Modeling a Multi-Criteria Decision Support System for Prequalification Assessment of Construction Contractors using CRITIC and EDAS Models

Abstract

Contractor prequalification assessment in the construction industry is an essential part of the project development process because contractors play a pivotal role in the extension of projects and resources. The main objective of the present study is comprised prequalification assessment for classifying contractors by applied the EDAS method for recognizing the contractors' potential before competitive tendering and obtaining bids. First, an inclusive, detailed list of 56 sub-factors under 5 main factors for project prequalification was compiled following a thorough literature review, and review of contractors by experts of Bandar Imam Khomeini municipality who already have done projects with contractors. Second, used the CRITIC method for obtained the weighing and importance of each factor. Third, classified the contractors by applied the EDAS system for recognizing the contractors' potential before competitive tendering and obtaining bids. Finally, the prequalification assessment process was developed to obtaining the rank of each contractor and help the stakeholders to select the right contractors. The effectiveness of the present approach was tested by applying it to a case study of the prequalification assessment of four construction companies' in Bandar Imam Khomeini municipality, Khuzestan, Iran. It is worth mentioning that the prequalification assessment by the proposed approach is approved by the project stakeholders and is consistent with their expectations. It can be concluded that based on relevant ranking and weighing of companies that procedure can be extended to the same studies in this regard, and the contribution of the present study is to propose a support system for prequalification and identification of contractors' ability, before assigning projects to companies for success in projects.

Developing Winning Tender Recommendation System: Fuzzy Moora Approach

“…Therefore, these above become a main concern in determining the qualification of construction tender. Naik et al, [30] strength this by explaining that the identification of contractors' ability, before assigning projects to companies provide the successful projects. Moreover, the tender documents,…”

“…Is the completeness and fulfillment of tender documents, including business entities, integrity pact statements, and valid taxpayer information status [28][29][30] Qualification Is the fulfillment of the provider's qualification requirements, including a construction service business license, a business entity certificate (SBU), never being the blacklisted participant, at least 1 construction working experience for the latest 4 years, the Remaining Capability Package (SKP) range from 5 to P (Working Package) [28][29][30] Technical Experience Is the participant's experience scaling level as a provider, such as less than <2 years, 2-4 years, and more than >4 years [28][29][30] Price Is the amount of the offering price that is defined on a scale of less than <120,000,000, 120,000,000-130,000,000, and more than >130,000,000 [28][29][30] Number of Projects (per year)…”

A Multi-Criteria Based Stock Selection Framework in Emerging Market

“…In the Turkish market, Demirdağ et al (2021) applied EDAS based methodology for comparing innovative practices of the hotels and subsequently finding out the success factors. For a competitive bidding purpose Naik et al (2021) applied EDAS method in assessing prior qualifications of the contractors in the construction industry. Jiang et al (2022) utilized EDAS method in conjunction with the CPT for selection of appropriate site for construction of shopping mall.…”

A New Joint Strategy for Multi-Criteria Decision-Making: A Case Study for Prioritizing Solid-State Drive

“…Comparative analysis was performed by different MCDM approaches to authenticate the results attained by the MARCOS method. It include ARAS [44], MABAC [30], SAW [21], WASPAS [21], TOPSIS [5], [36], CoCoSo [43], and EDAS [28]. As a result, SSD ranks computed by the different MCDMs are offered in Table 3.…”