Pretendering Decision Model for Contractor Selection of Public Procurement Projects

Yu, Wen-der; Chang, Hsien-Kuan; Hsu, Yuan-Yu; Cheng, Shao-Tsai; Wang, Kwo-Wuu

doi:10.1061/(asce)co.1943-7862.0001923

Cited by 12 publications

(4 citation statements)

References 11 publications

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“…Y. Wen-Der et al [26] report a pre-tendering contractor selection analysis model based on historical procurement data. Y.N.…”

Section: Discussion Of Previous Studies and Contributions Of This Stu...mentioning

confidence: 99%

Validity and reliability testing of the questionnaire used to finalize criteria for the evaluation of the contractor’s performance

2023

Archives of Civil Engineering

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The paper aims to determine the criteria and sub-criteria for evaluating the contractor's performance and finalize a master list of the criteria and sub-criteria to be used for evaluating contractor's performance with their respective weights. The method is incorporated in the framework proposed for the evaluation of the contractor's performance during the execution phase. An exploratory study has been opted, using a structured, close-ended multiple-choice questionnaire survey approach. The questionnaire survey was conducted in two phases, i.e. validation survey, and reliability survey. Fifteen experts responded to the validation survey, and thirty experts to the reliability survey. The experts were from Government and public sectors in India, working at various senior levels. The weights of criteria and sub-criteria were calculated from data collected in the survey, relative importance was calculated through the relative importance index and criteria were ranked. The paper provides criteria and subcriteria which were finalized through a questionnaire survey by classification of criteria identified in literature and tender review. The respective weights were finalized, which can be measured while evaluating contractors' performance. The weights assigned to criteria through the survey are; health and safety is 13.19%, followed by finance 11.93%, time 11.93%, quality 13.38%, client satisfaction 12.42%, environmental safety 12.32%, productivity 12.51% and regulation 12.32%. The paper provides the criteria and sub-criteria with their weights needed for evaluating the performance of contractors during the project execution phase. This research can lead to a culture of continuous measurement of performance for the satisfactory completion of projects.

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“…Y. Wen-Der et al [26] report a pre-tendering contractor selection analysis model based on historical procurement data. Y.N.…”

Section: Discussion Of Previous Studies and Contributions Of This Stu...mentioning

confidence: 99%

Validity and reliability testing of the questionnaire used to finalize criteria for the evaluation of the contractor’s performance

2023

Archives of Civil Engineering

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“…Lew et al [25] developed a structural equation model that evaluates the data obtained from 162 general contractor companies. Yu et al [26] developed a model called PreCSAM for contractor selection. This model offers a three-stage evaluation with criteria such as the lowest offer and the best value.…”

Section: Literature Researchmentioning

confidence: 99%

Effect of Sub-Contractor Selection on Construction Project Success in Turkey

Karaman

SANDAL

2022

Teknik Dergi

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The construction industry leads the national economy in developing countries. It involves industrial requirements, such as developing technologies, related expertise, demand variability, high production speed and progress. Firms in the industry use subcontractors to produce fast, effective solutions. Therefore, projects' success varies depending on subcontractors' rather than general contractors' performance. This study aimed to develop a model of selection criteria for subcontractors and measure their impact on project success. Construction firms using subcontractors were chosen as the target group. Doloi et al.'s [1] model, which measures the impact of contractor selection on project success, was developed (by adding safety performance) and used to measure subcontractors' impact on project success. Data on the selection of subcontractors from 93 construction firms that employ subcontractors in their projects were collected through a survey. The impact of the subcontracting selection factor on projects' overall performance was presented with five hypotheses and modeled using a structural equation model. The weight of each selection factor in the subcontracting selection and the impact on the overall project were designated in the model by determining the standardized regression weights (β). Four hypotheses were accepted and one rejected. This study may contribute to the prequalification conditions in the process of selecting subcontractors in the future.

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“…The construction industry is characterized by complex environments, adversity, intense competition, heavy construction tasks, and the high number of fixed assets required. Given these factors, it has become increasingly challenging to select reputable construction contractors who are capable of providing quality, streamlining the construction process, and reducing project costs [1][2][3][4]. Generally, tending and bidding remain the most common methods for hiring qualified contractors.…”

Section: Introductionmentioning

confidence: 99%

Bidding Evaluation and Contractor Selection Using Balance Index Model and Comprehensive Input Efficiency Based on Data Envelopment Analysis

Liu

Chen

Ding

et al. 2023

Systems

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In order to ensure a smooth construction project, it is necessary to select an appropriate contractor. However, traditional bid evaluation methods are highly subjective in determining weights. Data envelopment analysis (DEA), a comprehensive bid evaluation method that considers multiple factors, was introduced to reduce subjectivity and provide a simple yet comprehensive method for evaluating bids. Based on the existing cross-evaluation and balance index models, this research proposed a new DEA ranking model—the comprehensive input efficiency model, as well as its specific application steps. Additionally, a case study on selecting contractors for a water engineering project was presented to demonstrate the effectiveness of this model. The results indicated that the comprehensive input efficiency model could achieve the same ranking function as the balance index and was suitable for assessing bidders’ relative efficiency. Moreover, the comprehensive input efficiency model proposed in this research is more simplified. Thus, this research compensates for the drawbacks of the existing comprehensive evaluation models in that the bid evaluation process is cumbersome, thereby extending the research on DEA methods in bid evaluation. Additionally, the model provides tenderers with a more efficient and effective bid evaluation method to select the most appropriate contractor. In the future, research may be conducted to apply DEA to other types of projects, including service projects, real estate, and consulting services.

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Pretendering Decision Model for Contractor Selection of Public Procurement Projects

Cited by 12 publications

References 11 publications

Validity and reliability testing of the questionnaire used to finalize criteria for the evaluation of the contractor’s performance

Validity and reliability testing of the questionnaire used to finalize criteria for the evaluation of the contractor’s performance

Effect of Sub-Contractor Selection on Construction Project Success in Turkey

Bidding Evaluation and Contractor Selection Using Balance Index Model and Comprehensive Input Efficiency Based on Data Envelopment Analysis

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