An application of discrete mathematics in the design of an open pit mine
Discrete Applied Mathematics
Solving airline crew scheduling problems by branch-and-cut
Management Science
Finding Cuts in the TSP (A preliminary report)
Finding Cuts in the TSP (A preliminary report)
Branch and cut methods for network optimization
Mathematical and Computer Modelling: An International Journal
Receding horizon control applied to optimal mine planning
Automatica (Journal of IFAC)
Computers and Operations Research
Expert Systems with Applications: An International Journal
A strengthened formulation and cutting planes for the open pit mine production scheduling problem
Computers and Operations Research
Evolutionary algorithms in large-scale open pit mine scheduling
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Optimizing microwind rural electrification projects. A case study in Peru
Journal of Global Optimization
Solving LP relaxations of large-scale precedence constrained problems
IPCO'10 Proceedings of the 14th international conference on Integer Programming and Combinatorial Optimization
Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines
Operations Research
A New Algorithm for the Open-Pit Mine Production Scheduling Problem
Operations Research
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The economic viability of the modern day mine is highly dependent upon careful planning and management. Declining trends in average ore grades, increasing mining costs and environmental considerations will ensure that this situation will remain in the foreseeable future. The operation and management of a large open pit mine having a life of several years is an enormous and complex task. Though a number of optimization techniques have been successfully applied to resolve some important problems, the problem of determining an optimal production schedule over the life of the deposit is still very much unresolved. In this paper we will critically examine the techniques that are being used in the mining industry for production scheduling indicating their limitations. In addition, we present a mixed integer linear programming model for the scheduling problems along with a Branch and Cut solution strategy. Computational results for practical sized problems are discussed.