Research On EPC Project Construction Cost Forecast

China has further deepened the reform of "delegating power,delegating power,and providing services" in the construction industry,improved the construction permit system of general contracting construction projects,and accelerated the implementation of EPC general contracting mode since 2017.Compared with the traditional contracting mode-DBB contracting mode,EPC contracting mode has many advantages in resource integration and improving efficiency.However,due to the expansion of the contract scope and the contract model of the total price contract,the general contractor operation management project has higher requirements.In order to better adapt to the opportunities and challenges brought by the EPC general contracting mode,the general contractor needs to establish a bid budget cost prediction model based on the characteristics of the EPC general contract mode at the beginning of the bidding stage,so as to better decide the target profits and bid quotation.This paper first uses the literature analysis method and questionnaire survey method to determine the influence factors affecting the bidding budget cost,and then uses the bidding budget cost data calculated in the bidding process of 40 projects in Hebei in the past three years,and establishes the main component regression equation for the JX construction enterprise of JX construction enterprises.Then,based on JX Enterprise N project as the measured case,the established cost prediction regression equation is applied to predict the bidding budget cost of JX Enterprise N project.The results show that the accuracy of the cost prediction model established in this paper reaches the regulation of ±5% floating for the cost of the proposed project,which proves the feasibility of the model application and the EPC general contractor can apply the model in the actual process.Through this study,under the industry situation of vigorously promoting the EPC general contracting model,it provides a calculation basis for the project general contracting enterprises to establish a cost prediction system suitable for this model.