Life-of-mine optimization for integrated open stope development and production scheduling using a mixed-integer linear programming framework

Extraction and development sequences must be scheduled strategically in order to maximize the life of mine. The complexities and computational difficulties associated with underground mine planning makes it challenging and open to further research. This paper presents a mathematical programming fram...

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Veröffentlicht in:Mining technology (2018) Jg. 132; H. 2; S. 106 - 120
Hauptverfasser: Appianing, Emmanuel John Andrew, Ben-Awuah, Eugene, Pourrahimian, Yashar
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London, England Taylor & Francis 03.04.2023
SAGE Publications
Schlagworte:
backfilling
capital (decline) development
Mixed-integer linear programming
open stope mining
ore pass development
production schedule
backfilling
open stope mining
capital (decline) development
production schedule
Mixed-integer linear programming
ore pass development
ISSN:2572-6668, 2572-6676
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Zusammenfassung:Extraction and development sequences must be scheduled strategically in order to maximize the life of mine. The complexities and computational difficulties associated with underground mine planning makes it challenging and open to further research. This paper presents a mathematical programming framework based on mixed-integer linear programming (MILP) formulation for integrated open stope development and production scheduling. Additionally, the MILP model incorporates backfilling, operational levels control, and stope extraction duration control during production scheduling. The MILP model generated a net present value of $244.7 M and determined the capital, ventilation, operational, and ore pass development schedules as well as mining and processing schedules for a gold project with 25 years mine life. A total of 2.48 Mt of material was extracted and processed out of 2.88 Mt mineralized material.
ISSN:2572-6668
2572-6676
DOI:10.1080/25726668.2023.2182285