Technical Sessions – Monday July 11

FD-21 IFORS 2011 - Melbourne
1 - Passing Bays and Vehicle Schedules for an Underground
Mine
Hamideh Anjomshoa, School of Mathematics & Statistics,
University of South Australia, 5095, Mawson Lakes, South
Australia, Australia, Hamideh.anjomshoa@unisa.edu.au, Peter
Pudney, David Lee, Amie Albrecht
Underground mines often use a single decline for loaded and unloaded vehicles.
Strategically placed passing bays allow opposing vehicles to pass. The
number and locations of bays influences the flow of vehicles, and hence mine
productivity. The optimal spacing of bays is a function of the length of decline,
number of vehicles, up speeds, down speeds, loading and unloading times. We
present the results obtained from an MIP model which determines the spacing
of bays that minimises the makespan of a fixed number of trips. The MIP also
generates the corresponding vehicle schedule.
2 - Integrating Constructability of a Project into the Optimization
of Production Plans and Scheduling
Nelson Morales, Mine Engineering, Universidad de Chile,
Santiago, Chile, nmorales@ing.uchile.cl, Winston Rocher,
Enrique Rubio, Milivoj Smoljanovic
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Mine planning for underground mines is decoupled in a process that first determines
the production plan and mining schedule (what to extract and in which
order) and then designs and schedules the infrastructure required to achieve
these production goals. While the production plan is calculated considering
some elements of constructability, the actual construction schedules do not
meet the production requirements, affecting early stages of the project and
therefore the NPV. In this work we present two models that integrate these
steps and show aggregation techniques and real applications.
3 - Long-Term Extraction and Backfill Scheduling in a
Complex Underground Mine
Donal OSullivan, Division of Economics and Business, Colorado
School of Mines, 1500 Illinois Street, 80401, Golden, Colorado,
United States, dosulliv@mines.edu
We use an integer programming model to optimize production at a complex
underground mining operation. Mine managers seek to maximize metal production
while using a mixture of mining methods to extract the ore. We apply
a sliding time window heuristic to solve for a four year schedule with weekly
fidelity.