PPI Repository

Expected Resource count

\mathit{e}\mathit{R}(g)

Dimension:

Cost

Granularity:

Group of cases

Expected number of resources that are involved in the execution of a case belonging to a group of cases.

If the event log does not contain cost information, Expected Resource count can be used as a proxy for the cost performance of a group of cases.

Minimizing the number of resources involved is desirable.

MINIMIZE

case
res

$\frac{\sum _{c \in g} \mathit{R}(c)}{\mathit{C}(g)}$

$\mathit{R}(c)$ returns the resource count for case $c$ .
$\mathit{C}(g)$ returns the number of cases in group $g$ .

$\frac{\sum _{c \in g} \mathit{R}(c)}{\mathit{C}(g)}$

This indicator is implemented in the process_performance_indicators Python library.

process_performance_indicators.indicators.cost.groups.expected_resource_count