Simulation and optimization approach for uncertainty-based short-term planning in open pit mines  

作　　者：Shiv Prakash Upadhyay Hooman Askari-Nasab 

机构地区：[1]Department of Civil and Environment Engineering, School of Mining and Petroleum Engineering, University of Alberta

出　　处：《International Journal of Mining Science and Technology》2018年第2期153-166,共14页矿业科学技术学报（英文版）

基　　金：part of a PhD research, which was supported by Mine Optimization Laboratory, University of Alberta-Canada

摘　　要：Accuracy in predictions leads to better planning with a minimum of opportunity lost. In open pit mining,the complexity of operations, coupled with a highly uncertain and dynamic production environment,limit the accuracy of predictions and force a reactive planning approach to mitigate deviations from original plans. A simulation optimization framework/tool is presented in this paper to account for uncertainties in mining operations for robust short-term production planning and proactive decision making. This framework/tool uses a discrete event simulation model of mine operations, which interacts with a goalprogramming based mine operational optimization tool to develop an uncertainty based short-term schedule. Using scenario analysis, this framework allows the planner to make proactive decisions to achieve the mine's operational and long-term objectives. This paper details the development of simulation and optimization models and presents the implementation of the framework on an iron ore mine case study for verification through scenario analysis.Accuracy in predictions leads to better planning with a minimum of opportunity lost. In open pit mining,the complexity of operations, coupled with a highly uncertain and dynamic production environment,limit the accuracy of predictions and force a reactive planning approach to mitigate deviations from original plans. A simulation optimization framework/tool is presented in this paper to account for uncertainties in mining operations for robust short-term production planning and proactive decision making. This framework/tool uses a discrete event simulation model of mine operations, which interacts with a goalprogramming based mine operational optimization tool to develop an uncertainty based short-term schedule. Using scenario analysis, this framework allows the planner to make proactive decisions to achieve the mine's operational and long-term objectives. This paper details the development of simulation and optimization models and presents the implementation of the framework on an iron ore mine case study for verification through scenario analysis.

关 键 词：Scheduling Simulation optimization SHORT-TERM PLANNING MINE operational PLANNING Truck-shovel ALLOCATION 

分 类 号：TD[矿业工程]