Ciw is a Python package for simulating queueing networks. Since G in M/G/1 can be any distribution with non-negative support, we will use a gamma distribution for the sake of example. A gamma dist...

Ciw is a Python package for simulating queueing networks. A M/M/$\infty queue can be implemented and simulated using Ciw in the following way. import ciw ciw.seed(2018) ARRIVAL_TIME = 1 SERVICE_...

Ciw is a Python package for simulating queueing networks. A M/D/1 queue can be implemented and simulated using Ciw in the following way. import ciw ciw.seed(2018) ARRIVAL_TIME = 1 SERVICE_TIME =...

Here is a list of implementations of classic classes of queueing models. Implementing a M/M/1 Queue in Ciw Implementing a M/M/c Queue in Ciw Implementing a M/M/$\infty$ Queue in Ciw Imple...

Ciw is a Python package for simulating queueing networks. Suppose there are two classes of patient, “Baby” and “Child”, and three service nodes. Both are registered at a receptionist’s desk where ...

Ciw is a Python package for simulating queueing networks. Since G in G/M/1 can be any distribution with non-negative support, we will use a gamma distribution for the sake of example. A gamma dist...

Ciw is a Python package for simulating queueing networks. The two G’s in G/G/1 do not have to be the same distribution, and respectively can be any distribution with non-negative support. We will...

Ciw is a Python package for simulating queueing networks. A D/M/1 queue can be implemented and simulated using Ciw in the following way. import ciw ciw.seed(2018) ARRIVAL_TIME = 1 SERVICE_TIME =...

Ciw is a Python package for simulating queueing networks. A D/M/c queue can be implemented and simulated using Ciw in the following way. import ciw ciw.seed(2018) ARRIVAL_TIME = 1 SERVICE_TIME =...

Introduction This post looks at implementing a simple simulation described in the SImPy documentation using the Ciw Python package. SimPy Simulation On the home page of the SimPy documentation th...