Many projects specify incentive and disincentive clauses for completing projects early and late.
The timely completion and success of a project rely on good planning and scheduling. Contractors who repeatedly build the same kind of facilities acquire experience in scheduling the needed construction work. When parts of a facility's design are copied from one project to the next, the previously developed schedules could possibly be reused to schedule future work. This dissertation presents a construction planner and scheduler, named CasePlan, that automates the planning and scheduling process through the use of experience encoded in cases. As a decision support tool, CasePlan enables the contractor to search for cases whose facility designs are similar to that of a new project.