Comparative assessment of deterministic methodologies for estimating excavation productivity
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Published:2023-01-01
Issue:1
Volume:15
Page:63-78
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ISSN:1847-6228
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Container-title:Organization, Technology and Management in Construction: an International Journal
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language:en
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Short-container-title:
Author:
Panas Antonios1, Pantouvakis John-Paris1, Kalogiannaki Maria2
Affiliation:
1. National Technical University of Athens: Ethniko Metsobio Polytechneio Athens , Athens , Greece 2. Maria Kalogiannaki, Hellenic Open University , Athens , Greece
Abstract
Abstract
This paper investigates the prediction capability of deterministic methodologies in estimating construction productivity for earthmoving operations. Published literature includes several estimation methodologies stemming from (a) equipment manufacturers’ manuals, (b) editions from German contractors’ associations or individual researchers and (c) textbook editions. The purpose of this research is to assess the yielded productivity estimation results under the prism of 14 estimation methodologies. It is – to the authors’ best knowledge – the first research attempt for the comparative evaluation of such a diverse set of estimation methodologies, with the aim of quantifying their effects on the operations analysis in earthmoving works. A uniform mathematical modelling approach is used to formulate the relevant estimation equations and, subsequently, a real-case scenario of an earthmoving project in Greece is used as a benchmark against which the robustness of each methodology is assessed. A sensitivity analysis on main productivity factors concludes the research. The preliminary results indicate that equipment manufacturers’ methods are more optimistic and present higher sensitivity to specific productivity factors (e.g. swing angle, excavation depth), whereas the German-oriented approaches are more conservative with less variability due to differing productivity factors.
Publisher
Walter de Gruyter GmbH
Subject
Management of Technology and Innovation,Organizational Behavior and Human Resource Management,Strategy and Management,Building and Construction,Civil and Structural Engineering
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