SciELO - Scientific Electronic Library Online

 
vol.115 número6Integration of imprecise and biased data into mineral resource estimatesQ-coda estimation in the Kaapvaal Craton índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • En proceso de indezaciónSimilares en Google

Compartir


Journal of the Southern African Institute of Mining and Metallurgy

versión On-line ISSN 2411-9717

Resumen

HAGER, J.; YADAVALLI, V.S.S.  y  WEBBER-YOUNGMAN, R.. Stochastic simulation for budget prediction for large surface mines in the South African mining industry. J. S. Afr. Inst. Min. Metall. [online]. 2015, vol.115, n.6, pp. 531-539. ISSN 2411-9717.

This article investigates the complex problem of a budgeting process for a large mining operation. Strict adherence to budget infers that financial results align with goals. In reality, the budget is not a predetermined entity but emerges as the sum of the enterprise's operational plans. These are highly interdependent, being influenced by unforeseeable events and operational decision-making. Limitations of stochastic simulations, normally applied in the project environment but not in budgeting, are examined and a model enabling their application is proposed. A better understanding of budget failure in large mines emerges, showing that the budget should be viewed as a probability distribution rather than a single deterministic value. The strength of the model application lies with the combining of stochastic simulation, probability theory, financial budgeting, and practical scheduling to predict budget achievement, reflected as a probability distribution. The principal finding is the interpretation of the risk associated with, and constraints pertaining to, the budget. The model utilizes a four-dimensional (space and time) schedule, linking key drivers through activity-based costing to the budget. It offers a highly expressive account of deduction regarding fund application for budget achievement, emphasizing that 'it is better to be approximately right than precisely wrong'.

Palabras clave : probabilistic logic; Monte Carlo; simulation; NPV; budget.

        · texto en Inglés     · Inglés ( pdf )