TY - GEN
T1 - Evaluation Method in Multiple Scenarios by Means of Datamine Applying the Law of Variable Cutting in Optimization of the NPV in Open Pit
AU - Flores-Zuniga, Elmer
AU - Rivera-Ascencios, Diego
AU - Alayo-Leon, Edgar
AU - Aramburu-Rojas, Vidal
AU - Raymundo, Carlos
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
PY - 2021
Y1 - 2021
N2 - This research is proposed to better detail the economic information that is handled and is necessary for the evaluation of a mining project, and in turn to reduce the uncertainty that exists regarding the economic results that the mining operation will obtain. In the same way, it is expected to optimize the extraction process and consequently increase the income generated in the operation, this will be evaluated with the economic measurement tool: net present value (NPV). The research will be developed through the use of mining software such as Datamine OP and NPV Scheduler, in which simulations of the various scenarios will be carried out where the cutoff grade will be the main variable to modify in order to verify the increase in the VPN in the mining operation.
AB - This research is proposed to better detail the economic information that is handled and is necessary for the evaluation of a mining project, and in turn to reduce the uncertainty that exists regarding the economic results that the mining operation will obtain. In the same way, it is expected to optimize the extraction process and consequently increase the income generated in the operation, this will be evaluated with the economic measurement tool: net present value (NPV). The research will be developed through the use of mining software such as Datamine OP and NPV Scheduler, in which simulations of the various scenarios will be carried out where the cutoff grade will be the main variable to modify in order to verify the increase in the VPN in the mining operation.
KW - Cutoff grade
KW - Datamine
KW - Economic evaluation
KW - Mining costs
KW - VPN optimization
UR - https://www.scopus.com/pages/publications/85142227852
U2 - 10.1007/978-3-030-80462-6_21
DO - 10.1007/978-3-030-80462-6_21
M3 - Contribución a la conferencia
AN - SCOPUS:85142227852
SN - 9783030804619
T3 - Lecture Notes in Networks and Systems
SP - 168
EP - 175
BT - Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2021 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, 2021
A2 - Trzcielinski, Stefan
A2 - Mrugalska, Beata
A2 - Karwowski, Waldemar
A2 - Rossi, Emilio
A2 - Di Nicolantonio, Massimo
PB - Springer Science and Business Media Deutschland GmbH
T2 - AHFE Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, 2021
Y2 - 25 July 2021 through 29 July 2021
ER -