JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Productivity Analysis on Real-time Path Monitoring of Dumps
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Productivity Analysis on Real-time Path Monitoring of Dumps
Lee, Hak June; Kwon, Young Min; Yoon, Cha Woong; Seo, Jong Won;
  PDF(new window)
 Abstract
This study check the construction site and borrow pit location using GIS-based Open Global Map. Construction Equipment (Dump, Grader) utilizes the GPS (Global Positioning System) to gain equipment`s real-time position, speed, altitude, using the data such as directions to perform real-time monitoring. The analysis of the productivity is completed through using the data, and the optimal number of equipment is calculated. It was found that the analysis results showed approximately 30% less cost compared to the actual design plan.
 Keywords
Global Positioning System (GPS);Location Based System (LBS);Monitoring;Earthwork;
 Language
Korean
 Cited by
 References
1.
Amirkhanian, S. and Baker, N. (1992). "Expert system forequipment selection for earth-moving operation." Journal Constr. Eng. Manage., Vol. 118, No. 2, pp. 318-331. crossref(new window)

2.
Balqies, S. and Omar, A.-B. (2007). "LBS and GIS technology combination and applications." AICCSA '07. IEEE/ACS International Conference on, Computer Systems and Applications, pp. 578-583.

3.
Cheng, Z., eAmin, H. and Homam, B. (2009). "Collaborative multi-agent systems for construction equipment based on real-time field data capturing." ITcon, Vol. 14, Special Issue, pp. 204-228.

4.
Easa, S. M. (1988). "Improved method for locating centroid of earthwork." Journal of Surveying Engineering, ASCE, Vol. 114, No. 1, pp. 13-25. crossref(new window)

5.
Kim, S. K. and Russell, J. S. (2003b). "Framework for an intelligent earthwork system: Part II. Task identification/scheduling and resource allocation methodology." Automation in Construction, Vol. 12, No. 1, pp. 15-27. crossref(new window)

6.
Marzouk, M. and Moselhi, O. (2004). "Fuzzy clustering model for estimating haulers' travel time." Journal of Construction Engineering and Management, ASCE, Vol. 130, No. 6, pp. 878-886. crossref(new window)

7.
Moselhi, O. and Alshibani, A. (2009). "Optimization of earthmoving operations in heavy civil engineering projects." Journal of Construction Engineering and Management, ASCE, Vol. 135, No. 10, pp. 948-954. crossref(new window)

8.
Jeong, M. G., Kim, C. S., Kang, B. S. and Kim, J. W. (2000). "The design of control system for mobile objects using the GPS / GIS and wireless communication." Korea Information Science Society, Vol. 27, No. 1, pp. 289-291.

9.
Smith, S. (1999). "Earthmoving productivity estimation using linear regression techniques." Journal of Construction Engineering and Management, ASCE, Vol. 125, No. 3, pp. 131-141.

10.
Guionmet, T., Guilemost, C. and Pateux, S. (2001). "Embedded multiple description cording for progressive image transmission over unrelizble channels." Proc IEEE Trans., pp. 1005-1008.

11.
Tam, C. M., Tong, T. L. and Wong, B. L. (2007). "An integrated system for earthmoving planning." Journal of Construction Management and Economics, ASCE, Vol. 25, pp. 1125-1135.

12.
Yoon, J. G. and Han, K. J. (2002). "Develop of LBS (Loaction Based Service)." The Magazine of the IEEK 29(12), The Institute of Electronics Engineers of Korea, Vol. 29, No. 12, pp. 21-30.

13.
Zhang, H. (2008). "Multi-objectives simulation-optimization for earthworkmoving operations." Automation in Construction, Vol. 18, No. 1, pp. 78-86.