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Direct Block Scheduling (DBS) is a modern approach used in the scheduling of mining operations, particularly in open-pit mining. A DBS-based solution operates directly at the block level rather than on larger aggregates like phases or pushbacks, which are commonly used in traditional scheduling methods. Each block of ore and waste in the mine is considered individually in the scheduling process. In summary, DBS-based solutions allow for a more precise optimization of the extraction sequence, maximizing economic returns while accounting for a wide range of operational constraints.
Research works for DBS algorithms emerged in the early 2000s as a response to the limitations of traditional mine scheduling methods, which often group blocks into larger units like phases or pushbacks. The need for a more precise approach led to the development of initial DBS algorithms. Early contributions include works by Caccetta and Hill (2003) and and by Boland et al. (2009) on mixed-integer programming models, which laid the foundation for the sophisticated optimization techniques that characterize DBS-based solutions today.
While the DBS approach offers significant advantages in mining optimization, a new methodology can also present drawbacks compared to traditional methods:
Therefore, software solutions designed to implement DBS algorithms will require significant expertise and experience to adress these challenges and to provide viable alternatives to traditional methods. Consequently, selecting a robust and customized software package is crucial when adopting DBS-based technologies.
Given its relatively recent development, DBS-based solutions may be viewed as a uniform approach to open-pit mine scheduling. However, not all DBS-based software have the same features or will deliver the same results, just as software packages using traditional methods can vary in effectiveness as well. The quality and effectiveness of DBS implementations can differ significantly depending on the software package used.
MiningMath, a pioneer in commercial DBS solutions, launched its first version in 2013 and has since focused on refining its proprietary algorithm. This dedication has led to several unique features and advantages for its implementation:
With MiningMath’s single-step, optimization engine, you can uncover opportunities that manual or stepwise planning might miss. Ultimately, this engine is able to optimize resource utilization and can improve project outcomes. Transform your mine planning process by leveraging MiningMath’s advantages and take your mining projects to new heights of efficiency and success.
Windows 64-Bit (x86_64) - 121 MB
Windows 64-Bit (x86_64) - 121 MB
With constant developments since 2013, MiningMath has reached a mature and robust state. We are the first and only single-step mining optimization engine available in the market!
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