ECONOMIC FEASIBILITY ASSESSMENT OF BULLDOZER REPLACEMENT: A LIFE CYCLE COST ANALYSIS APPROACH

Authors

  • Shaumi Novila Asri Institut Teknologi Bandung
  • Oktova Yudha Sudrajad Institut Teknologi Bandung

DOI:

https://doi.org/10.31539/xzafcv83

Keywords:

Asset Replacement, Life Cycle Cost, Equivalent Uniform Annual Cost, Mining Equipment, Cost Efficiency

Abstract

Coal mining operations are highly dependent on the reliability of heavy equipment to ensure the smooth flow of materials from production areas to delivery facilities. In the stockpile area of PT XYZ, bulldozers play a crucial role in coal dozing, spreading, and leveling activities that support supply to the Train Loading Station (TLS). High operating intensity and abrasive environmental conditions accelerate component wear, increasing the risk of performance degradation. Historical data indicate an upward trend in maintenance costs and bulldozer downtime frequency, which negatively affects cost efficiency and operational reliability. To date, PT XYZ does not have a structured quantitative policy to determine the optimal timing for heavy equipment replacement, resulting in largely reactive replacement decisions that may lead to cost overruns and disruptions to coal delivery schedules. This study aims to evaluate the economic feasibility of bulldozer replacement in the stockpile area of PT XYZ using a techno-economic approach. A deterministic case study method is applied using operational and maintenance data from 2019–2025, along with five-year cost projections. The analysis employs Life Cycle Cost Analysis (LCCA) and Equivalent Uniform Annual Cost (EUAC), with future cash flows discounted using the company’s Weighted Average Cost of Capital (WACC). The results show that although the existing unit exhibits declining annual capital costs, rising maintenance costs result in higher and more volatile total annual costs. In contrast, the new unit demonstrates lower and more stable EUAC, indicating that bulldozer replacement is the most economically efficient alternative.

References

Alarcón, L. F., Rodríguez, A. and Mourgues, C. (2012) “Impact of Machine-Failure Costs on Equipment Replacement Policies: Tunneling Company Case Study,” Journal of Construction Engineering and Management, 138(6), pp. 767–774. Available at: https://doi.org/10.1061/(asce)co.1943-7862.0000480.

Al-Chalabi, H. (2022) “Development of an economic replacement time model for mining equipment: a case study,” Life Cycle Reliability and Safety Engineering, 11(2), pp. 203–217. Available at: https://doi.org/10.1007/s41872-022-00188-1.

Babusiaux, D. and Pierru, A. (2001) “Capital budgeting, investment project valuation and financing mix: Methodological proposals,” European Journal of Operational Research, 135(2), pp. 326–337. Available at: https://doi.org/10.1016/S0377-2217(01)00044-3.

Bengtsson, M. and Kurdve, M. (2016) “Machining Equipment Life Cycle Costing Model with Dynamic Maintenance Cost,” in Procedia CIRP. Elsevier B.V., pp. 102–107. Available at: https://doi.org/10.1016/j.procir.2016.03.110.

Bugarić, U. et al. (2024) “A risk evaluation of bulldozer downtimes and its economic justification in open-pit mines,” Centre for Evaluation in Education and Science (CEON/CEES), pp. 122–131. Available at: https://doi.org/10.5937/imcsm24012b.

Castañón, A. M., Gutiérrez-Diez, J. C. and Bascompta, M. (2024) “Analysis of the mining equipment replacement time. A case study focused on drilling rig,” Results in Engineering, 24. Available at: https://doi.org/10.1016/j.rineng.2024.103057.

Cesca, I. G. and Novaes, D. D. (2012) “Physical assets replacement: an analytical approach.” Available at: http://arxiv.org/abs/1210.3678.

Collier, C. A., Asce, M. and Jacques, D. E. (no date) Optimum Equipment Life by Minimum Life-Cycle Costs.

Dobrowolski, Z. et al. (2022) “The Weighted Average Cost of Capital and Its Universality in Crisis Times: Evidence from the Energy Sector,” Energies, 15(18). Available at: https://doi.org/10.3390/en15186655.

Febrianto, A. et al. (2025) “Operational efficiency and sustainable asset management of heavy equipment in industry: a data-driven framework,” Results in Engineering, 27. Available at: https://doi.org/10.1016/j.rineng.2025.106476.

Frank, M. Z. and Shen, T. (2016) “Investment and the weighted average cost of capital,” Journal of Financial Economics [Preprint]. Available at: https://doi.org/10.1016/j.jfineco.2015.09.001.

Gransberg, D. D. (2015) Major Equipment Life-Cycle Cost Analysis. Available at: http://www.lrrb.org/pdf/201516.pdf.

Huang, Z. et al. (2021) “An improved stochastic life-cycle cost analysis model for examining the impact of environmental policy instruments on construction equipment replacement,” Environmental Impact Assessment Review, 90, p. 106627. Available at: https://doi.org/10.1016/J.EIAR.2021.106627.

Khan, U. et al. (2023) “Life cycle cost analysis (LCCA) of Stirling-cycle-based heat pumps vs. conventional boilers,” Cleaner Environmental Systems, 8. Available at: https://doi.org/10.1016/j.cesys.2022.100105.

Kheirkhah, P. et al. (2018) Determining Economic Life of Earth Moving Equipment by Using Life Cycle Cost Analysis: Case Study. Available at: www.ravanshadnia.com.

Kowalski, A. and Blichtarski, M. (2019) “The method of determining the optimal life cycle of the mining machine,” in IOP Conference Series: Materials Science and Engineering. IOP Publishing Ltd. Available at: https://doi.org/10.1088/1757-899X/679/1/012015.

Pierru, A. (2009) “‘The weighted average cost of capital is not quite right’: A comment,” The Quarterly Review of Economics and Finance, 49(3), pp. 1219–1223. Available at: https://doi.org/10.1016/J.QREF.2008.08.002.

Samatemba, B., Zhang, L. and Besa, B. (2020) “Evaluating and optimizing the effectiveness of mining equipment; the case of Chibuluma South underground mine,” Journal of Cleaner Production, 252. Available at: https://doi.org/10.1016/j.jclepro.2019.119697.

Downloads

Published

2026-01-30