Multiserver: Multiserver
In MQ-STAT1378/assignment2-question2-caitlinapcar: Multiserver - Bank Queuing, Determined by Fate?
Description
Usage
Arguments
Value
Examples
Description
Simulates how customers in line at the bank go through a
"first come first serve" queuing system as long as their arrival and service times have already been predetermined.
Usage
1
Multiserver(Arrivals, ServiceTimes, NumServers = 1)
Arguments
Arrivals
Number of Customer Arrivals
ServiceTimes
How long a customer's service takes.
NumServers
The number of servers currently working. This will always be
an integer.
Value
Either a table or single tuple containing the arrivals, service start/end time
and the number of servers
Examples
1
Multiserver(Arrivals = bank$arrival_time, ServiceTimes = bank$service_time, 5)
MQ-STAT1378/assignment2-question2-caitlinapcar documentation built on Dec. 17, 2021, 2:12 a.m.
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Description Usage Arguments Value Examples
Description
Simulates how customers in line at the bank go through a "first come first serve" queuing system as long as their arrival and service times have already been predetermined.
Usage
1 | Multiserver(Arrivals, ServiceTimes, NumServers = 1)
|
Arguments
Arrivals |
Number of Customer Arrivals |
ServiceTimes |
How long a customer's service takes. |
NumServers |
The number of servers currently working. This will always be an integer. |
Value
Either a table or single tuple containing the arrivals, service start/end time and the number of servers
Examples
1 | Multiserver(Arrivals = bank$arrival_time, ServiceTimes = bank$service_time, 5)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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