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The variables "Uncertainty," "Discontinuity," and "Technological Realization" apply to "uncertainty, complexity, and ambiguity".
We conclude that, in some cases, there exists an important influence of the input variables' uncertainty on the response of the heap leaching process.
That is, in order to avoid sampling on the dependent variable (valuation methods), we sampled in terms of the independent variables (uncertainty and controversy) that we wanted to investigate in terms of how they influence choices of valuation methods.
In order to take into account the effect of design variables uncertainty, the reliability-based design optimization (RBDO) is conducted, and a Monte Carlo Simulation (MCS) is adopted to generate random distributions of the constraint functions for each design.
The use of traditional production planning techniques is constrained by large numbers of decision variables, uncertainty in demand and time production, and non-deterministic system behaviour, characteristics intrinsic in manufacturing.
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To avoid such a difficulty, we consider the premise variables uncertainties.
The uncertainties of the elements of phase tensors were calculated using the delta method (Patro et al. 2013; Booker 2014), which is a standard method for propagating variables' uncertainties (or errors) to the uncertainties of functions based on them (Ver Hoef 2012).
The effect of random variable uncertainty is assessed using a sensitivity study.
Such an assessment allows analysing context uncertainty, parameter uncertainty and input variable uncertainty in Walker et al.'s terms.
2) With the introduction of affine policy, a robust optimization formulation with the variable uncertainty sets for FARED is proposed.
In this section, the FARED problem is formulated as a robust optimization problem with variable uncertainty sets.
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