Identifying cost-raising factors in construction projects using fuzzy multi-attribute decision-taking approach

One of the activities of developing countries to build their economic infrastructures is the implementation of infrastructure projects that annually take up a large part of the country's budget and therefore, planning principles about these projects is essential in order to extract the lowest cost-to-productivity ratio from it. Every year, a large part of the country's credits and financial resources are spent on investing in large construction and infrastructure projects. The most important indicator of success of these projects, in addition to achieving the desired goals and being cost-effective, is its completion in the anticipated time. The purpose of this paper is to identify the key factors of cost increase in tehran municipality construction projects using failure scenario analysis (FMEA) and determine their risk and weighting and ranking using fuzzy AHP model. The results of this study show that the factors that were effective in increasing the costs of construction projects are: rising costs due to inflation in the country, inappropriate performance of the contractor, the problem of expertise of consulting and supervisor engineers and lack of adequate study at the beginning of the project, lack of efficient manpower, instability of workshop management from the start of the project, lack of a strong project control system, lack of proper project management system, lack of work commitment among project staff, wrong estimation of costs. At the beginning of the project, which uses FMEA analysis, the highest risk is related to the cost-raising index due to the inflations in the country and using the project management system is the most important indicator of the lack of a suitable project management system.