Research of Construction Process Quality Control in Building Engineering

2013 ◽  
Vol 438-439 ◽  
pp. 1637-1640
Author(s):  
Dong Ming Xu ◽  
Kai Wen Yang ◽  
Yi Jun Shi
Keyword(s):  
Quality Control ◽  
Construction Projects ◽  
Construction Project ◽  
Process Quality ◽  
Building Construction ◽  
Construction Process ◽  
Schedule Control ◽  
Control Cost ◽  
Factors Affecting ◽  
Building Engineering

By analyzing the points of construction process quality control in the building construction project and the relationship among quality control, cost control and schedule control, the main factors affecting the construction process quality control in the building construction project are given out, and a practical system is established. This system includes pre-construction quality planning, quality control, drawings reviewing technical tests, building products quality control, responsibility for quality and other aspects. The practical application of this system in some building construction projects proved its effectiveness in the project quality control.

Comparative Analysis of Construction Process at Building Sites

2017 ◽  
Vol 865 ◽  
pp. 390-396
Author(s):  
Chang Ray Chen ◽  
Fei Fei Cheng ◽  
Yong Bai
Keyword(s):  
Labor Productivity ◽  
Construction Projects ◽  
Building Construction ◽  
Construction Process ◽  
Factors Affecting ◽  
Productivity Data ◽  
The Us ◽  
The Difference ◽  
Chinese Labor ◽  
The U.S

The accurate measurement of labor productivity data can mean the difference between the success and failure of a building construction project. Due to the sheer diversity and complexity of international building construction practices, minimal research has been performed on comparative labor productivity between countries. In this paper, the authors present a research project that was conducted by comparing the Chinese labor productivity with the U.S. labor productivity in building construction projects. The labor productivity data were collected from different jobsites in the U.S. and China by using a time-study method with established data collection procedures. Furthermore, work sampling in the HVAC system work category was used as a method to gather information about the amount of labor productive and nonproductive work hours spent on construction activities. It is certain that there are many factors affecting productivity in the building construction process. With the lack of timely and effective project quality supervision, construction quality cannot be guaranteed. For this reason, various statistical analysis methods were applied to analyze and compare the collected productivity data from both countries. Findings of this productivity comparison can provide industry practitioners the advancement of knowledge in the Chinese building construction industry and it can support benchmarking and continuous improvement of productivity with a greater efficiency in both the US and Chinese building construction markets.

scholarly journals Identification of geodetic risk factors occurring at the construction project preparation stage

2019 ◽  
Vol 9 (1) ◽  
pp. 14-17 ◽  
Author(s):  
Magdalena Kowacka ◽  
Dariusz Skorupka ◽  
Artur Duchaczek ◽  
Paweł Zagrodnik
Keyword(s):  
Risk Factors ◽  
Construction Projects ◽  
Expert Knowledge ◽  
Construction Project ◽  
Road Construction ◽  
Construction Process ◽  
The Road ◽  
Initial Stage ◽  
Preparation Stage

AbstractThe work contains information on the implementation of surveying works in the road construction process. The aim of the research was to identify geodetic risk factors occurring at the stage of preparation of a construction project, the presence of which can greatly disrupt the undertaking such as the road construction. The research was carried out on the basis of expert knowledge, documentation obtained from various road construction projects and the analysis of disturbances at the initial stage of works.

scholarly journals Application of Quality Assessment System in Sudanese Construction Industry

2021 ◽  
Vol 9 (3) ◽  
pp. 52-57
Author(s):  
Yasir Mohamed Hassan Amin ◽  
Mohamed Abdulla Nugdalla Ahmedi
Keyword(s):  
Literature Review ◽  
Quality Assessment ◽  
Construction Industry ◽  
Construction Projects ◽  
Assessment System ◽  
Construction Process ◽  
Standard Score ◽  
Factors Affecting ◽  
Assessment Systems ◽  
Main Factors

Quality management is considered one of the most important obstacles facing the construction industry in Sudan. The application of a quality assessment system contributes to the development of quality in projects as it is possible to measure the quality in projects. This paper aims to introduce one of the quality assessment systems, which is the system followed and applied in the Singapore (CONQUAS). This system assesses quality based on structural, architectural, mechanical and electrical work. The paper also aims to study the factors affecting the application of the quality assessment system in Sudan. The study is carried out in the region of Khartoum. The study is focusing on the construction projects. The study is carried out by questionnaires and other literature review. The respondents are consultants and contractors. The data has been distributed and analyzed by using the Average Index. From the study it was found that CONQUAS standard is assessed the building based on workmanship standards by the assessors from the BCA on site using standard score sheets. The assessment is done throughout the construction process for structural, mechanical and electrical works, and from questionnaire results the main factors affect construction industry in Sudan is lack of standardization in Sudan. The author recommended that more study shall be conducted to identify factors affecting quality in Sudanese construction industry and how to improve the quality.  

