Research on Structural Optimization Strategy of Safety Cost of Construction Enterprise

2021 ◽  
Author(s):  
Xiaojing Zhou ◽  
Zhuo Zhang
2012 ◽  
Vol 594-597 ◽  
pp. 3002-3005
Author(s):  
Chun Yan Gao ◽  
Jian Guang Niu ◽  
Xiu Qing Xing

In view of the study on the quality cost prediction of construction enterprises, this paper established a relatively good index system of quality cost projections. The quality cost of construction enterprise is evaluated by introducing a new mathematical model —Uncertaintymethod. As a new Uncertainty information processing method, Unascertained overcomes the shortcomings of fuzzy evaluation method does not meet the measurement criteria.


2012 ◽  
Vol 594-597 ◽  
pp. 3011-3014
Author(s):  
Jian Guang Niu ◽  
Chun Yan Gao ◽  
Xiu Qing Xing

This paper established a relatively good index system of quality cost projections. The quality cost of construction enterprise is predicted by introducing a new mathematical model — Support Vector Regression Model (SVR). SVR is one of the best methods on dealing with small samples, avoiding the defects of neural network that is easy to fall into local minimum, lower accuracy rate, and it verified Unascertained-SVR model is feasible and good accuracy by example.


2020 ◽  
Vol 11 (1) ◽  
pp. 63-73
Author(s):  
Olusegun Emmanuel Akinsiku

Construction activities in Nigeria are dominated by foreigners’ managed construction enterprises. These companies constitute less than 5 percent of the number of construction enterprises in Nigeria; however, they are involved in over 95 percent of high net-worth construction activities. Nigeria Indigenous Construction Enterprises (NICE) are faced with numerous challenges that have limited their performances. This makes construction clients to patronize foreigners’ managed construction firms because of the flaws in the performances of NICE. There have been measures on how to make NICE relevant, but most attempts have achieved little or no success. This study was aimed at examining the challenges of NICE in the face of the present scenario and to proffer ways of possible improvement. Primary data were collected by administering a structured questionnaire to both clients and contractors who are involved in the day-to-day construction activities. Data collected were analyzed using descriptive statistics, mean score and Kruskal-Wallis test. The study identified 25 challenges of NICE and 18 ways of improving NICE performance through careful literature reviews. The analysis of the total ranking among stakeholders revealed that limited technical expertise, insufficient profit on projects and delay in the payment of contractors for work done were the highest-ranked challenges. Application of project management techniques in construction activities, quality control of materials and improving production capabilities were the most important means of improving NICE performance as identified. The findings of this study will help to improve the competitiveness of indigenous contractors if well implemented as it will help to reduce the cost of construction as the competition nest for performing contractors will be widened.


2012 ◽  
Vol 193-194 ◽  
pp. 333-336
Author(s):  
Li Xin Li ◽  
Yi Bo Zhang ◽  
Hao Sun

Aim: To strengthen management cost of construction projects, reduce procurement cost of materials, guarantee materials quality and to promote the profitability of the project. Approach:Adopt scientific centralized procurement implemented by construction enterprise headquarter.Result: It not only reduces materials procurement cost, but also improves the quality of procurement, which, guarantee the project quality and promote the profitability of both the project and the enterprise that carries it out. Conclusion: The centralized procurement mode of construction project materials can effectively reduce construction cost and promote the profitability of both the project and the enterprise that carries it out.


2021 ◽  
Vol 2 (47) ◽  
pp. 86-93
Author(s):  
L. Husarova ◽  
O. Rubtsova ◽  
D.S. Olenich

The article considers the peculiarities of the distribution of total production costs, taking into account the specifics of the construction enterprises of Ukraine. It is established that the accounting processes are regulated by UAS 16 "Costs" and UAS 18 "Construction contracts", but in practice the implementation of  the distribution of overhead costs becomes a formal procedure due to insufficient definition and presentation in the current regulatory framework of the classification of costs. It is noted that in construction there are three types of cost of construction and installation work: estimated, which includes regulatory costs due to estimated norms and current prices; planned, which includes the cost of construction and installation work and is determined on the basis of technical and economic calculations using economically justified norms and standards of costs for construction and installation work under normal capacity of the construction company and the actual, including the actual costs of the construction company, incurred during construction and installation work.  This feature leads to the possibility of significant differences in the actual and estimated cost of construction. The schematic connection of the classification of costs by economic elements and costing items in calculating the cost of construction and installation work is given. It is determined that the improvement of accounting for total production costs should be an element of strategic management in the construction company as there is a tendency to increase in recent years. Carrying out the correct distribution of  total production costs requires further development of regulatory and methodological framework, firstly, by improving the classification of indirect costs with the development of criteria for determining their fixed and variable part, and secondly, developing criteria for selecting the optimal distribution base of construction enterprises. It is considered promising to use information technology for more accurate calculations and improve the working conditions of analysts in the distribution of  total production costs.


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