Open pit mine production scheduling (OPMPS) is a decision problem which maximizes net present value (NPV) by determining the extraction time and destination of each block of ore and/or waste in a deposit. Stockpiles can be used to maintain low-grade ore for future processing, to store extracted material until processing capacity is available, or to blend material based on single or multiple block characteristics (i.e., metal grade and/or contaminant).
We modify an existing integer-linear program to maximize NPV and provide a schedule and stockpiling strategy for an operational open pit mine, in which the stockpile is used to blend materials based on multiple block characteristics. We compare the schedule whith one which does not consider stockpiling, and with a second which controls only the metal content in the stockpile and ignores the contaminant level at the mill and in the stockpile. We show that our model improves the NPV of the project while satisfying operational constraints.
Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019 pp 75-82
Complete article available at: https://link.springer.com/chapter/10.1007/978-3-030-33954-8_8
If you are interested and want to acquire our product, contact usCONTACT
Suscribe to our newsletter, so we can briefly inform you about all the news that may be relevant to you about Alicanto Labs.