Expected Activity count

View in library docs
eA(g)\mathit{e}\mathit{A}(g)
Dimension:
Time
Granularity:
Group of cases

Description

Expected number of activities that occur in a case belonging to a group of cases.

Potential use

If the event log does not contain timestamps, Expected Activity count can be used as a proxy for the time performance of a group of cases.

Assumptions

A greater number of activities implies that a case takes longer to complete.

Desired Value:

MINIMIZE

Required attributes

act
case

Equations

Formula for practitioners

ccases(g)A(c)C(g)\frac{\sum _{c \in \mathit{cases}(g)} \mathit{A}(c)}{\mathit{C}(g)}

cases(g)\mathit{cases}(g) returns the set of cases in group of cases gg.
A(c)\mathit{A}(c) returns the activity count of case cc.
C(g)\mathit{C}(g) returns the case count of group of cases gg.

Formal Definition

cgA(c)C(g)\frac{\sum _{c \in g} \mathit{A}(c)}{\mathit{C}(g)}

Tags

act
case

Python implementation

This indicator is implemented in the process_performance_indicators Python library.

process_performance_indicators.indicators.time.groups.expected_activity_count