Fuzzy linear model for production optimization of mining systems with multiple entities

Vujić, S.; Benović, Tomo; Miljanović, Igor; Hudej, Marjan; Milutinović, Aleksandar; Pavlović, Petar

doi:10.1007/s12613-011-0488-8

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…Asad (2011) used a heuristic approach to long-range production planning of a cement quarry when blending constraintswere taken into account. Additionally, other researchers such as Vujic et al (2011), Sari and Kumral (2015), Montiel and Dimitrakopoulos (2015), Goodfellow and Dimitrakopoulos (2016), Jelvez and et al (2016) and Lamghari and Dimitrakopoulos (2016), used heuristic and meta-heuristic approaches to solving production scheduling. Smith and Wicks (2014) use a mixed-integer program (MIP) that maximizes recovered copper and constraints including shovel, extraction and processing capacities, and blending were taken into account.…”

Section: Fig 1 Blending Sites and Possible Destinationsmentioning

confidence: 99%

Optimizing mine production scheduling for multiple destinations of ore blocks

Jamshidi

Osanloo

2018

Bangladesh J. Sci. Ind. Res.

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In multi-element deposits, the quality of mining production is impressed by multiple inter-correlated elements and there is an essential task of blending the run-of-mine materials in such a way that the resulting mix meets the required specifications. Generally, blending plans are established based on one destination for products, but blending allows mixing different material and achieving to a wide range of quality. Then, it is possible to consider multiple destinations for mine product. In this paper, a Mixed Integer Programming model is developed for production scheduling of an iron ore mine regarding four different destinations. As the iron ore mines could be considered as direct-shipping ore, in this model, the effect of enrichment unit is investigated by six different scenarios based on different cut-off grades. Performing a sensitivity analysis on cut-off grades would distinguish whether the block should go to enrichment unit before blending or participate in blending plan directly. The result of running the model in the case of four destinations is compared to the case that only one destination is considered. The highest NPV in the case of four destinations is about 25% more than the highest NPV of the case that only one destination is considered.Bangladesh J. Sci. Ind. Res.53(2), 99-110, 2018

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Section: Fig 1 Blending Sites and Possible Destinationsmentioning

confidence: 99%

Optimizing mine production scheduling for multiple destinations of ore blocks

Jamshidi

Osanloo

2018

Bangladesh J. Sci. Ind. Res.

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“…Several resource allocation models are applied to optimize mine production and improve economic efficiency. A fuzzy linear programming optimization model of multiple deposit mining systems was presented to seek the optimal plan of production, which was applied in the Bauxite Basin Niksic with five deposits [24]. Rahmanpour and Osanloo formulated a fuzzy linear programming model to optimize short-term mine production planning.…”

Section: Introductionmentioning

confidence: 99%

Production Strategy Optimization of Integrated Exploitation for Multiple Deposits Considering Carbon Quota

Hou

et al. 2023

Sustainability

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Nowadays, the mining industry actively advocates and practices the concept of green and integrated exploitation to realize the sustainable development of resources with low-carbon emissions. The certain carbon quota for mining companies limits the production capacity and resource utilization efficiency. The integrated exploitation of multiple deposits could coordinate resource allocation and operation facilities, which would reduce capital expenditure and operating costs for the mining company from a systematic perspective. In this condition, some deposits located nearby could be treated as one entity to make plans and optimize. An optimization framework is proposed based on the analysis of the characteristics and advantages of integrated exploitation. A new mathematical programming model is presented to optimize production capacity and extracted ore grade for each deposit considering constraints of maximum and minimum mining capacity, extracted ore grade and concentrated ore grade requirement, and metal output target, which has a significant influence on the economic benefit and resource utilization rate for a mining company. The model is verified using the data collected from three deposits of a gold mining company in China to demonstrate its ability to optimize the allocation of production capacity and improve the technical and economic effect of mining under the limitation of carbon quota. The sensitivity analysis of some key parameters is carried out to generate a series of integrated exploitation schemes under different production and operation conditions, which is useful for the mining company to make decisions in different situations.

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“…In addition, small deviations from the acceptable limits are allowed in FLP models, which leads to the determination of practical plans. FLP has been applied in a coal mine and in a bauxite mine for production scheduling (Pendharker, 1997;Vujic et al, 2011). These studies carried out a procedure based on sensitivity analysis and shadow prices to determine a reliable production schedule.…”

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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.

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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...

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Fuzzy linear model for production optimization of mining systems with multiple entities

Cited by 7 publications

References 5 publications

Optimizing mine production scheduling for multiple destinations of ore blocks

Optimizing mine production scheduling for multiple destinations of ore blocks

Production Strategy Optimization of Integrated Exploitation for Multiple Deposits Considering Carbon Quota

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

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