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Underground mine scheduling under uncertainty
Peter Nesbitt
, Lewis R. Blake
, Patricio Lamas
, Marcos Goycoolea
, Bernardo K. Pagnoncelli
, Alexandra Newman
, Andrea Brickey
Business School
Research output
:
Contribution to journal
›
Article
›
peer-review
38
Scopus citations
Overview
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Keyphrases
Resource-constrained Project Scheduling Problem (RCPSP)
100%
Underground Mining
100%
Scheduling under Uncertainty
100%
Underground Mine Scheduling
100%
Net Present Value
50%
Day-to-day Variability
50%
Ground Conditions
50%
Economic Value
50%
Stochastic Integer Programming
50%
Managerial Insights
50%
Programming Framework
50%
Resource Consumption
50%
Optimization Heuristics
50%
Equipment Breakdown
50%
Unforeseen Circumstances
50%
Mine Operation
50%
Underground Mining Activities
50%
INIS
mines
100%
underground
100%
schedules
80%
resources
60%
values
40%
stochastic processes
40%
levels
20%
production
20%
economics
20%
optimization
20%
extraction
20%
equipment
20%
constraints
20%
operation
20%
breakdown
20%
ores
20%
programming
20%
underground mining
20%
Computer Science
Scheduling Problem
100%
Project Scheduling
100%
Integer Programming
50%
Resource Consumption
50%
Constraint Enforcer
50%
Programming Framework
50%
Social Sciences
Stochastics
100%
Project Scheduling
100%
Net Present Value
50%
Time Period
50%
Integer Programming
50%
Economic Value
50%
Engineering
Constrainedness
100%
Net Present Value
50%
Resource Consumption
50%
Underground Mining
50%
Earth and Planetary Sciences
Day Variability
100%
Geotechnology
100%