Expected Overall Quality

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eOQ(g)\mathit{e}\mathit{OQ}(g)
Dimension:
Quality
Granularity:
Group of cases

Description

Expected overall quality associated with the outcome of a case belonging to a group of cases.

Potential use

Event log contains information that allows measuring overall quality, such as customer satisfaction or a quantifier of the outcome of the process.

Assumptions

Maximizing the quality of the process is desirable.

Desired Value:

MAXIMIZE

Required attributes

case
qual

Equations

Formula for practitioners

cgOQ(c)C(g)\frac{\sum _{c \in g} \mathit{OQ}(c)}{\mathit{C}(g)}

OQ(c)\mathit{OQ}(c) returns the overall quality associated with case cc.
C(g)\mathit{C}(g) returns the number of cases in group gg.

Formal Definition

cgOQ(c)C(g)\frac{\sum _{c \in g} \mathit{OQ}(c)}{\mathit{C}(g)}

Tags

case
qual

Python implementation

This indicator is implemented in the process_performance_indicators Python library.

process_performance_indicators.indicators.quality.groups.expected_overall_quality