Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach

Juan, Yi‐Kai; Perng, Yeng‐Horng; Castro‐Lacouture, Daniel; Lu, Kuo-Sheng

doi:10.1016/j.autcon.2008.06.001

Cited by 91 publications

(62 citation statements)

References 27 publications

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“…Juan [24] proposed a hybrid approach combining Fuzzy Set Theory and quality function deployment (QFD) to establish a contractor selection model. The whole fuzzy-QFD process include five steps for determining the weights of client's requirements and criteria: This paper presents a proposal of a fuzzy contractor prequalification approach whose main differences and advantages in comparison with previous ones are the use of an algorithm to handle the inconsistencies in the fuzzy preference relation when pair-wise comparison judgements are necessary and the use of linguistic assessment and exact assessment of performance of the contractors on qualitative criterion and quantitative criterion, respectively.…”

Section: Contractor Prequalification Modelsmentioning

confidence: 99%

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

Nieto-Morote

Ruz-Vila

2012

Automation in Construction

116

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Selecting an appropriate contractor is essential for the success of any construction project. Contractor prequalification procedure makes it possible to admit for tendering only competent contractor. Prequalification is a multi-criteria decision problem that is, in essence, largely dependent on the uncertainty and vagueness in the nature of construction projects and subjective judgement of the decision-maker. This paper presents a systematic prequalification procedure, based on Fuzzy Set Theory, whose main differences and advantages in comparison with other models are the use of an algorithm to handle the inconsistencies in the fuzzy preference relation when pair-wise comparison judgements are used and the use of linguistic assessment or exact assessment of performance of the contractors on qualitative or quantitative criterion, respectively. Finally, a case study for the rehabilitation project of a building at Technical University of Cartagena is presented to illustrate the use of the proposed model and to demonstrate its effectiveness.

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Section: Contractor Prequalification Modelsmentioning

confidence: 99%

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

Nieto-Morote

Ruz-Vila

2012

Automation in Construction

116

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“…Bendaña et al (2008) employed fuzzycontrol approach and built artificial neural network for selecting contractors. Juan et al (2009) proposed a hybrid approach that combines fuzzy set theory and quality function deployment (QFD) to select housing refurbishment contractor. Zavadskas et al (2009a) demonstrated the concept of general contractor choice on the basis of multiple attributes of efficiency with fuzzy inputs applying COPRAS-G method through a case study.…”

Section: Previous Studies In Contractor/subcontractor Selection Methodsmentioning

confidence: 99%

Subcontractor Selection Using the Integration of the Ahp and Promrthee Methods

Polat

2015

Journal of Civil Engineering and Management

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Abstract. On many construction projects, especially building projects, 80-90% of the tasks are performed by subcontractors. Since the success of the project highly depends on the performances of the subcontractors, selecting the right subcontractor for the right job is critical. Main contractors generally tend to select the subcontractors that offer the lowest bid price. However, working with unqualified and insufficiently financed subcontractors may result in inefficiencies and failures. Thus, a combination of several compromising and conflicting criteria underpinning financial capacity and competencies of the subcontractors should be considered during the subcontractor selection process. This paper proposes an integrated decision approach, which employs analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, for the subcontractor selection problem. In the proposed approach, AHP is used to analyze the structure of the subcontractor selection problem and to determine the weights of the criteria, and PROMETHEE is employed to obtain complete ranking and perform sensitivity analysis by changing the weights of criteria. The proposed approach is applied to a problem of selecting the most appropriate subcontractor to be worked with in an international construction project. Company management found the proposed decision approach satisfactory and implementable in future subcontractor selection problems.

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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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Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach

Cited by 91 publications

References 27 publications

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

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

Subcontractor Selection Using the Integration of the Ahp and Promrthee Methods

Integrated Model for Selection the Prequalification Criteria of Contractor

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