Monte-Carlo Simulation, Uncertainty Analysis, and Sensitivity Analysis in Life Cycle Assessment
/*! elementor - v3.23.0 - 05-08-2024 */ .elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}Introduction When certain variables are changed or updated, numerous outcomes are modeled using a computerized mathematical technique known as Monte Carlo simulation. It is a computer modeling used to examine how complex systems operate and behave. The method simulates several possibilities in a process challenging to solve using traditional mathematical methods. Monte Carlo simulation is used in many fields, including banking, engineering, risk management, physics, and Life…
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