A fuzzy multi-criteria decision-making model for construction contractor prequalification

Nieto-Morote, Ana; Ruz-Vila, Francisco

doi:10.1016/j.autcon.2012.04.004

Cited by 116 publications

(80 citation statements)

References 38 publications

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“…Many multi-criteria techniques have been proposed and applied to such problems solution [3], [4], [16]- [20]. Generally, the process of contractor selection contains two stages, namely, prequalification and bid evaluation [4].…”

Section: Prequalification Process For Selection a Contractormentioning

confidence: 99%

Integrated Model for Selection the Prequalification Criteria of Contractor

Alzober¹,

Yaakub²

2014

LNSE

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Abstract-Selection of a contractor is a key decision made by clients and the process of selection a contractor has become an important issue in construction projects. The opportunistic behavior of contractors in low-bids models has been detected from many researchers in various countries and many studies of low bids have found that for the best economic results and good quality, the lowest bid is not considered sufficient to ensure the desired results. A contractor selection problem is a multi-criteria problem. This paper aims to propose integrated model for determining criteria prequalification to select a contractor. The proposed integrated model contains three components. First, Non-parametric tests will use to deal with categorical variables for ranking alternatives. Second, ANN model will apply to determine the relationship between decision factors by using backpropagation multi-layer perceptron (MLP). Third, AHP model will assign the relative importance weightings of several evaluation factors by using Web-HIPRE software to rank the criteria. We hope that the result from proposed model will be encouraging.

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Section: Prequalification Process For Selection a Contractormentioning

confidence: 99%

Integrated Model for Selection the Prequalification Criteria of Contractor

Alzober¹,

Yaakub²

2014

LNSE

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“…Other studies have used decision-making systems in construction projects, such as Ning et al [7], who used a decisionmaking system to plan a dynamic multi-objective and unequal-area construction site layout. NietoMorote and Ruz-Vila [8] presented a multi-criteria decision problem based on Fuzzy Set Theory, which uses a linguistic assessment or exact assessment of the performance of contractors based on qualitative or quantitative criterion. Ebrahimnejad et al [9] used a decision-making system for a construction project problem subject to multiple criteria in a fuzzy environment.…”

Section: Multi-criteria Decision Making In Construction Projectsmentioning

confidence: 99%

Developing a Decision-Making Model for Reinforced Concrete Columns Strengthening

Hassan¹

2015

geomate

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Steel tubes (ST) have long been used to strengthen RC columns, while the application of CFRP for this purpose is a recent practice. Both techniques have many advantages and shortcomings. In this paper, a multi-criteria decision-making model is introduced to quantify the selection of one of the two techniques. Four criteria and 28 factors affecting them are identified to develop the model. The selected criteria are cost, strengthening efficiency, durability, and project scope achievement. The model is fed by data collected from execution activities, field surveys and previous laboratory test results. The model has been validated and applied to a real case study. The detailed discussion and analysis indicated that many features support the use of CFRP in the investigated case study. Furthermore, the analysis emphasised that the strengthening efficiency and durability decide the selection while project scope achievement criterion is insignificant compared to other criteria. Ultimately, the obtained results from the case study provide the construction market with a decision that supports the use of the CFRP by 56 %, while the use of ST is only supported in 44 %.

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“…On the one hand, current hiring research is based around determining the correct selection criteria and the development of contractor selection models using a multi-criteria analysis of neural network techniques [10][11][12] in technical AHP-ANP [13] or DEA techniques [14][15]. Another avenue of research is the development of mathematical models that help to make the decision of whether to compete for a contract.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Scoring Formula of Economic Criteria in Public Works Procurement

Bargues¹

2013

IJEBO

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Public works procurement regulates two award procedures from within the same criteria: either the price or a variety of different conditions. Although the question of price may not seem the most important factor to be considered, it is imperative to always be aware of it when bearing in mind the award criteria. Economic scoring formulae (ESF) are numerous and each agency has the authority to determine which will be used for each of their bids, making this article a comparative analysis of all the options. The results show that most formulas give the highest score to the most economic bidder, it is necessary to eliminate the use of formulas that give the highest score to the offers which are closest to the average of all bids submitted. One should always opt for formulas with moderate or strong scoring gradients across various stages or phases, thereby giving more weight to economic analysis, as set out in the various administrative clauses.

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A fuzzy multi-criteria decision-making model for construction contractor prequalification

Cited by 116 publications

References 38 publications

Integrated Model for Selection the Prequalification Criteria of Contractor

Integrated Model for Selection the Prequalification Criteria of Contractor

Developing a Decision-Making Model for Reinforced Concrete Columns Strengthening

Analysis of the Scoring Formula of Economic Criteria in Public Works Procurement

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