A two-stage simultaneous optimization of NPV and throughput in production planning of open pit mines. (January 2023)
- Record Type:
- Journal Article
- Title:
- A two-stage simultaneous optimization of NPV and throughput in production planning of open pit mines. (January 2023)
- Main Title:
- A two-stage simultaneous optimization of NPV and throughput in production planning of open pit mines
- Authors:
- Tabesh, Mohammad
Moradi Afrapoli, Ali
Askari-Nasab, Hooman - Abstract:
- Abstract: Open-pit mines are complex businesses with long-term profits ranging from millions to billions of dollars. These mines have a minimum of one discrete (mining) and one continuous (processing) subsystem working in unison to deliver input raw material to several downstream industries. The inherent difference between these two subsystems causes operational challenges in the production process leading to nonoptimal net present value (NPV) and variable quality and quantity of throughput from the discrete to the continuous subsystem. This paper presents a two-stage clustering-MILP algorithm for long-term production planning in open-pit mines. The research integrates multi-range stockpiles in the decision-making process that leads to determining the optimum number of stockpiles required to maximize the discounted value of the mine, as well as balancing the quality and quantity of throughput. We evaluated our developed model in a real open pit mine case study. Results show that with a four-bin stockpile, we can maximize the discounted value of the mine by minimizing head-grade deviation to 5.1% and maximizing the reclaimed material by up to 10.7% of the total ore delivered to the plant. Highlights: Generating life of mine production plan for open pit mines. Investigating the impact of stockpiles on the net present value of mines. Mine blend improvement by introducing multi-range stockpiles. The optimum number of stockpile bins for multi-element deposits. MILP model for openAbstract: Open-pit mines are complex businesses with long-term profits ranging from millions to billions of dollars. These mines have a minimum of one discrete (mining) and one continuous (processing) subsystem working in unison to deliver input raw material to several downstream industries. The inherent difference between these two subsystems causes operational challenges in the production process leading to nonoptimal net present value (NPV) and variable quality and quantity of throughput from the discrete to the continuous subsystem. This paper presents a two-stage clustering-MILP algorithm for long-term production planning in open-pit mines. The research integrates multi-range stockpiles in the decision-making process that leads to determining the optimum number of stockpiles required to maximize the discounted value of the mine, as well as balancing the quality and quantity of throughput. We evaluated our developed model in a real open pit mine case study. Results show that with a four-bin stockpile, we can maximize the discounted value of the mine by minimizing head-grade deviation to 5.1% and maximizing the reclaimed material by up to 10.7% of the total ore delivered to the plant. Highlights: Generating life of mine production plan for open pit mines. Investigating the impact of stockpiles on the net present value of mines. Mine blend improvement by introducing multi-range stockpiles. The optimum number of stockpile bins for multi-element deposits. MILP model for open pit mine planning with stockpiling option. … (more)
- Is Part Of:
- Resources policy. Volume 80(2023)
- Journal:
- Resources policy
- Issue:
- Volume 80(2023)
- Issue Display:
- Volume 80, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 80
- Issue:
- 2023
- Issue Sort Value:
- 2023-0080-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-01
- Subjects:
- Open pit mine production planning -- Maximizing net present value (NPV) -- Multi-range stockpiling -- Mixed integer linear programming (MILP) -- Quality control
Mines and mineral resources -- Periodicals
Ressources minérales -- Périodiques
Ressources naturelles -- Gestion -- Périodiques
Environnement -- Politique gouvernementale -- Périodiques
333.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03014207 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/resources-policy/ ↗ - DOI:
- 10.1016/j.resourpol.2022.103167 ↗
- Languages:
- English
- ISSNs:
- 0301-4207
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7777.608600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25743.xml