Methodology for determining the acceptability of system designs in uncertain environments
type: Item
instance of: scholarly article
title: Methodology for determining the acceptability of system designs in uncertain environments
zbMATH Open document ID: 1208.90088
author: Jack P. C. Kleijnen
author: Henri Pierreval
author: Jin Zhang
published in: European Journal of Operational Research
publication date: 2011-01-28T00:00:00Z
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 5842707
zbMATH Keywords: uncertainty modeling
zbMATH Keywords: risk analysis
zbMATH Keywords: robustness and sensitivity analysis
zbMATH Keywords: simulation
zbMATH Keywords: bootstrap
zbMATH Keywords: design
MaRDI profile type: Publication
OpenAlex ID: W3023684845
cites work: Coherent measures of risk
cites work: A quantile-based approach to system selection
cites work: Managerial insights from service industry models: a new scenario decomposition method
cites work: Q3515043
cites work: A simulation-based optimization approach to size manufacturing systems
cites work: Conditional Monte Carlo Estimation of Quantile Sensitivities
cites work: Stochastic programming based capacity planning for semiconductor wafer fab with uncertain demand and capacity
cites work: Q3766629
cites work: Design and analysis of simulation experiments
cites work: Validation of regression metamodels in simulation: bootstrap approach
cites work: Robust simulation with a base environmental scenario
DOI: 10.1016/J.EJOR.2010.09.026
description: scientific article; zbMATH DE number 5842707