PPI Repository

Expected outcome Unit count

\mathit{e}\mathit{U}\mathit{^{\times}}(g)

\mathit{\times} \in \{\mathit{sgl}, \mathit{sum}\}

Dimension:

Quality

Granularity:

Group of cases

Description

Expected outcome units associated with all activity instances in a case belonging to a group of cases.

Potential use

Process where the outcome of activity instances can be measured.

Assumptions

Maximizing outcome unit count is desirable.

Desired Value:

MAXIMIZE

Required attributes

actinst
case
type
unt

Equations

Formula for practitioners

$\frac{\mathit{U}(g)}{\mathit{C}(g)}$

$\mathit{U}(g)$ returns the total outcome unit count for group $g$ .
$\mathit{C}(g)$ returns the number of cases in group $g$ .

Formal Definition

$\frac{\mathit{U}\mathit{^{\times}}(g)}{\mathit{C}(g)}$
The $\mathit{\times}$ indicates that the PPI can take multiple forms, in this case, $\mathit{\times} \in \{\mathit{sgl}, \mathit{sum}\}$ . If $\mathit{\times} = \mathit{sgl}$ , then the function considers single events of activity instances for outcome unit calculations, i.e., it uses $\mathit{U}\mathit{^{sgl}}$ ; if $\mathit{\times} = \mathit{sum}$ , then the function considers the sum of all events of activity instances for outcome unit calculations, i.e., it uses $\mathit{U}\mathit{^{sum}}$ .

Python implementation

This indicator is implemented in the process_performance_indicators Python library.

process_performance_indicators.indicators.quality.groups.expected_outcome_unit_count

Open function reference Browse quality indicators