Design of Cell-Based Flotation Circuits under Uncertainty: A Techno-Economic Stochastic Optimization

The design of cell-based flotation circuits is often completed in two distinct phases, namely circuit structure identification and equipment sizing selection. While recent literature studies have begun to address the implications stochastic analysis, industrial practice still strongly favors use deterministic metallurgical modeling approaches. Due complexity available mathematical models, most techniques are constructed based on models. Neglecting impact various sources uncertainty may result solutions that only optimal a narrow region specific operating scenarios. One promising strategy this shortcoming through Sample Average Approximation (SAA) methodology, approach handling has been widely applied other disciplines such as supply chain facility location management problems. In study, techno-economic optimization algorithm was formulated select size number cells for fixed while considering potential several input parameter including feed grade, kinetic coefficients, metal price. Initially, sensitivity analysis conducted screen uncertain parameters. After simplifying problem, SAA implemented determine configuration (i.e., cell number) maximizes plant’s net present value range values due uncertainty. methodology found be useful analyzing kinetics; however, did not provide means assess influence uncertainties ore grade price, these significant determining but rather structure, which considered study. Results from an application example indicate produces initially identified optimization, tend greater robustness variation kinetics.