Expected Human Resource count

View in library docs
eHR(g)\mathit{e}\mathit{HR}(g)
Dimension:
Quality
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 quality of the process.

Assumptions

Minimizing the number of human resources involved is desirable, as it reduces the possibility of errors due to, e.g., handovers of work.

Desired Value:

MINIMIZE

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.quality.groups.expected_human_resource_count