MILP Production Scheduling Models for Evaluating Continuous Improvement Projects - SME Annual Meeting 2024

- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 12
- File Size:
- 2604 KB
- Publication Date:
- Feb 1, 2024
Abstract
Mixed integer linear programming (MILP) production
scheduling models can be used to evaluate if tonnage
improvement projects will deliver value over all time periods
and whether new bottlenecks will be created. These MILP
models can evaluate the interconnected effects of mine and
process capacities, mining locations, cutoff grades, stockpiles,
and orebody grade/tonnage distributions.
A case study compares potential value creation from a
mine capacity increase, a mill capacity increase, or a simultaneous
increase in all capacities. For perspective, project
valuations for capacity increases are compared against
valuations for cost reduction projects, mine planning
improvements such as phase design, dynamic cutoff grades
and stockpiling, and the impact of geostatistics improvements
in the areas of block model accuracy and ore control
selectivity.
Citation
APA:
(2024) MILP Production Scheduling Models for Evaluating Continuous Improvement Projects - SME Annual Meeting 2024MLA: MILP Production Scheduling Models for Evaluating Continuous Improvement Projects - SME Annual Meeting 2024. Society for Mining, Metallurgy & Exploration, 2024.