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Optimization of Short-Term Underground Mine Planning Using Constraint Programming

Authors Younes Aalian, Gilles Pesant, Michel Gamache

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Younes Aalian
  • Département de mathématiques et de génie industriel, Polytechnique Montréal, Québec, Canada
Gilles Pesant
  • Département de génie informatique et génie logiciel, Polytechnique Montréal, Québec, Canada
Michel Gamache
  • Département de mathématiques et de génie industriel, Polytechnique Montréal, Québec, Canada

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Younes Aalian, Gilles Pesant, and Michel Gamache. Optimization of Short-Term Underground Mine Planning Using Constraint Programming. In 29th International Conference on Principles and Practice of Constraint Programming (CP 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 280, pp. 6:1-6:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/LIPIcs.CP.2023.6

Abstract

Short-term underground mine planning problems are often difficult to solve due to the large number of activities and diverse machine types to be scheduled, as well as multiple operational constraints. This paper presents a Constraint Programming (CP) model to optimize short-term scheduling for the Meliadine underground gold mine in Nunavut, Canada, taking into consideration operational constraints and the daily development and production targets of the mine plan. To evaluate the efficacy of the developed CP short-term planning model, we compare schedules generated by the CP model with the ones created manually by the mine planner for two real data sets. Results demonstrate that the CP model outperforms the manual approach by generating more efficient schedules with lower makespans.

Subject Classification

ACM Subject Classification
  • Theory of computation → Constraint and logic programming
  • Computing methodologies → Planning and scheduling
Keywords
  • Mine planning
  • Constraint Programming
  • Short-term planning
  • Underground mine
  • Scheduling

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References

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