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One of the unavoidable steps for the next generation of Data Science and Artificial Intelligence technologies applied to mining
One of the unavoidable steps for the next generation of Data Science and Artificial Intelligence technologies applied to mining
Viewing 10 replies - 1 through 10 (of 10 total)
Hello, Diego!
Thank you for your detailed report.
Regarding the question, we’ve compiled some content from our Knowledge Base. Please, take a look and see if it’s helpful:
– Constraint Hierarchy.
– Vertical Rate.
We notice you’re using an outdated version of MiningMath. A more recent version with improvements is available for download here.
For further assistance, make sure to ask our chatbot, currently under training to best support you.
For us to best assist you, could you check these contents and confirm whether they are useful to clarify the matter? 😊
Thank you for your question, Diego!
Insider versions include the latest feature updates and improvements in user experience. They’re available for users to use broadly in their projects and to report any instability they encounter. With feedback from the Community, these insider versions are refined to become fully stable before being released as the stable version.
When working on a highly critical development project, stable versions may be preferred as they have been extensively tested and approved. For working on non-critical projects and exploring opportunities, the insider versions are recommended for you to keep benefiting from MiningMath’s advantages and proactive approach to improving the technology based on your experience.
Our version history can be found here.
Could you please share with us which version you’ve been using and how your experience has been so far? 😊
Hi Pablo, we’re glad to hear that you want to expand your knowledge.
We noticed that the link was having problems and we’ve updated it. At our Knowledge Base, you can check this material with general explanations on the topic.
I’m Mima, from MiningMath’s Support Team, and I’ll be assisting you today.
As we’re constantly improving the stability of MiningMath, it happens with some frequency that newer versions do a better job in terms of respecting geometries and as a side effect, the NPV might get lower.
For us to better understand what’s happening, we’d like to get access to your files and reproduce the case around here. The required files are Model Folder, including your project (.ssprj), model (.ssmod), and scenarios’ folders containing .ssscn files, along with your results for comparison. Can you help us with that?
Please forward it to our Support at support@miningmath.com. Thanks!
Hey, this is Mima, thanks for reporting!
These fields are unavailable when using the free standard version of MiningMath.
You can request a 30-day MM-FULL trial here, or purchase your own MM-FULL license at support@miningmath.com to take full advantage of our technology!
I’ll be your guide on this journey, so count on me for anything you need! 😊
Best wishes!
It’s a great question!
What we recommend in this case is building a graph like this:
In the X axis, you place the indicator “Period to remove the infrastructure.
In the Y axis, you place the NPV or any other important indicator of your choice (productions, grades, etc.).
Each point in this graph will be the result of one Run of MiningMath.
1) You can build a new Decision Tree here:
2) Setup a Base Case scenario, without considering this constraint. This is infeasible, but tends to give you an NPV upper bound to your project.
3) Copy this Base Case scenario and add your constraint as loose as possible. In your specific case, you need to use the Period Intervals and the concept of Restrict Mining, as depicted below and better explained here.
For example, you could add this Restrict Mining Surface until year 1, and leave from 2 to <end> free. Meaning, you can access this area from year 2 on.
4) Repeat this process to create new scenarios that tighten your constraint slowly. For example, changing the interval from 1-1 to 1-2, 1-3, 1-4, 1-5, 1-7, 1-10… .
5) Dependeding on your computer RAM and processing power, you can open multiple instances of MiningMath and run scenarios in parallel. Caution not to overload your computer so that Windows start to shut down the processes.
6) If you need even more efficiency in a less precise evaluation, consider these tips: Timeframes and/or Time limit.
7) Each run will provide one dot in your graph, which could be placed on your final reports, facilitating the decision making process.
8) Note that this procedure could also be used to all the ohter constraints of your project, to better understand the impact of each one. 😍
How could we best assist you in this process?
Please forward it to our Support at support@miningmath.com. Thanks!
Hello, Rodrigo, all well?
I’m Mima, from MiningMath’s Support Team, and I’ll be assisting you today.
For us to better understand what’s happening, we’d like to get access to your files and reproduce the case around here, using a progressive validation of your constraints according to this procedure.
The required files are Model Folder, including your project (.ssprj), model (.ssmod), scenarios’ folders containing .ssscn files, along with your results for comparison. Can you help us with that?
We’re available this week for a quick call to assist you more closely and properly introduce to one another. Would that be interesting to you? 😊
Hello, Erlend,
This is Mima, thank you for reporting this bug!
It seems the issue is related to how the interface is reading undefined capacity values in processes. They’re being read as infinite instead of zero. Our DEV team is already working on it, but until then, using 0 for values on undefined capacities should work.
MiningMathers like you who first find and report unknown bugs are rewarded with MM-Points that can be exchanged for prizes!
To improve your tests and spread your knowledge in the mining field. Contact us at support@miningmath.com to collect your reward license and stay connected! 🚀
Could you test it and let me know your results in the comments below?
Viewing 10 replies - 1 through 10 (of 10 total)
Hi, it's Mima here 😇 Ask me any questions!
We extend our gratitude to our expert partners for their amazing contributions as content reviewers for materials on our website. We’re thrilled to have pros like you on board! 🤝