizes provide insight into the kind and extent of the connection between each construct and the outcome variable [63]. It is commonly accepted that an efect size value ranging from 0.4 to 0.6 is considered moderate, indicating that the construct has a considerable infuence on the result.…”