Expected Human Resource count

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

Description

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

Potential use

Human Resource count can be used as a proxy to measure the flexibility of a process.

Assumptions

Maximizing the number of human resources involved is desirable, as it implies a greater capability to address unexpected situations.

Desired Value:

MAXIMIZE

Required attributes

case
hres

Equations

Formula for practitioners

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

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

Formal Definition

cgHR(c)C(g)\frac{\sum _{c \in g} \mathit{HR}(c)}{\mathit{C}(g)}

Tags

case
hres

Python implementation

This indicator is implemented in the process_performance_indicators Python library.

process_performance_indicators.indicators.flexibility.groups.expected_human_resource_count