Risk management in predictive projects with dichotomous variables: Consulting Project Case
Main Article Content
Keywords
Risk Management, Project Management, Dichotomous Variables, S Curve
Abstract
The article presents the application of dichotomous variables as a tool for risk management in predictive projects and proposes using the Integrated S Curve as a graphical representation that includes the variables cost, time, scope and quality. The methodology uses risk management and applying the “What happens if?” technique from where work scenarios in the project are. The paper exposes a case related to a strategic consulting project for a company in the metalmechanic sector in Colombia; from the case, it is possible to identify that the Integrated S Curve presents a better adjustment to the final result of the project compared to the S Curve generated at the time of planning.
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