An integrated decision support model based on bwm and fuzzy-vikor techniques for contractor selection in construction projects

Aziz Naghizadeh Vardin, Ramin Ansari, Mohammad Khalilzadeh, Jurgita Antucheviciene, Romualdas Bausys

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

14 Citas (Scopus)

Resumen

Sustainable development of any country to some extent depends on successful accomplishment of construction projects, particularly infrastructures. Contractors have a key role in the success of these projects. Hence, the selection of a competent contractor as a complicated and hard decision process has a vital importance in the destiny of any construction project. Contractor selection is in essence a multicriteria decision-making that ought to encompass so many aspects of the project and the client’s requirements on one hand and the capabilities and past records of the contractors on the other hand. Failure in selecting a competent contractor may cause time and cost overruns; quality shortcomings; increasing in claims, disputes and change orders; and even failure of the project. In spite of deficiencies of selecting a contractor by the rule of “the lowest bid price”, it still prevails in many countries including Iran. In this paper, a new contractor selection model based on the best-worst method (BWM) and well-known Fuzzy-VIKOR techniques is proposed as a solution to overcome the deficiencies of the traditional “lowest bid price” rule. An illustrative example of a water channel construction project verified the applicability of the proposed model in practice.
Idioma originalEspañol
PublicaciónSustainability (Switzerland)
Volumen13
EstadoPublicada - 2 jun. 2021

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