Schedule Information Modeling for Forensic Analysis and Assessment of Time Claims

Abstract

The contemporary landscape of construction projects witnesses a notable inclination toward heightened complexity and specialization, contributing to an increase in both the frequency and intricacy of construction claims. Among these, disputes concerning schedule impacts emerge as the most prevalent, yet also the most intricate and least comprehended. Existing methodologies for analysis persist as costly, time-consuming, and complex, often failing to accurately address impacts of delays lasting less than a day. In response to these shortcomings, this study introduces a novel framework termed Forensic Schedule Information Modeling (ForSIM) designed specifically for the analysis of time-related claims within construction projects. ForSIM adopts key principles derived from window-based analytical techniques, thereby incorporating established methodologies within its structure. Additionally, ForSIM adopts a time-step simulation approach, which serves as a foundational mechanism for both the modeling and integration of project data. Through this approach, ForSIM streamlines the process of automated data integration, analysis, and the quantification of both acceleration and time extension awards. Moreover, it provides detailed demonstrations of causation, thereby enhancing clarity in dispute resolution processes. A prototype of ForSIM has undergone rigorous development and testing procedures, elucidating its effectiveness in addressing the constraints associated with prevailing methodologies. The findings of this study highlight the transformative potential of ForSIM in augmenting industry practices, facilitating more efficient and accurate evaluations of time claims within construction projects.