Need for and Benefits of Additional Real-World Project Modeling Capabilities: Part 2

This paper discusses additional useful real-world project modeling capabilities, expanding upon the similarly named paper from the IEEE Aerospace 2023 Conference. Project management tools provide various capabilities for modeling and analyzing projects or a portfolio of projects. These tools provide methods for modeling tasks, their relationships to each other, e.g., finish-to-start constraints, calendars, assignment of resources to tasks, and various other modeling capabilities. These capabilities provide a great foundation for modeling many types of projects, but they often fall short of capturing enough real-world details. That is, there are many cases where without further real-world project modeling capabilities, the project managers will be overwhelmed by the inaccuracies of the resulting schedule during execution. We explore modeling capabilities that bridge this gap, many of which have been developed through decades of collaboration with NASA which has resulted in capabilities being added to the Aurora intelligent scheduling and project management software product, that NASA has licenses to. One key innovation is the concept of hazard constraints, allowing project managers to model potentially dangerous activities in relation to other tasks, ensuring hazardous operations never coincide with incompatible activities during execution. The traditional concepts of lead and lag are often imprecise, typically relying solely on time-based measurements that fail to account for real-world delays. For instance, a lag might be defined to allow one task to begin after 20% completion of another task, but this definition is usually based on the original task duration. Consequently, if the task duration changes, the lag doesn't automatically adjust, leading to scheduling inaccuracies. This paper introduces enhanced options for modeling lead and lag relationships that better reflect real-world scenarios. One such improvement is the maximum lag constraint, which initiates a countdown or expiration period when one task starts, setting a time limit for the commencement of a related task. In addition, sometimes it is important to have certain tasks scheduled as early as possible, while in the same project, other tasks should be scheduled as late as possible, for example, complete as much of the project as possible before delivering a very expensive piece of equipment that needs to be installed as part of the project. Many projects require risk analysis in the form of Monte Carlo simulation. If a project utilizes one or more real-world project modeling capabilities, the Monte Carlo simulation must of course also support these additional project modeling capabilities to provide accurate results. Fortunately, the Aurora software that NASA has access to has all the capabilities described in this paper and Part 1 of this paper, including performing full Monte Carlo analysis using any and all of the real-world project modeling capabilities. By presenting these advanced modeling techniques and their practical applications, this paper aims to bridge the gap between idealized project plans and real-world execution complexities. These capabilities represent a significant advancement in project management, offering tools to help organizations like NASA navigate the challenges of complex, high-stakes projects with greater accuracy and confidence.