Abstract
Computing the productivity of a dozer involves correcting a set of multivariate values. The existing dozer-productivity computation models utilize unique sets of input variables, formulae, and experimental data. However, these are considered appropriate only for performing comparative studies, not for obtaining a precise productivity value. With a set of input variables obtainable from a job site, it is important for an earthwork manager to quickly identify a model that computes the dozing productivity and to compute the productivity by implementing the model. Expediting the productivity computation intertwines with the determination of eco-dozing performance, which relates to the fuel consumption per unit earthwork production. This paper presents a dozer-productivity correction method (DPCM) that computes the variations between the existing productivity models. This method can determine the sensitivity in selecting a model to compute the productivity. This study is of value to researchers because it considers the productivity-correction factors exhaustively and consistently while expediting the computation. It is also of relevance to earthwork managers because it illustrates the variability in the outputs from different models. Hence, it facilitates the estimation of fuel efficiency of a dozing operation. The test case verifies the validity of the computational method.
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This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. NRF-2018R1A5A1025137).
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Kim, RH., Park, YJ. & Lee, DE. Dozer Productivity Correction Method for Eco-Dozing Assessment. KSCE J Civ Eng 23, 2829–2838 (2019). https://doi.org/10.1007/s12205-019-0180-5
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DOI: https://doi.org/10.1007/s12205-019-0180-5