Event Chain Methodology is an uncertainty modeling and schedule network analysis technique focused on identifying and managing events and specific event chains that have an effect on schedules. This methodology assists in the mitigation of psychological heuristics and biases that may have a negative impact on the organization. It also helps to allow for the easy modeling of uncertainties that can appear in project scheduling. It is based on these principles.
The first is the probabilistic moment of risk. In real life, most activities do not continue indefinitely. They are, instead, performed on an individual basis and may not in any way relate to one another. Tasks are affected by external events that can occur anywhere within the process of their completion. Events can lead up to other events which then cause event chains to occur. They can have a significant effect on the outcome of the project. Quantitative analysis is used to come up with a cumulative effect of such even chains on the overall event schedule.
The single events or chains are those that have the most potential to affect the projects. The critical events or chains also have this type of potential. They can be determined by analysis.
It is also possible to track the events of a particular project. This can be accomplished even when a it is only partially completed and the data concerning duration, cost, and events that have occurred is available, it is still possible to refine information surrounding future events that could occur and this helps in the forecasting of the future performance of a particular project.
Event chain visualization is also used in project management. Here, events and event chains can be visualized with the aid of a diagram. This diagram is what is known as a Gantt chart. This enables leaders and other team members to view the information in a way that makes sense and depicts the data in a way that is easy to follow.
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