Expected Repeatability

View in library docs
eRep(g)\mathit{e}\mathit{Rep}(g)
Dimension:
Quality
Granularity:
Group of cases

Description

One minus the expected ratio between the number of activities that occur in a case belonging to a group of cases, and the number of times that an activity is instantiated in a case belonging to a group of cases.

Potential use

Process where activity repetition is common.

Assumptions

It is desirable not to repeat activities.

Desired Value:

MINIMIZE

Required attributes

act
actinst
case

Equations

Formula for practitioners

1cgA(c)I(g)1 - \frac{\sum _{c \in g} \mathit{A}(c)}{\mathit{I}(g)}

A(c)\mathit{A}(c) returns the number of unique activities in case cc.
I(g)\mathit{I}(g) returns the total number of activity instances in group gg.

Formal Definition

1cgA(c)I(g)1 - \frac{\sum _{c \in g} \mathit{A}(c)}{\mathit{I}(g)}

Tags

act
actinst
case

Python implementation

This indicator is implemented in the process_performance_indicators Python library.

process_performance_indicators.indicators.quality.groups.expected_repeatability