Building engineering management is a huge and complex work, which the key to ensure the quality ofconstruction projects. With the rapid development of the domestic construction industry, the traditional engineering ma...Building engineering management is a huge and complex work, which the key to ensure the quality ofconstruction projects. With the rapid development of the domestic construction industry, the traditional engineering management model can not meet the needs of a large number of construction project information exchanges. Only realizing informationization of construction engineering management, can reduce the cost of construction projects, improve the efficiency of project management and construction progress. This paper analyzes the current situation of construction management informatization, and puts forward some suggestions to strengthen the construction management information construction.展开更多
Time, cost, and quality are three key control factors in rockfill dam construction, and the tradeoff among them is important. Research has focused on the construction time-cost-quality tradeoff for the planning or des...Time, cost, and quality are three key control factors in rockfill dam construction, and the tradeoff among them is important. Research has focused on the construction time-cost-quality tradeoff for the planning or design phase, built on static empirical data. However, due to its intrinsic uncertainties, rockfill dam construction is a dynamic process which requires the tradeoffto adjust dynamically to changes in construction conditions. In this study, a dynamic time-cost-quality tradeoff （DTCQT） method is proposed to balance time, cost, and quality at any stage of the construction process. A time-cost-quality tradeoff model is established that considers time cost and quality cost. Time, cost, and quality are dynamically estimated based on real-time monitoring. The analytic hierarchy process （AHP） method is applied to quantify the decision preferences among time, cost, and quality as objective weights. In addition, an improved non-dominated sorting genetic algorithm （NSGA-II） coupled with the technique for order preference by similarity to ideal solution （TOPSIS） method is used to search for the optimal compromise solution. A case study project is analyzed to demonstrate the applicability of the method, and the efficiency of the proposed optimization method is compared with that of the linear weighted sum （LWS） and NSGA-II.展开更多
文摘Building engineering management is a huge and complex work, which the key to ensure the quality ofconstruction projects. With the rapid development of the domestic construction industry, the traditional engineering management model can not meet the needs of a large number of construction project information exchanges. Only realizing informationization of construction engineering management, can reduce the cost of construction projects, improve the efficiency of project management and construction progress. This paper analyzes the current situation of construction management informatization, and puts forward some suggestions to strengthen the construction management information construction.
基金Project supported by the Innovative Research Groups of the National Natural Science Foundation of China （No. 51621092）, the National Basic Research Program （973 Program） of China （No. 2013CB035904）, and the Natural Science Foundation of China （No. 51439005）
文摘Time, cost, and quality are three key control factors in rockfill dam construction, and the tradeoff among them is important. Research has focused on the construction time-cost-quality tradeoff for the planning or design phase, built on static empirical data. However, due to its intrinsic uncertainties, rockfill dam construction is a dynamic process which requires the tradeoffto adjust dynamically to changes in construction conditions. In this study, a dynamic time-cost-quality tradeoff （DTCQT） method is proposed to balance time, cost, and quality at any stage of the construction process. A time-cost-quality tradeoff model is established that considers time cost and quality cost. Time, cost, and quality are dynamically estimated based on real-time monitoring. The analytic hierarchy process （AHP） method is applied to quantify the decision preferences among time, cost, and quality as objective weights. In addition, an improved non-dominated sorting genetic algorithm （NSGA-II） coupled with the technique for order preference by similarity to ideal solution （TOPSIS） method is used to search for the optimal compromise solution. A case study project is analyzed to demonstrate the applicability of the method, and the efficiency of the proposed optimization method is compared with that of the linear weighted sum （LWS） and NSGA-II.
