Introducing a system dynamic–based model of quality estimation for construction industry subcontractors’ works

Author(s):  
Shayan Mohammadrezaytayebi ◽  
Mohammad Hassan Sebt ◽  
Mohammad Reza Afshar

Construction is questionably a main part in relative to comprehensive development . It plays an important part in the role in the economy as and in people’s survives over influencing and preserving the environment of the city-region’s constructed, and it is a rising sector. To provide an efficient performance and more development of the economic, there is emphases on optimizing the employees contribution to the goals and areas of the governments. The training significance as a management central part has long been documented by principal writers.This paper aim to find the impact of training in the construction industry and how the training is been underestimate lead in increase the cost by using the simulation technique system dynamic. The research methodology include designing of questionnaire that consist of three items , the first item include , general Training (Training Program), evaluation of on-the-job training and evaluation of training after establishing work and the second part include building the model using system dynamic to show the effect of training on the cost of construction. the results the authors made the following conclusions .The absence of training program has very strong effect as the absence of such program is caused by the finance absence , this is common problem with Iraqi construction industry. The most environment of the Iraqi industry is the absence of the finance from both owner and contractor as they ignore this part and consider unnecessary expenses and this will lead to unqualified engineering or worker in the wrong job .The absence of management mean that , usually the contractor and his staff are working without the supervise or represented from the owner side , which some time mean unskilled workers may be hired which lead to delay of the work and cost overruns .


2017 ◽  
Author(s):  
Hannah M. Curtis ◽  
Hendrika Meischke ◽  
Nancy Simcox ◽  
Sarah Laslett ◽  
Noah Seixas

Author(s):  
Kambiz Rasoulkhani ◽  
Abdullah Alsharef ◽  
Siddharth Banerjee ◽  
Sudipta Chowdhury ◽  
Qingchun Li ◽  
...  

2020 ◽  
pp. 1-12
Author(s):  
Wu Xin ◽  
Qiu Daping

The inheritance and innovation of ancient architecture decoration art is an important way for the development of the construction industry. The data process of traditional ancient architecture decoration art is relatively backward, which leads to the obvious distortion of the digitalization of ancient architecture decoration art. In order to improve the digital effect of ancient architecture decoration art, based on neural network, this paper combines the image features to construct a neural network-based ancient architecture decoration art data system model, and graphically expresses the static construction mode and dynamic construction process of the architecture group. Based on this, three-dimensional model reconstruction and scene simulation experiments of architecture groups are realized. In order to verify the performance effect of the system proposed in this paper, it is verified through simulation and performance testing, and data visualization is performed through statistical methods. The result of the study shows that the digitalization effect of the ancient architecture decoration art proposed in this paper is good.


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