Abstract:
Productivity of construction equipment refers to the value of work done in a period as a piece
of individual equipment or as a fleet of equipment. Estimating the actual productivity of
construction equipment requires tracking and monitoring. Manual data collection methods and
data input procedures restrict access to precise and real-time performance data. This limitation
creates a need for GPS tracking, eliminating human reporting errors and increasing
productivity. GPS-based equipment tracking and monitoring systems are more efficient than
traditional performance estimating systems on productivity assessment. Therefore, the main
objectives of this study will be to i) Identify current issues in tracking and monitoring the
construction equipment, ii) Investigate the tracking and monitoring information needed to
enhance the productivity of construction equipment, and iii) Analyse the impact of GPS
monitoring systems on the productivity of construction equipment. Relatively important issues
in construction equipment tracking and monitoring were prioritized based on questionnaire
responses. Using relative important index, tracking information needed to enhance
productivity was prioritized based on questionnaire responses. The current equipment
monitoring process of the selected construction company for the dump trucks was mapped and
analyzed. The production of the dump truck is based on truckload, the number of trucks used
for the operation, truckload time, truck haul time, dump time, and return time. The areas for
process improvement for the dump trucks were identified using the prioritized outputs of the
GPS monitoring system, which are machine location tracking, fuel consumption, trip history,
idling trends, and route optimization. Finally, realistic recommendations for identified issues
and future developments were suggested.
Citation:
Bogahawatta, J.R.M. (2022). Using GPS monitoring system to enhance productivity of construction equipment in large - scale construction companies in Sri Lanka [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/21614