Development of a pre-qualification and selection framework for construction projects’ contractors in Saudi Arabia

Alshamrani, Othman Subhi; Saleem, Muhammad; AlYousif, Ibrahim Khalil; Alluqmani, Ayed Eid

doi:10.1080/13467581.2022.2087657

Cited by 11 publications

(25 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Project value, financial capability, reputation, management structure, technical capability and performance, organisational culture, safety, and environmental health were defined as the primary categories of the selection criteria. Quality assurance and control were shown to be the most crucial factors, while current or past joint ventures were the least significant [42].…”

Section: Factors Affecting Contractor Selectionmentioning

confidence: 99%

“…The same issue was found in the Arabic study region, where almost 60% of construction projects in the Kingdom of Saudi Arabia were delayed in the last ten years. As a result, an extensive literature review, market analysis, and information gathering were conducted in collaboration with industryacademia specialists who developed a forty-criteria-based selection framework with their proportional weight developed in comparison to values produced using smart techniques and validated by using the Multi-Attribute Utility Theory score (MAUT) [42].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Decision Support Model for Contractor Selection

Mergawy¹,

Hosny²,

Abdelazeem³

2023

TOCIEJ

View full text Add to dashboard Cite

Introduction: The construction and infrastructure industries in Egypt have recently experienced huge growth, which of course requires methodical planning, full feasibility studies, and wise selections of project executors' teams, including engineering design offices, management agencies, and contracting firms. Consequently, to guarantee achieving the predetermined project designs and objectives, a careful assessment of the incorporating contractor company must be taken. Problem statement: Improper contractor selection led to several problems throughout the project delivery phase, including inadequate quality and delays in the expected project time, which resulted in cost overruns. Rather, it could also sometimes result in suspending the project and failing to complete it. Moreover, in most public and governmental projects, in accordance with law (182/2018), the responsible employee is forced to choose the lowest-priced bid regardless of any other considerations, only passing the project's minimum technical score defined by the appropriate authority, and this is illogical and must be reconsidered. Methodology: In order to find a solution to these problems, the following steps were taken to complete this paper: (1) Forty-eight factors affecting contractor selection were identified through surveying; (2) the seven most important factors were selected based on the fuzzy Delphi technique (FDT); and (3) competitive contractors were prioritised at the pre-bidding stage for the construction project by utilising the analytic hierarchy process (AHP) combined with the analytic network process (ANP). Results: Seven of the forty-eight factors were selected using the fuzzy Delphi technique, and to calculate their relative weights, AHP and ANP were combined to obtainA the most important variables affecting contractor selection. Next, a model user interface for picking contractors was developed to make it easier for project owners and managersA to apply. To fully understand how the model functions, a realistic case study involving four bidders competing for the contract is included. Conclusion: Since government agencies oblige decision-makers to select the lowest-priced bidder. This model can be used during the tendering process's prequalification stage to ensure that all potential contractors are qualified while including the most influential criteria from the Egyptian construction market's perspective.

show abstract

Section: Factors Affecting Contractor Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Decision Support Model for Contractor Selection

Mergawy¹,

Hosny²,

Abdelazeem³

2023

TOCIEJ

View full text Add to dashboard Cite

show abstract

“…Furthermore, there are a growing number of contractors who are actively competing for individual projects in practical situations. This often requires a rigorous screening of individual contractors in the contractor evaluation and selection process [5]. To ensure that the most appropriate contractor is selected for a specific project, structured approaches capable of comprehensively considering all the critical factors as described above are required in the contractor evaluation and selection process.…”

Section: Introductionmentioning

confidence: 99%

“…The contractor evaluation and selection process is complex and challenging. On the one hand, the process of contractor evaluation and selection is uncertain, imprecise, and often multi-dimensional [5]. Three stages are often involved including preparation, bidding, and tendering.…”

Section: Introductionmentioning

confidence: 99%

“…Decisions must be made in each and every stage with a significant amount Mathematics 2024, 12, 1519 2 of 18 of uncertainty and imprecision [6]. On the other hand, the attitude of the decision maker toward risk, which is always present, often plays a major role in the contractor evaluation and selection process [5]. Such attitudes, which are different in various situations, are usually influenced by specific factors such as personal experience, educational background, economic environment, and risk preference [7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A DEA Game Cross-Efficiency Model with Loss Aversion for Contractor Selection

Huang,

Zhou,

Deng

2024

Mathematics

View full text Add to dashboard Cite

Evaluating and selecting appropriate contractors is critical to the success of specific construction projects in the building industry. Existing approaches for addressing this problem are unsatisfactory due to the ignorance of the multi-dimensional nature of the evaluation process and inappropriate consideration of existent risks. This study presents a DEA game cross-efficiency model with loss aversion for evaluating and selecting specific contractors. The competitiveness of the evaluation process is modeled using game theory with respect to the adoption of the cross-efficiency model. The attitude of the decision maker toward risks is tackled with the use of loss aversion, which is a phenomenon formalized in prospect theory. As a result, the proposed approach can adequately screen available contractors through prequalification and adequately consider the attitude of the decision maker toward risks, leading to effective decisions being made. An example is presented to demonstrate the applicability of the proposed model in evaluating and selecting appropriate contractors for specific construction projects. The results show that the proposed model is effective and efficient in producing a unique solution for contractor selection through appropriate modeling of the multi-dimensional contractor selection process and adequate consideration of the competition between the contractors and the attitude of the decision maker toward risks in practical situations.

show abstract