Date of Award

5-2023

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Engineering and Sciences

First Advisor

Luis Daniel Otero

Second Advisor

Juan C. Avendano Arbelaez

Third Advisor

Mary Ann Gaal

Fourth Advisor

Philip J. Bernhard

Abstract

Agile project management allows for a quick response to a changing project environment. This opens possible avenues for new opportunities, but also may expose ongoing projects to previously unknown or unexpected threats. Risks must be continuously monitored as a product is worked on to avoid lost potential. This paper will propose a discrete event simulation model that multi-team projects may use to predict the impact to the project’s schedule. Using discrete event simulation early in the project’s planning cycle offers a greater understanding of the possible or probable impact of risks on the schedule. This would help to prepare project managers, planners, and schedulers for challenges they could face. In this paper, you will find that discrete event simulation was able to accurately characterize the behavior of a risk response system and predict the actual impact to the schedule.

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