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- W2989744076 abstract "A structured and robust methodology of modeling and simulation can be available through modular stochastic timed Petri nets, including experiments that allow designers to simulate the processes involved in ore production on well-founded estimates. The research represents a relevant industrial production process optimization through a computational simulation structure, and a modeling of complex stochastic systems, constructed from real data ofthe process (extraction of knowledge based on data). This prerogative guides an experimental research based on real data from an Brazilian open pit mine operation. This research presents a continuity and assertion of experiments already performed with modular Petri nets, which presented significant and better results than tools already available in the industry (SIMAN). Firstly, we present an experimental design optimization methodology, focusing on performance and response quality in the modeling and simulation of the open pit mine truck dispatch process. Then, this research introduces and compares two fast heuristics for dispatch strategies in a mine simulated using Stochastic Timed Petri nets. Issues such as productivity and equipment positioning are evaluated and discussed in order to allow synthesizing sub-optimal dispatch policies. As results of the experiment, we derived a valid simulation structure for the open-pit mining process using Petri nets. It was obtained a behavioral evaluation of the efficiency of the structure according to variations in the probability distribution function. The simulation structure demonstrated a modular, scalable, transparent modeling, besides providing mathematical support, power analysis and computational efficiency." @default.
- W2989744076 created "2019-12-05" @default.
- W2989744076 creator A5029152866 @default.
- W2989744076 date "2019-09-26" @default.
- W2989744076 modified "2023-09-27" @default.
- W2989744076 title "Modeling, simulation and performance analysis of dispatch policy for open pit mines" @default.
- W2989744076 hasPublicationYear "2019" @default.
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