Based on MATLAB/SIMULINK, the paper has proposed cost risk simulation models separately in accor-dance with the circumstances of correlation and independence between the influential factors of cost risk. The mean,vari...Based on MATLAB/SIMULINK, the paper has proposed cost risk simulation models separately in accor-dance with the circumstances of correlation and independence between the influential factors of cost risk. The mean,variance and the risk level under the above-mentioned two circumstances have also been compared with a case study.Also the sensitivity analysis of cost risk has been probed into. The result indicates that the model which takes into ac-count correlation is more objective, and the model which ignores the circumstance of correlation normally underes-timates the risk level of project cost.展开更多
Cost estimation has its proven importance as one of essential factors for project success. The aim of this research is to predict the early project cost using neural network. Early project cost represents a key compon...Cost estimation has its proven importance as one of essential factors for project success. The aim of this research is to predict the early project cost using neural network. Early project cost represents a key component in business unit decisions. The most important factors influencing on the parametric cost estimation in construction building projects in Gaza Strip were defined and investigated. A questionnaire survey and relative index ranking technique were used to conclude the most important factors. Fourteen most effective factors were identified. One hundred and six case studies from real executed construction project in Gaza Strip were collected for training and testing the model. The cases were prepared to be used in cost estimate neural networks model. Eighty percent of case studies were used to train and test the model. The remaining 20% was used for model verification. The results revealed the ability to the model to predict cost estimate to an acceptable degree of accuracy. The minimum squares error with 0.005 in training stage and 0.021 in testing stage were recorded.展开更多
An overview of the delelopment of approaches to construction cost and price forcasting since the 1950’s is given. First, second and third generation models can be identified, but they all have shortcomings. This pape...An overview of the delelopment of approaches to construction cost and price forcasting since the 1950’s is given. First, second and third generation models can be identified, but they all have shortcomings. This paper puts forward a new model, fuzzy calculation model, based on lots of data of the finished proiects. Through actual application, it is proved that the model is accurate and quick in calcalation of construction.展开更多
in the bill of quantities mode, audit department how to perform the function of supervision, control the cost of the project, to improve the infrastructure investment efficiency to have the important meaning. This art...in the bill of quantities mode, audit department how to perform the function of supervision, control the cost of the project, to improve the infrastructure investment efficiency to have the important meaning. This article from the valuation list elements of engineering audit mode based solutions, engineering audit under BOQ valuation mode is put forward from the audit information management, engineering contract claim, audit personnel quality etc..展开更多
文摘Based on MATLAB/SIMULINK, the paper has proposed cost risk simulation models separately in accor-dance with the circumstances of correlation and independence between the influential factors of cost risk. The mean,variance and the risk level under the above-mentioned two circumstances have also been compared with a case study.Also the sensitivity analysis of cost risk has been probed into. The result indicates that the model which takes into ac-count correlation is more objective, and the model which ignores the circumstance of correlation normally underes-timates the risk level of project cost.
文摘Cost estimation has its proven importance as one of essential factors for project success. The aim of this research is to predict the early project cost using neural network. Early project cost represents a key component in business unit decisions. The most important factors influencing on the parametric cost estimation in construction building projects in Gaza Strip were defined and investigated. A questionnaire survey and relative index ranking technique were used to conclude the most important factors. Fourteen most effective factors were identified. One hundred and six case studies from real executed construction project in Gaza Strip were collected for training and testing the model. The cases were prepared to be used in cost estimate neural networks model. Eighty percent of case studies were used to train and test the model. The remaining 20% was used for model verification. The results revealed the ability to the model to predict cost estimate to an acceptable degree of accuracy. The minimum squares error with 0.005 in training stage and 0.021 in testing stage were recorded.
文摘An overview of the delelopment of approaches to construction cost and price forcasting since the 1950’s is given. First, second and third generation models can be identified, but they all have shortcomings. This paper puts forward a new model, fuzzy calculation model, based on lots of data of the finished proiects. Through actual application, it is proved that the model is accurate and quick in calcalation of construction.
文摘in the bill of quantities mode, audit department how to perform the function of supervision, control the cost of the project, to improve the infrastructure investment efficiency to have the important meaning. This article from the valuation list elements of engineering audit mode based solutions, engineering audit under BOQ valuation mode is put forward from the audit information management, engineering contract claim, audit personnel quality etc..
