Contractors ranking in construction projects based on a fuzzy decision-making method: A case study in the National Iranian Oil Company

Abstract

Prepared platforms and infrastructures are required for all companies' improvement to carry out their assigned missions. In this regard, construction contractors play their role as one of the main managers’ levers and are responsible for building the infrastructures. Quantity and quality of contractors’ services can have a quite direct impact on corporate strategies and their life trend, and outbreak as an advantage in competitive markets. Having a contractor that is the closest match with the project is intended to be among the principal tasks of the managers in project performance department. The contractor must have talents which effectively meet project requirements. A decision support system is obtained by prioritizing the determining and influential criteria in decision making, contractor selection, performing and defining the documents. Therefore, considering most of these numerous quality based indicators, Fuzzy multi-criteria decision-making methods can be used for contractor pre-qualification and selection to meet this objective. Accordingly, in this paper, a method based on FUZZY TOPSIS approach is presented to evaluate and rank the development of the National Iranian Oil Company Contractors.