Expected Role count

View in library docs
eRole(g)\mathit{e}\mathit{Role}(g)
Dimension:
Flexibility
Granularity:
Group of cases

Description

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

Potential use

Process where several roles are involved.

Assumptions

A greater number of roles involved in the execution of the process implies greater flexibility.

Desired Value:

MAXIMIZE

Required attributes

case
role

Equations

Formula for practitioners

cgRole(c)C(g)\frac{\sum _{c \in g} \mathit{Role}(c)}{\mathit{C}(g)}

Role(c)\mathit{Role}(c) returns the role count for case cc.
C(g)\mathit{C}(g) returns the number of cases in group gg.

Formal Definition

cgRole(c)C(g)\frac{\sum _{c \in g} \mathit{Role}(c)}{\mathit{C}(g)}

Tags

case
role

Python implementation

This indicator is implemented in the process_performance_indicators Python library.

process_performance_indicators.indicators.flexibility.groups.expected_role_count