Calculates the amount of time that no activity occurs.
idle_time(eventlog, level, append, append_column, units, ...)# S3 method for eventlog
idle_time(eventlog, level = c("log", "case", "trace",
"resource"), append = FALSE, append_column = NULL, units = c("days",
"hours", "mins", "secs", "week"), ...)
# S3 method for grouped_eventlog
idle_time(eventlog, level = c("log", "case",
"trace", "resource"), append = FALSE, append_column = NULL,
units = c("hours", "days", "weeks", "mins"), ...)
The dataset to be used. Should be a (grouped) eventlog object.
eventlog.
Level of granularity for the analysis: log, case, trace, or resource.
For more information, see vignette("metrics", "edeaR")
Logical, indicating whether to append results to original event log. Ignored when level is log or trace.
Which of the output columns to append to log, if append = T. Default column depends on chosen level.
Time units to be used
Deprecated arguments
eventlog: Compute the idle time for eventlog
grouped_eventlog: Compute idle time for grouped eventlog
On the level of the complete event log, the idle time metric provides an overview of summary statistics of the idle time per case, aggregated over the complete event log.
The metric applied on the level of the specific cases in the event log provides an overview of the total idle time per case
On the level of the different traces that occur in the event log, the idle time metric provides an overview of the summary statistics of the idle time for each trace in the event log.
The metric can also be of interest on the level of the resources, to get an insight in the amount of time each resource \"wastes\" during the process.
Swennen, M. (2018). Using Event Log Knowledge to Support Operational Exellence Techniques (Doctoral dissertation). Hasselt University.