scholarly journals Joint stochastic short-term production scheduling and fleet management optimization for mining complexes

2020 ◽  
Vol 21 (4) ◽  
pp. 1717-1743
Author(s):  
Christian Both ◽  
Roussos Dimitrakopoulos
Keyword(s):  
Stochastic Optimization ◽  
Production Scheduling ◽  
Planning Horizon ◽  
Open Pit ◽  
Open Pit Mining ◽  
Fleet Management ◽  
Production Schedule ◽  
Short Term ◽  
Term Extraction ◽  
Management Optimization

Abstract This article presents a novel stochastic optimization model that simultaneously optimizes the short-term extraction sequence, shovel relocation, scheduling of a heterogeneous hauling fleet, and downstream allocation of extracted materials in open-pit mining complexes. The proposed stochastic optimization formulation considers geological uncertainty in addition to uncertainty related to equipment performances and truck cycle times. The method is applied at a real-world mining complex, stressing the benefits of optimizing the short-term production schedule and fleet management simultaneously. Compared to a conventional two-step approach, where the production schedule is optimized first before optimizing the allocation of the mining fleet, the costs generated by shovel movements are reduced by 56% and lost production due to shovel relocation is cut by 54%. Furthermore, the required number of trucks shows a more balanced profile, reducing total truck operational costs by 3.1% over an annual planning horizon, as well as the required haulage capacity in the most haulage-intense periods by 25%. A metaheuristic solution method is utilized to solve the large optimization problem in a reasonable timespan.

Simultaneous stochastic optimization of production sequence and dynamic cut-off grades in an open pit mining operation

2020 ◽  
Vol 66 ◽  
pp. 101634 ◽  
Author(s):  
Amol Paithankar ◽  
Snehamoy Chatterjee ◽  
Ryan Goodfellow ◽  
Mohammad Waqar Ali Asad
Keyword(s):  
Stochastic Optimization ◽  
Mining Operation ◽  
Open Pit ◽  
Open Pit Mining ◽  
Production Sequence

scholarly journals Effectiveness of optimization strategies to improve productivity and safety in open pit mines: protocol for a systematic review

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Rania Rebbah ◽  
J. Duarte ◽  
J. Santos Baptista
Keyword(s):  
Optimization Problems ◽  
Selection Process ◽  
Mining Industry ◽  
Industrial Sector ◽  
Mine Planning ◽  
Open Pit ◽  
Open Pit Mining ◽  
Management Decision ◽  
Process Data ◽  
Short Term

Mining industry importance stems from the fact that it forms the basis of all materials used by humankind, including the agro-industrial sector, where products such as phosphates are behind a significant part of all modern agriculture. Despite its high economic importance, the constraints of its activity make it be considered one of the most challenging and dangerous industries. The main optimization problems in open pit mining design consist on the determination of the ultimate pit limit for exploitation, and mining block sequences for the production schedule, where safety management decision system needs to be integrated. The proposed protocol provides the procedure that will be used to conduct one or more systematic reviews according to the PRISMA statement, to prove the effectiveness of optimization solutions on open pit mining production and occupational safety. The search will be carried out in eight electronic engineering databases, using eight combinations of appropriate keywords for the topic to achieve the main goal. The selection process, data extraction, and data synthesis are described. advantages (improvement in mine planning and safety in the long and short term), the effectiveness of implementation (cost and time). Outcomes of this study will contribute to the mining industry through research in order to improve mine planning and safety in long term and short term.  

scholarly journals AUTOMATIC MUCK PILE CHARACTERIZATION FROM UAV IMAGES

2019 ◽  
Vol IV-2/W5 ◽  
pp. 163-170 ◽  
Author(s):  
F. Schenk ◽  
A. Tscharf ◽  
G. Mayer ◽  
F. Fraundorfer
Keyword(s):  
Production Scheduling ◽  
Multiple Scales ◽  
Expert Knowledge ◽  
User Interaction ◽  
Open Pit ◽  
Open Pit Mining ◽  
Accurate Information ◽  
Unseen Data ◽  
Bounding Boxes ◽  
Uav Images

<p><strong>Abstract.</strong> In open pit mining it is essential for processing and production scheduling to receive fast and accurate information about the fragmentation of a muck pile after a blast. In this work, we propose a novel machine-learning method that characterizes the muck pile directly from UAV images. In contrast to state-of-the-art approaches, that require heavy user interaction, expert knowledge and careful threshold settings, our method works fully automatically. We compute segmentation masks, bounding boxes and confidence values for each individual fragment in the muck pile on multiple scales to generate a globally consistent segmentation. Additionally, we recorded lab and real-world images to generate our own dataset for training the network. Our method shows very promising quantitative and qualitative results in all our experiments. Further, the results clearly indicate that our method generalizes to previously unseen data.</p>

Recommendations for Long-Term Operation of High-Performance Submersible Motor Pumps in Mine Dewatering

2020 ◽  
Author(s):  
David Beck ◽  
Sebastian Wulff ◽  
Paul Uwe Thamsen ◽  
Morris Reich ◽  
Jean Pierre Worringer
Keyword(s):  
High Performance ◽  
Initial Conditions ◽  
Mining Industry ◽  
Open Pit ◽  
Open Pit Mining ◽  
Short Term ◽  
Term Operation ◽  
Deep Wells ◽  
Submersible Motor

Abstract Modern submersible pumps are high performance aggregates for long-term operation, which find application in open-pit mining. Dewatering of groundwater to run an open-pit mine with various conditions for submersible pumps often leads to short-term performance based on different circumstances in the well as well as in the general operation. These result in high maintenance and energy costs and decreases the drawdown in open-pit mining. To ensure a long-time performance, a proper selection of submersible pump and motor is required. It is also necessary to consider the geometry of different deep wells in order to take into account the initial conditions of the pumps. This paper shows recommendations for long-term operation of high-performance submersible pumps due to the conditions of the mining industry. Therefore, a holistic consideration of the aggregate takes place to receive recommendations, which minimize the rate of pump failures and increase the efficiency of the dewatering process. These recommendations are based on various failures found during an investigation. Furthermore, this paper recommends different methods to prevent these failures, for instance clogging and erosion through particles in the well. These recommendations are linked to the research of different submersible motor pumps from various manufacturers in different wells in German open-pit mines with short-term operation caused by several circumstances.

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