| Title |
Validating Dozer Productivity Computation Models |
| Authors |
김율희(Kim, Ryul-Hee) ; 박영준(Park, Young-Jun) ; 이동은(Lee, Dong-Eun) |
| DOI |
https://doi.org/10.12652/Ksce.2019.39.4.0531 |
| Keywords |
도저;생산성;연산모형;비교검증 Dozer;Productivity;Computational model;Comparative verification |
| Abstract |
Existing dozer productivity computation models use different input variables, formulas, productivity correction factors, and experimental data source. This paper presents a method that characterizes the productivity outputs obtained by the PLS model and the Caterpillar model that are accepted as industry standards. The method identifies the input variables to be collected from the site, the performance charts to be referenced, and the formulas and implements them in a single computational tool. This study verifies that the PLS model may replace the manual computational process of Caterpillar model by eliminating reliance on graphics manipulation. Replacing the Caterpillar model with the PLS model and implementing the process as a function contributes to assess the productivity of a dozer timely by encouraging to utilize real-time information collected directly from the site. This study allows researchers and practitioners to effectively deal with the values of productivity correction factors collected from the job site and to control the productivity. The practicality and effectiveness of the method have been validated by applying to a project case. |