Estimating capital and operational costs of backhoe shovels
Material loading is one of the most critical operations in earthmoving projects. A number of different equipment is available for loading operations. Project managers should consider different technical and economic issues at the feasibility study stage and try to select the optimum type and size of...
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Format: | Article |
Language: | English |
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Vilnius Gediminas Technical University
2012-06-01
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Series: | Journal of Civil Engineering and Management |
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Online Access: | http://journals.vgtu.lt/index.php/JCEM/article/view/4461 |
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author | Ahmad Reza Sayadi Ali Lashgari Mohammad Majid Fouladgar Miroslaw J. Skibniewski |
author_facet | Ahmad Reza Sayadi Ali Lashgari Mohammad Majid Fouladgar Miroslaw J. Skibniewski |
author_sort | Ahmad Reza Sayadi |
collection | DOAJ |
description | Material loading is one of the most critical operations in earthmoving projects. A number of different equipment is available for loading operations. Project managers should consider different technical and economic issues at the feasibility study stage and try to select the optimum type and size of equipment fleet, regarding the production needs and project specifications. The backhoe shovel is very popular for digging, loading and flattening tasks. Adequate cost estimation is one of the most critical tasks in feasibility studies of equipment fleet selection. This paper presents two different cost models for the preliminary and detailed feasibility study stages. These models estimate the capital and operating cost of backhoe shovels using uni-variable exponential regression (UVER) as well as multi-variable linear regression (MVLR), based on principal component analysis. The UVER cost model is suitable for quick cost estimation at the early stages of project evaluation, while the MVLR cost function, which is more detailed, can be useful for the feasibility study stage. Independent variables of MVLR include bucket size, digging depth, dump height, weight and power. Model evaluations show that these functions could be a credible tool for cost estimations in prefeasibility and feasibility studies of mining and construction projects. |
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format | Article |
id | doaj.art-14870d6f725147768fbcb238061874f8 |
institution | Directory Open Access Journal |
issn | 1392-3730 1822-3605 |
language | English |
last_indexed | 2024-12-20T23:42:35Z |
publishDate | 2012-06-01 |
publisher | Vilnius Gediminas Technical University |
record_format | Article |
series | Journal of Civil Engineering and Management |
spelling | doaj.art-14870d6f725147768fbcb238061874f82022-12-21T19:23:02ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052012-06-0118310.3846/13923730.2012.692705Estimating capital and operational costs of backhoe shovelsAhmad Reza Sayadi0Ali Lashgari1Mohammad Majid Fouladgar2Miroslaw J. Skibniewski3Department of Mining Engineering, Tarbiat Modares University, Tehran, IranDepartment of Mining Engineering, Tarbiat Modares University, Tehran, IranGraduated from Tarbiat Modares University, Fateh Research Group, Tehran, IranDepartment of Management, Bialystok University of Technology, 16-001 Kleosin, PolandMaterial loading is one of the most critical operations in earthmoving projects. A number of different equipment is available for loading operations. Project managers should consider different technical and economic issues at the feasibility study stage and try to select the optimum type and size of equipment fleet, regarding the production needs and project specifications. The backhoe shovel is very popular for digging, loading and flattening tasks. Adequate cost estimation is one of the most critical tasks in feasibility studies of equipment fleet selection. This paper presents two different cost models for the preliminary and detailed feasibility study stages. These models estimate the capital and operating cost of backhoe shovels using uni-variable exponential regression (UVER) as well as multi-variable linear regression (MVLR), based on principal component analysis. The UVER cost model is suitable for quick cost estimation at the early stages of project evaluation, while the MVLR cost function, which is more detailed, can be useful for the feasibility study stage. Independent variables of MVLR include bucket size, digging depth, dump height, weight and power. Model evaluations show that these functions could be a credible tool for cost estimations in prefeasibility and feasibility studies of mining and construction projects.http://journals.vgtu.lt/index.php/JCEM/article/view/4461loading equipmentbackhoe shovelcost estimationmulti-variable linear regressionprincipal component analysismining and construction |
spellingShingle | Ahmad Reza Sayadi Ali Lashgari Mohammad Majid Fouladgar Miroslaw J. Skibniewski Estimating capital and operational costs of backhoe shovels Journal of Civil Engineering and Management loading equipment backhoe shovel cost estimation multi-variable linear regression principal component analysis mining and construction |
title | Estimating capital and operational costs of backhoe shovels |
title_full | Estimating capital and operational costs of backhoe shovels |
title_fullStr | Estimating capital and operational costs of backhoe shovels |
title_full_unstemmed | Estimating capital and operational costs of backhoe shovels |
title_short | Estimating capital and operational costs of backhoe shovels |
title_sort | estimating capital and operational costs of backhoe shovels |
topic | loading equipment backhoe shovel cost estimation multi-variable linear regression principal component analysis mining and construction |
url | http://journals.vgtu.lt/index.php/JCEM/article/view/4461 |
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