scholarly journals Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yoonseok Shin
Keyword(s):  
Cost Estimation ◽  
Construction Projects ◽  
High Performance ◽  
Learning Algorithm ◽  
Early Stage ◽  
Construction Project ◽  
Regression Tree ◽  
Building Construction ◽  
Regression Problem ◽  
Additional Information

Among the recent data mining techniques available, the boosting approach has attracted a great deal of attention because of its effective learning algorithm and strong boundaries in terms of its generalization performance. However, the boosting approach has yet to be used in regression problems within the construction domain, including cost estimations, but has been actively utilized in other domains. Therefore, a boosting regression tree (BRT) is applied to cost estimations at the early stage of a construction project to examine the applicability of the boosting approach to a regression problem within the construction domain. To evaluate the performance of the BRT model, its performance was compared with that of a neural network (NN) model, which has been proven to have a high performance in cost estimation domains. The BRT model has shown results similar to those of NN model using 234 actual cost datasets of a building construction project. In addition, the BRT model can provide additional information such as the importance plot and structure model, which can support estimators in comprehending the decision making process. Consequently, the boosting approach has potential applicability in preliminary cost estimations in a building construction project.

Exploring influential factors leading to the poor performance of public construction project in Ethiopia using structural equation modelling

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benti Gadisa ◽  
Hong Zhou
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Construction Project ◽  
Poor Performance ◽  
Project Performance ◽  
Influential Factors ◽  
Project Design ◽  
Content Type ◽  
Factors Affecting ◽  
Public Construction

PurposeIt is well recognized that the construction industry is characterised by inefficient and ineffective service delivery due to various causative factors. Thus this study aims to examine the influential factors affecting public construction project performance in Ethiopia to improve the industry's service delivery.Design/methodology/approachFrom the extensive literature reviewed, 58 potential factors affecting construction project performance have been compiled. Based on the evidence accumulated, the conceptual model of this paper has been developed. By using survey questionnaires, valuable data were collected from the construction industry professionals in Ethiopia; analysed and interpreted with the use of both SPSS and AMOS software.FindingsIt is concluded that failure factors related to the “performance” of the contractor, the “capability” of the owner, the “project design-procurement process,” and project contract management can significantly contribute to the poor performance of public construction projects in Ethiopia. Ten key factors include inadequate contractor capacity, weak project site management and supervision, weak project management skills and capabilities of the owner, additional work orders, delayed payment, lack of comprehensive project plans between parties and incomplete project design, rising material prices, ineffective project schedules, and cost management, rising market prices and devaluation of the currency.Research limitations/implicationsThe scope of this study confined to public projects in Ethiopia. It suggests that further research needs to consider public and private construction from a comprehensive perspective in the developing countries.Practical implicationsIt provides practitioners with information and guidance on the factors that affect the performance of construction projects.Originality/valueIt provides inclusive evidence related to many factors that affect the performance of public construction projects.

Application of Quality Control Techniques in Construction Projects

2012 ◽  
Vol 433-440 ◽  
pp. 1513-1518
Author(s):  
Jia Wei
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Construction Projects ◽  
Construction Project ◽  
Control Techniques ◽  
Quality Control Techniques

Quality control techniques have long been used in the businesses that primarily sell and produce standard products and seldom conduct external projects. This paper tries to introduce those quality control techniques to construction contractors or builders and probes the probability of applying them in the quality management of a construction project.

scholarly journals APPLICATION OF QUALITY PLANNING TO OPTIMIZE PRODUCT AND CONSTRUCTION PROJECT QUALITY

2021 ◽  
pp. 1-8
Author(s):  
Tuan Nguyen Anh ◽  
Tuong Le Manh ◽  
Tung Huynh Van
Keyword(s):  
Product Quality ◽  
Construction Projects ◽  
Construction Project ◽  
Developed Countries ◽  
Mathematical Tool ◽  
Factors Affecting ◽  
Quality Planning ◽  
Investment Projects ◽  
The World ◽  
Cartesian Coordinate

