Stochastic Mine Planning—Example and Value from Integrating Long- and Short-Term Mine Planning Through Simulated Grade Control, Sunrise Dam, Western Australia

Jewbali, A.; Dimitrakopoulos, Roussos

doi:10.1007/978-3-319-69320-0_13

Cited by 7 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dimitrakopoulos and Jewbali (2013) and Jewbali and Dimitrakopoulos (2018) proposed a multi-stage planning process considering short-term variability in long-term planning. Short-term schedules deviate from long-term plans due to insufficient grade control data.…”

Section: Review Of Short-term Mine Planningmentioning

confidence: 99%

Review of recent developments in short-term mine planning and IPCC with a research agenda

Habib

Ben-Awuah

Askari–Nasab

2023

Mining Technology: Transactions of the Institutions of Mining a

View full text Add to dashboard Cite

In-Pit Crushing and Conveying (IPCC) has gained momentum in recent years to replace trucks partially or fully in large open pit mines because of the shovel-truck system's increasing fuel and labour costs and conveyor systems' low operating costs and less greenhouse gas emissions. This article reviews the most recent literature since 2010 on short-term planning, based on different formulation and solution approaches, and IPCC, based on primary objectives such as optimum crusher location, economic/environmental comparison etc., to find the research gaps and future research opportunities in short-term planning with IPCC. The review reveals that hardly any short-term planning model can generate mine extraction sequences with IPCC integration. Therefore, a short-term planning methodology considering the IPCC system would be a pioneering step in the mine planning literature. Hence, the authors propose a theoretical short-term planning framework with IPCC as a future research direction.

show abstract

Section: Review Of Short-term Mine Planningmentioning

confidence: 99%

Review of recent developments in short-term mine planning and IPCC with a research agenda

Habib

Ben-Awuah

Askari–Nasab

2023

Mining Technology: Transactions of the Institutions of Mining a

View full text Add to dashboard Cite

show abstract

“…Therefore, the optimum blending plan is affected by the uncertainties of geological and chemical properties of the ore. Short-term planning in open pit mines has been studied by many researchers (Splaine et al, 1972;Wilke and Reimer, 1979;Zhang et al, 1992). Some researchers have incorporated the effect of uncertainties in short-term planning (Smith and Dimitrakopoulos, 1999;Kumral and Dowd, 2002;Fioroni, Bianchi, and Luiz, 2008;Gamache, Hébert, and Desaulniers, 2009;Jewbali and Dimitrakopoulos, 2009;Asad, 2010;Gholamnejad, 2008;Souza et al, 2010;Askari-Nasab et al, 2011;Eivazy and Askari-Nasab, 2012;Montiel and Dimitrakopoulos, 2015;Osanloo and Rahmanpour, 2017). They applied a variety of mixed integer linear programming models, Lagrangian parameterization, simulation, linear programming (LP), and heuristic models.…”

mentioning

confidence: 99%

Application of fuzzy linear programming for short-term planning and quality control in mine complexes

Rahmanpour¹

2017

J. South. Afr. Inst. Min. Metall.

View full text Add to dashboard Cite

A strategic mine plan sets the overall objectives of a mining project. Mine planning is a multidisciplinary process and its aim is to develop the life-of-mine extraction plan to meet some predefined goals (Dagdelen, 2007;Henderson and Turek, 2013). Mine plans are classified into long-, medium-, and short-term plans. Normally, these plans are organized such that the mining operations achieve the highest cash flow or net present value (Heureux, Gamache, and Soumis, 2013;Juarez et al., 2014;King, 2014). These plans should consider capacities, blending requirements, block sequencing, reclamation requirements, pit slope, and any other constraints that may exist in each particular mine site (Caccetta and Hill, 2003).However, many problems in the field of mining engineering are characterized by insufficient and incomplete data. The stochastic and uncertain nature of geological, technological, market, political, and ecological factors are inherent in the context of mining engineering. For example, the dynamic change of ore and waste material due to the presence of spatial grade uncertainty makes predictions of the optimal mining sequence a challenging task (Godoy and Dimitrakopoulos, 2004;Azimi, Osanloo, and Esfahanipour, 2013;Rahmanpour and Osanloo, 2016a). These uncertainties highlight the importance of careful and risk-based mine planning through the development of new production planning models (Osanloo, Gholamnejad, and Karimi, 2008;Newman et al., 2010).Long-term plans outline the strategies to achieve a company's goals (the highest net present value, for instance). Short-term plans are aimed at following the strategies of the long-term plan, and the other objective of short-term plans is to minimize operating costs as much as possible. For this purpose, engineers try to find a reliable system with minimal cost (Levitin and Lisnianski, 2001;Rahmanpour and Osanloo, 2016b). Modern and successful production systems are characterized by high productivity, full utilization of resources, flexibility, and reliability. These characteristics enable an operating system to adapt to changing conditions. In any mining operation, ore is mined from different blocks and is hauled to predetermined destinations based on its chemical or mineralogical properties. Mining operations obtain the desired quality of the plant feed by blending ore of different qualities. The same practice is applied in a mine complex where the ore is sourced from different mines and has different chemical and physical characteristics (Figure 1).Since ore properties can vary considerably, blending is a prerequisite in order to obtain a consistent feed to the processing plant. The run-of-mine quality depends on the quality and quantity of ore mined from each face. Uncertainty is the state of having limited knowledge to perform a task. During feasibility studies, the precise values of all the input parameters are not known. Normally, Application of fuzzy linear programming for short-term planning and quality control in mine complexes by M. Rahmanpour and M. Osa...

show abstract

Evaluation Method in Multiple Scenarios by Means of Datamine Applying the Law of Variable Cutting in Optimization of the NPV in Open Pit

Flores-Zuniga

Rivera-Ascencios

Alayo-Leon

et al. 2021

Advances in Manufacturing, Production Management and Process Control

View full text Add to dashboard Cite

Stochastic Mine Planning—Example and Value from Integrating Long- and Short-Term Mine Planning Through Simulated Grade Control, Sunrise Dam, Western Australia

Cited by 7 publications

References 9 publications

Review of recent developments in short-term mine planning and IPCC with a research agenda

Review of recent developments in short-term mine planning and IPCC with a research agenda

Application of fuzzy linear programming for short-term planning and quality control in mine complexes

Evaluation Method in Multiple Scenarios by Means of Datamine Applying the Law of Variable Cutting in Optimization of the NPV in Open Pit

Contact Info

Product

Resources

About