Journal of Engineering, Project, and Production Management, 2024, 14(3), 0026
Automated Tool for the Comparative Estimation of Earthmoving Productivity
1Civil Engineer, Ph.D., Centre
for Construction Innovation, National Technical University of Athens,
Zografou Campus, Iroon Polytechniou 9 str., 15780 Zografou, Athens,
E-mail: antpanas@gmail.com (corresponding author).
2FORTH Researcher, Hellenic Open University, Parodos
Aristotelous 18, 26335 Patra, Greece, E-mail: nikoskal@gmail.com
3Professor, Centre for Construction Innovation, National
Technical University of Athens, Zografou Campus, Iroon Polytechniou 9
str., 15780 Zografou, Athens, E-mail: jpp@central.ntua.gr.
Project Management
Received May 26,2023; received revision December 23, 2023; accepted November 8, 2023
Available online September 27, 2024
Abstract: This paper presents an automated tool for comparative estimates of earthmoving productivity, focusing on excavation operations. The developed system includes three modules (computational, data storage, operational) and a series of forms that estimate construction productivity for three types of equipment (excavator, loader, truck) based on fourteen estimation methodologies. To the authors’ best knowledge, it is the first research attempt at developing an automated tool based on the comparative evaluation of such a diverse set of estimation methodologies. All system components have been developed in a Microsoft (MS) environment, thus taking advantage of their user-friendly nature. A numerical example corroborated the tool’s validity. Future research may optimize the module integrated into the developed application to assist construction estimators in reaching informed decisions when deploying critical project resources.
Keywords: Construction productivity, estimation, excavation, statistical analysis
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Citation: Panas, A., Kalaitzakis, N., and Pantouvakis, J. P. (2024). Automated Tool for the Comparative Estimation of Earthmoving Productivity. Journal of Engineering, Project, and Production Management, 14(3), 0026.
DOI:
10.32738/JEPPM-2024-0026
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