Research On Time-cost-quality Trade-off Optimization And Multi-attribute Decision Making In The Construction Management Of The Water Project

Along with the more and more utilization of the water resources, some large water conservancy projects start construction to solve the power supply shortage and control the flood and drainage. The increasing investment, the longer construction cycle and the increasing external environment impact make the project management more complex. The main task of the water conservancy project management is how to complete the project in plan time with reasonable quality standard and building cost so as to maximize project value. This dissertation studies on the time-cost-quality trade-off optimization and multi-attribute decision making in the construction management of the water conservancy project, proposes the model for time-cost-quality trade-off problem, solves the model with an improved Bare-bones Particle Swarm Optimization and in the last chooses the best scheme with an improved TOPSIS method. The results of the research have very important significance to enhance the level of objective management theory and technology of water conservancy project in China.This study is financially supported by the National Natural Science Foundation of China(No.51379192) and the main research contents are as follows:(1) The piecewise function between quality and time and the fitting function between and among quality, time and cost are developed for water conservancy project. Based on the quality models, the author further proposes the fuzzy multi-mode discrete time-cost-quality tradeoff models for the water project construction. The models can solve the time-cost-quality tradeoff problem under the conditions of fuzzy uncertain environment and several operating modes in one work. A case study is given to verify the rationality and validity of the models. The model 2 is finally applied to a concrete face rockfill dam project. The optimization results provide technical support to the project scheduling and target control in the project.(2) A Bare-bones Particle Swarm Optimization based on genetic operator and immune operator is proposed to solve the fuzzy multi-mode discrete time-cost-quality tradeoff model of the water conservancy project. The genetic operator and immune operator are introduced to improve the global and local searching ability of the algorithm. Simulation experiments on multiple objective standard test functions prove that the improved algorithm has better convergence and distributivity. Finally, the improved algorithm is applied to the multi-objective optimization model of the dam project. The calculation result is good and the advantage of the improved algorithm is very obvious.(3) A TOPSIS method based on weighted Generalized Mahalanobis Distance is raised to select the best scheme from the trade-off optimization results. The calculation formula of weighted Generalized Mahalanobis Distance is first put forward and applied to the traditional TOPSIS method. The improved TOPSIS method can effectively solve the correlation between attribute indexes, the subjective and objective weighting and the noninvertibility of the covariance matrix. A case study is given to verify the rationality and validity of the improved TOPSIS method. The example result shows that the TOPSIS method based on weighted Generalized Mahalanobis Distance is a better intelligent decision making tool to scheme evaluation for water project.(4)The application research of the time-cost-quality trade-off optimization and decision making is carried out in Hekou reservoir as a case study. The decision making results lay a theoretical basis for project planning and construction scheduling. The application research of Hekou reservoir is a meaning try for the theoretical results, and testifies the rationality and operability of the time-cost-quality trade-off optimization model and multiple attribute decision making method in the water conservancy project construction.