A country is called developed when the capacity and progress of science and technology have created products that always meet the requirements and increasing needs of people, ensuring stability and development of the nation in particular and the movement of the world in general. In Vietnam, the quality of goods is still modest. This exists not only from a macro perspective but also from a micro perspective and the transition from macro to micro because of a lack of orientation, or can be called the lack of "Product quality planning” [21,25] in terms of space. This paper will discuss the concepts of quality, expand the concept of quality with the aim of achieving good quality, meeting increasing requirements, need to perform the "quality planning" work under the space degree. The paper uses a mathematical tool based on the Cartesian coordinate system to determine the optimal value of product quality in order to demonstrate quantitatively according to the spatial frameworks when the quality is desired to achieve the required perfection through the magnitude of the "quality demand.” In a similar way, in order to get the construction project achieve the maximum quality, there must be adjustment solutions in 3 aspects. However, at present, in Vietnam in particular and the world in general, there have not been many in-depth studies on the formation of quality and the factors affecting the quality, especially the industrial construction projects [3]. Through the success or failure of investment projects in the form of public private partnerships (PPP) of countries around the world, including developed countries, the author thinks that in order for the project to be successful, it is necessary to apply construction product quality planning.

scholarly journals Study of factors affecting the performance of construction projects in AEC industry

2020 ◽  
Vol 12 (1) ◽  
pp. 2275-2282
Author(s):  
Saurav Dixit
Keyword(s):  
Construction Industry ◽  
Financial Management ◽  
Construction Projects ◽  
Construction Project ◽  
Primary Data ◽  
Enabling Factors ◽  
Management Planning ◽  
Factors Affecting ◽  
Living Entity ◽  
Questionnaire Surveys

Abstract A construction project is like a living entity and requires the interconnection and coordination of several stakeholders and many of them have their objectives, which sometimes create a conflict of interest between the teams and within the teams. The success of any project is repeatable, and a set of attributes for the success of a construction project can be identified, requiring discipline and hard work. The construction sector is the engine of growth for a nation and supplies services and goods to other industries. The objective of the study is to analyse the enabling factors affecting the performance construction projects in Architecture Engineering and Construction industry. The methodology chosen for the study is to collect primary data from the Indian construction industry using structured questionnaire surveys. The collected data are analysed using reliability and factor analyses. The findings of the study provide the value of reliability, that is, Cronbach's alpha value of (0.86) of the data collected using a questionnaire survey. Furthermore, exploratory factor analysis produced five main significant factors based on covariance between the attributes and grouped into factors such as site management and coordination, leadership and financial management, planning, commitment, and coordination having a variance of 17.65, 11.8, 9.1, 8.5, and 7.5%, respectively. This article is the extended version of the paper accepted and presented at CCC2019.

scholarly journals Analysis of Labor Productivity of Brick Masonry Work in Building Construction in Kathmandu Valley

2021 ◽  
Vol 6 ◽  
pp. 159-175
Author(s):  
Nirmal Lawaju ◽  
Nabin Parajuli ◽  
Santosh Kumar Shrestha
Keyword(s):  
Production Rate ◽  
Labor Productivity ◽  
Construction Projects ◽  
Model Development ◽  
Construction Project ◽  
Brick Masonry ◽  
Building Construction ◽  
Ann Model ◽  
Cost Component ◽  
Data Set

Construction labor productivity is the most determinant of success of any construction project. Labor is considered as more variable and unpredictable cost component for the successful accomplishment of construction projects. The main aim of this research is to develop an artificial neural network (ANN) model to predict the production rate for brick masonry work by assessing the various factor affecting labor productivity. Out of forty-four factors selected from a literature review, the top thirteen factors were selected for model development after the questionnaire survey and ranking them based on Relative Importance Index (RII). The model was developed in Neurosolution version 7.1.1.1 using the various input data set collected from active construction site of brick masonry. 65% of data set were used for training, 20 % of data set were used for cross-validation and remaining 15 % of data set were used for testing. The error between actual productivity and estimated productivity was computed using Mean Square Error (MSE) which was 0.019 which verified that the estimated production rate was within an acceptable range. After the successful testing of model, a sensitivity analysis was performed to analyze the order of most influencing factors affecting labor productivity. The developed ANN model can be used for estimating the labor productivity of brick masonry work for any building construction project by incorporating the influence of selected parameters or factors.

Sign in / Sign up

Export Citation Format

Share Document