Expanded Study on Criticality in Schedule Plan of Project

摘要

This article mainly concerns with resource-constrained schedule risk and comes up with a method which uses Genetic Algorithm to find out the shortest time of a project and bases on Monte Carlo Simulation to estimate schedule risk. First, a new concept of is proposed, which optimizes the resource constraints and epitomizes the law of diminishing marginal utility of resource. Second, introduce how to take advantage of Genetic Algorithm and Monte Carlo Simulation in schedule-risk-management. Finally, an example manifests that it is effectual of Monte Carlo Simulation to estimate schedule risk and assist decisions in project under resource-constrained circumstances.