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Global sensitivity analysis in inventory management
International Journal of Production Economics, 2007Abstract This paper deals with the sensitivity analysis (SA) of inventory management models when uncertainty in the input parameters is given full consideration. We make use of Sobol’ function and variance decomposition method for determining the most influential parameters on the model output. We first illustrate the method by means of an analytical
BORGONOVO, EMANUELE, PECCATI, LORENZO
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Global sensitivity analysis for mathematical models comparison
Computational and Applied Mathematics, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
André Jacomel Torii +5 more
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Global sensitivity analysis in dynamic metabolic networks
Computers & Chemical Engineering, 2009Abstract In this work, we have performed global sensitivity analysis on a large-scale dynamic metabolic network through variance-based techniques. Time profiles for sensitivity indices have been calculated for each parameter, based on Sobol’ approach (2001) .
Jimena Di Maggio +2 more
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2017
After completing an uncertainty analysis , the next step is a global sensitivity analysis .
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After completing an uncertainty analysis , the next step is a global sensitivity analysis .
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Global Sensitivity Analysis via Optimal Transport
Management ScienceWe examine the construction of variable importance measures for multivariate responses using the theory of optimal transport. We start with the classical optimal transport formulation. We show that the resulting sensitivity indices are well-defined under input dependence, are equal to zero under statistical independence, and are maximal under fully ...
Borgonovo, Emanuele +3 more
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Global Optimization and Sensitivity Analysis
Nuclear Science and Engineering, 1990A new direction for the analysis of nonlinear models of nuclear systems is suggested to overcome fundamental limitations of sensitivity analysis and optimization methods currently prevalent in nucl...
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Is Global Sensitivity Analysis Useful to Evolutionary Computation?
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015Global Sensitivity Analysis (GSA) studies how uncertainty in the inputs of a system influences uncertainty in its outputs. GSA is extensively used by experts to gather information about the behavior of models, through computationally-intensive stochastic sampling of parameters' space.
Chabin, Thomas +2 more
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Global Sensitivity Analysis for ABS
2012In the previous chapter, we looked at the ratings variability due to model choice and parameter values. In the present chapter, we are going to investigate the ratings parameter sensitivity further by applying global sensitivity analysis techniques. Sensitivity analysis is a powerful methodology for analyzing how the uncertainty in the output can be ...
Francesca Campolongo +2 more
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Global sensitivity analysis for a stochastic flow problem
Monte Carlo Methods and Applications, 2018Abstract The paper is devoted to the modeling of a single-phase flow through saturated porous media. A statistical approach where permeability is considered as a lognormal random field is applied. The impact of permeability, random boundary conditions and wells pressure on the flow in a production well is studied.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Lorenzo Cohen +2 more
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