Construction forecasting system with dependency structures

A machine-readable storage device having instructions for execution by a processor of a machine to cause the processor to perform operations to perform a method, the operations comprising:

• receiving digital representations of timing of multiple construction project milestones of a construction project, each milestone of the project milestones having an expected completion date;
• generating tranches, each tranche comprising a subset of the project milestones;
• simulating, using iterative random sampling performed by hierarchical models that depend on each other and represent dependencies between the tranches, a timing of the construction project tranche to propagate construction delays determined from the received digital representations from a tranche of the tranches to a dependent tranche of the tranches the dependencies including tranche dependencies and external dependencies;
• and
• accumulating delays from each model of the hierarchical models to generate an expected completion date of the construction project.

A device comprising:

• a processor;
• and
• a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform operations comprising:
• receiving digital representations of timing of multiple construction project milestones of a construction project, each milestone of the project milestones having an expected completion date;
• generating tranches, each tranche comprising a subset of the project milestones;
• simulating, using iterative random sampling performed by hierarchical models that depend on each other and represent dependencies between the tranches, a timing of the construction project tranche to propagate construction delays determined from the received digital representations from a tranche of the tranches to a dependent tranche of the tranches the dependencies including tranche dependencies and external dependencies;
• and
• accumulating delays from each model of the hierarchical models to generate an expected completion date of the construction project.