Benefits

Cost savings from Solverscape models will depend on the sophistication of the existing models used by a company.
However, we can estimate the value of potential benefits from Solverscape models by comparing them with approximation-based methods that mimic rules-of-thumb humans use while making decisions.

The Workforce Planner creates staffing plans that can best track worker requirements that are varying at an hourly or daily level.
To get an estimate of the cost savings from the model over say a heuristic method that works by averaging data, we run the model twice. First, with actual worker requirements and second with average worker requirements.
If the 'average' solution uses more workers than the 'actual' solution, then the 'actual' solution is evidently better.
On the other hand, if the 'average' solution uses fewer workers than the 'actual' solution, then this means that we would encounter worker shortfall while implementing the heuristic solution.

The Job Scheduler create a schedule in which the total switching cost across consecutive jobs is minimized.
To get an idea of the cost savings from the model over a heuristic method that disregards job switch-over costs, we run the model twice. First, with the actual job switch-over costs and second with zero job switch-over costs.
The difference between the two solutions indicates the switching costs that we will encounter while implementing the heuristic solution.

The Warehouse Manager finds the fewest number of resources required for picking items from different racks in a warehouse.
Every item in a warehouse has a specific weight/volume.
To get an idea of the cost savings from the model over a heuristic solution that uses say the average item weight/volume, we run the model twice. First, with the actual item weight/volume and second with the average item weight/volume.
The difference between the two solutions indicates the capacity shortfall that we will encounter while implementing the heuristic solution.

The Sheet Cutter gives us the patterns in which we can cut standard sheets so that we get desired numbers of different types of small-sized sheets.
To get an idea of the cost savings from the model over a heuristic solution that limits the diversity of types of small-sized sheets in the patterns, we run the model twice. First, with the regular constraints and second with an extra constraint that stipulates that the total no. unique types of smaller sheets present in a pattern cannot exceed a specific value.
The difference between the costs of the two solutions gives how much we could save by using the model.

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