scholarly journals A Study Identifying Causes of Construction Waste Production and Applying Safety Management on Construction Site

2014 ◽  
Vol 2 (3) ◽  
pp. 49-54 ◽  
Author(s):  
Ali Asghar Najafpoor ◽  
Asma Zarei ◽  
Farideh Jamali-Behnam ◽  
Mohammad Vahedian-Shahroudi ◽  
Ahmad Zarei ◽  
...  
2019 ◽  
Vol 4 (14) ◽  
pp. 72-83
Author(s):  
Sharifah Meryam Shareh Musa ◽  
Azlina Md Yassin ◽  
Rozlin Zainal ◽  
Haryati Shafii ◽  
Pei Yin Yeo

Rapid growth in the construction industry has increased construction waste generation and caused serious impact on the environment. In Malaysia, most contractors are using the conventional method as the main method in the construction process. However, using conventional methods for construction work is not environmentally friendly because of the poor quality control at the construction site and the uncontrolled waste production. This has contributed to pollution problems in the environment in the form of air and water pollution, and construction waste. The aim of this study was to identify the type of construction waste and causes of waste generation from conventional methods with IBS. In addition, this study also suggests measures to minimize construction waste generation at the construction site. This study used quantitative methods of questionnaires as an instrument. A total of 200 questionnaires were distributed to the G7 contractors and developers in Johor to get feedback. The data obtained were analyzed using statistical methods and indices mean. From the results, it was found that most types of solid waste high in conventional construction are wood (3.85) but with the use of IBS, wood waste generation can be reduced (3.15). For the source of waste generation, it shows that the handling process is the main cause with the mean score (3.47) in IBS and the mean score (3.75) during construction is carried out for conventional methods. Therefore, IBS technology is the considered best option in order to minimize waste generation at the construction site.


Author(s):  
Dan Xin

The effective construction of safety monitoring system at construction site depends on perfect management system and advanced technical support. And the lack of information technology platform, resulting in reduced management efficiency, information is not accurate and other issues. Based on the construction site safety monitoring system to achieve the goal, to do a good job in advance prevention, to take the latest information collection technology RFID and BIM integrated comprehensive and effective monitoring of the construction site, constitute the main technology in the monitoring system, thus ensuring the construction site safety monitoring efficiency , Comprehensive, real-time, etc., on the management and technical two points to achieve the construction site safety monitoring, improve the quality of safety management.


2021 ◽  
Vol 11 (4) ◽  
pp. 1378
Author(s):  
Seung Hyun Lee ◽  
Jaeho Son

It has been pointed out that the act of carrying a heavy object that exceeds a certain weight by a worker at a construction site is a major factor that puts physical burden on the worker’s musculoskeletal system. However, due to the nature of the construction site, where there are a large number of workers simultaneously working in an irregular space, it is difficult to figure out the weight of the object carried by the worker in real time or keep track of the worker who carries the excess weight. This paper proposes a prototype system to track the weight of heavy objects carried by construction workers by developing smart safety shoes with FSR (Force Sensitive Resistor) sensors. The system consists of smart safety shoes with sensors attached, a mobile device for collecting initial sensing data, and a web-based server computer for storing, preprocessing and analyzing such data. The effectiveness and accuracy of the weight tracking system was verified through the experiments where a weight was lifted by each experimenter from +0 kg to +20 kg in 5 kg increments. The results of the experiment were analyzed by a newly developed machine learning based model, which adopts effective classification algorithms such as decision tree, random forest, gradient boosting algorithm (GBM), and light GBM. The average accuracy classifying the weight by each classification algorithm showed similar, but high accuracy in the following order: random forest (90.9%), light GBM (90.5%), decision tree (90.3%), and GBM (89%). Overall, the proposed weight tracking system has a significant 90.2% average accuracy in classifying how much weight each experimenter carries.


2015 ◽  
Vol 4 (1) ◽  
pp. 19
Author(s):  
Qi Feng

<p>In recent years in building construction site construction workers due to the complexity, the project construction period, the working environment is poor, the construction process hazard and more security-conscious workers partial bottom. When accidents occur, such as by falling, falling objects wounding, electric shock, earthmoving collapse, overturning and other machinery, causing casualties, to construction companies and property losses caused by the economy to varying degrees. Throughout its reasons, one is security responsibilities are not clear, safety supervision and management system is not perfect, the other is the weakening of the internal management of construction enterprises, especially flawed construction site management, lack of effective security measures, the responsibility is not implemented, management personnel and operations personnel have not performed the necessary education and training, lack of knowledge of security technologies, illegal command, illegal operation.</p>


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