Abstract
In this research we propose to apply the qualitative evaluation technique by points to the factors that influence the price of gold. In addition, we will simulate the context of 2015, a year in which the price of gold reached historical lows, and at the same time, a period in which the analyzed company was going through a period of crisis when seeing that its valuation was affected by the devaluation of its reserves and growth of debts with suppliers. The research was carried out for the forecast of the price of gold, the general budget of the company, the budget in the mine operations area and the budget of the plant operations area, but for reasons of space in the development of the paper we will only show the development with the price of gold and the area of operations in the process plant.
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PMBOK® GUIDE: A Project Management Body of Knowledge, 6th edn. Project Management Institute (PMI) (2019)
Shirov, A.A.: De una crisis de mecanismos de financiación al crecimiento económico sostenible. Semental. Russ Econ. Dev. 27, 359–366 (2016). https://doi.org/10.1134/S1075700716040134
Reilly, J.: Megaprojects 50 Years, What Have We Learned? John Reilly International, USA (2016)
Korinek, J.: Trade restrictions on minerals and metals. Miner. Econ. 32(2), 171–185 (2018). https://doi.org/10.1007/s13563-018-0161-z
Lloyd, J.M., Ao, W.Y., Romana, A.K., Schwartz, E.L.: Methods in macroeconomic forecasting uncertainty analysis: an assessment of the 2015 National Defense Stockpile Requirements Report. Miner. Econ. 31(3), 269–281 (2018). https://doi.org/10.1007/s13563-017-0127-6
Griesel, L., Buxton, C., Adams, C., Berryman, T.: The Superpit schedule model – a time-efficient data-driven estimation for short- and medium-term planning. In: Ninth International Mining Geology Conference/Adelaide, SA, 18–20 August 2014
Humphreys, D.: The mining industry after the boom. Miner. Econ. 32(2), 145–151 (2018). https://doi.org/10.1007/s13563-018-0155-x
Lumley, G: Reducing project risk through fact-based mine planning. In: Project Evaluation Conference/Melbourne, VIC, 24–25 May 2012
Spitty, D.: Optimizing the “resource-to-market” supply chain by embracing variability. In: SME Annual Meeting, Salt Lake City, UT, 23–26 February 2014
Heugh, D.: BATMIN – business análisis tools for mining. In: Mine Planning and Equipment Selection (MPES) Conference, Fremantle, WA, 1–3 December 2010
Dietsche, E.: Balancing mining contracts and mining legislation: experiences and challenges. Miner. Econ. 32(2), 153–169 (2018). https://doi.org/10.1007/s13563-018-0156-9
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Pillpe-Garcia, C., Diaz-Huaina, G., Raymundo, C. (2022). Predictive Model Influenced by External Factors to Reduce Uncertainty in the Budget Forecast of a Gold Mining Company. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_114
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DOI: https://doi.org/10.1007/978-3-030-85540-6_114
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