Predicting Military Construction Project Time Outcomes Using Data Analytics
Abstract
AbstractThrough its Department of Defense (DoD) agencies, and outside contractors, the USA invests billions of dollars each year in military construction (MILCON) projects. Although construction management expertise is gained and significant amount of data are collected from past projects, completing projects on time remains a challenge. This article uses data from 466 MILCON projects to identify key factors that influence project duration and provide a new model to predict project time outcomes. The model generates accurate results and serves as a useful tool in the early phases of a project life cycle. Another key contribution of this study is the employed methodology, which includes the use of available data, targeting of relevant parameters, and development of the predictive model. The contributed methodology is applicable outside of the MILCON domain with the appropriate data set and by targeting the relevant influential factors to create models to predict time outcomes of future projects.