variation in emissions costs in order to significantly reduce the overall uncertainty. The results of the meta …

objectives across the actors and to the risk allocation induced by the regulatory regime. It illustrates the issues and possible …

uncertainty. A network analysis is performed by generating probabilistic series of pipe roughness using Monte Carlo simulation … (MCS) in the operational period of the Two-loop WDN. Results show that an increase in pipe roughness uncertainty causes a … first 10 years. Thus, the proposed design methodology that considers the uncertainty of design variables is an effective …

an effective way to increase the network efficiency. In addition, consideration of uncertainty of network parameters is … demands and pipe roughness using different values of the coefficient of variation (CV) as the uncertainty measure. Consumption … method during a 30-year operational period simulation in this network show that an increase of uncertainty in each variable …

ranges for each technology. To account for this uncertainty in the applied input information, each of the criteria values …

Project schedule development with CPM cannot handle uncertainty, thus PERT and Monte Carlo Simulation (MCS) are the … of PERT and addresses the incorporation of project risk management into the two approaches. It defines the related … modelling of risk is more robust when the MCS is used, leading to the conclusion that simulation is a more efficient tool than …