Feasibility Study of Investment in New Conveyor Facility for CHF Supply Power Plant ABC PT XYZ
Abstract
PLTU ABC is a coal-fired steam power plant that receives its coal supply from PT XYZ. At present, coal delivery relies on a single conveyor system with a capacity of 1,200 tons per hour. Since PT XYZ supplies coal based on the power plant’s demand, the conveyor must remain operational 24 hours a day. Any unplanned maintenance on the conveyor can disrupt supply and result in lost electricity production. Monthly coal delivery targets have been established, necessitating alternative delivery methods in case the conveyor system fails. Three alternative solutions have been identified: leasing a temporary conveyor, investing in a new conveyor system, or switching to direct coal delivery via trucks. The capital expenditure estimates are based on historical purchase data, adjusted for inflation over the past five years. The financial analysis indicates that direct truck delivery offers the highest return on investment and stronger cash flow compared to either leasing or constructing a new conveyor system. The project’s financial metrics include a Net Present Value (NPV) of IDR 51.22 billion, an Internal Rate of Return (IRR) of 60.13%, a Modified Internal Rate of Return (MIRR) of 24.54%, and a payback period of 1.55 years. Further validation using sensitivity analysis, scenario analysis, and Monte Carlo simulations showed that the probability of achieving a positive NPV (NPV > 0) is 65%. Based on these findings, it is concluded that direct delivery by trucks is more financially viable than investing in or leasing conveyor facilities.
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References
Breitschopf, B., & Alexander-Haw, A. (2022). Auctions, risk and the WACC: How auctions and other risk factors impact renewable electricity financing costs. Energy Strategy Reviews, 44, 100983. https://doi.org/10.1016/j.esr.2022.100983
Chen, J. (2021). On the theoretical foundation of corporate finance. Structural Change and Economic Dynamics, 59, 256–262. https://doi.org/10.1016/j.strueco.2021.06.008
Coulton, J. J., & Saune, N. (2022). Are analysts' cash flow forecasts associated with improved earnings quality? Australian evidence. Pacific-Basin Finance Journal, 73, 101758. https://doi.org/10.1016/j.pacfin.2022.101758
Dranka, G. G., Oliveira, G. A., Ferreira, P., de Lima, J. D., Setti, D., Trentin, M. G., & Sieminkoski Sirota, T. R. (2025). Towards a rational framework for economic and risk assessment of energy efficiency projects. Sustainable Energy Technologies and Assessments, 73, 104090. https://doi.org/10.1016/j.seta.2024.104090
Gajek, L., & Kuciński, Ł. (2017). Complete discounted cash flow valuation. Insurance: Mathematics and Economics, 73, 1–19. https://doi.org/10.1016/j.insmatheco.2017.01.002
Ghiami, Y. (2023). An analysis on production and inventory models with discounted cash-flows. Omega, 117, 102847. https://doi.org/10.1016/j.omega.2022.102847
Giani, M., Walker, M., Neubauer, M., Frank, N., Wiener, P., & Verl, A. (2024). A sensitivity analysis approach to reduce economic risks in the design of edge-cloud automation systems in industry. Procedia CIRP, 128, 526–531. https://doi.org/10.1016/j.procir.2023.10.083
He, W., Lin, Z., Li, W., Wong, C. J., Kong, D., & Loh, W. M. E. (2025). The comprehensive safety assessment method for complex construction crane accidents based on scenario analysis – A case study of crane accidents. Computers & Industrial Engineering, 199, 110716.
https://doi.org/10.1016/j.cie.2024.110716
Liu, M., & Liu, X. (2019). Profit-driven stochastic scheduling considering discounted cash flows under Industry 4.0. IFAC PapersOnLine, 52(13), 2122–2127. https://doi.org/10.1016/j.ifacol.2019.11.518
Magni, C. A. (2015). Investment, financing, and the role of ROA and WACC in value creation. European Journal of Operational Research, 244(3), 855–866.
https://doi.org/10.1016/j.ejor.2014.12.027
Masaki, M. S., Zhang, L., & Xia, X. (2017). A comparative study on the cost-effective belt conveyors for bulk material handling. Energy Procedia, 142, 2754–2760. https://doi.org/10.1016/j.egypro.2017.12.409
Mitropoulos, L. K., Prevedouros, P. D., Yu, X. (A.), & Nathanail, E. G. (2017). 3rd Conference on Sustainable Urban Mobility, 3rd CSUM 2016, 26–27 May 2016, Volos, Greece. Transportation Research Procedia, 24, 296–303. https://doi.org/10.1016/j.trpro.2017.05.120
Pan, K., Liu, B., Luo, J., Wang, Q., & Li, J. (2024). Carbon peak prediction for differentiated cities from a low-carbon perspective: Key factors, scenario analysis, and low-carbon pathways. Ecological Indicators, 167, 112629. https://doi.org/10.1016/j.ecolind.2024.112629
Ripa, M., Cadillo-Benalcazar, J. J., & Giampietro, M. (2021). Cutting through the biofuel confusion: A conceptual framework to check the feasibility, viability, and desirability of biofuels. Energy Strategy Reviews, 35, 100642. https://doi.org/10.1016/j.esr.2021.100642
Suárez Nieto, L., Fidalgo Valverde, G., Iglesias Rodríguez, F. J., Krzemień, A., & Riesgo Fernández, P. (2024). Economic risks in mining investments: A prospective analysis of capital cost estimation in copper mining projects. Resources Policy, 99, 105427. https://doi.org/10.1016/j.resourpol.2024.105427
Ullah, S., Irfan, M., Kim, J. R., & Ullah, F. (2023). Capital expenditures, corporate hedging, and firm value. The Quarterly Review of Economics and Finance, 87, 360–366. https://doi.org/10.1016/j.qref.2021.10.008
Wach, M., & Chomiak-Orsa, I. (2021). The application of predictive analysis in decision-making processes on the example of mining company's investment projects. Procedia Computer Science, 192, 5058–5066. https://doi.org/10.1016/j.procs.2021.09.277
Wang, J., Fan, W., & Wang, Z. (2024). Tax incentives and earnings management: A study based on accelerated depreciation policy in China. Economic Analysis and Policy, 81, 281–296. https://doi.org/10.1016/j.eap.2023.10.012
Weldegiorgis, F. S. (2025). Australian coal mining and economic diversification in the energy transition context. Resources Policy, 100, 105429.
https://doi.org/10.1016/j.resourpol.2024.105429
Zhang, Y., Tian, Z., Jiang, K., Hillmansen, S., & Roberts, C. (2024). Local and global sensitivity analysis for railway upgrading between hydrogen fuel cell and electrification. High-speed Railway. https://doi.org/10.1016/j.hsr.2024.100073
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