Siamese Optimizer v0.0.2

Quick update

• Fixed ImportError on newer versions of networkx
• Testing autopublish to PyPI

Siamese Optimizer v0.0.1

This is an initial release of the Siamese Optimizer package.

A Python toolkit for manufacturing and assembly lines simulation and optimization.

Main features

• Create and visualize a production line in a network.
• Simulate throughput, capacity and restrictions of machines and buffers.
• Work with failure times and statistical distributions.
• Generate simulation reports, plots and optimization suggestions.
  Getting Started

---

Firstly, import the simulation building blocks:

>>> from siamese import (
...     Buffer,
...     Line,
...     Machine,
...     Source
... )

Optionally, import some of the support objects from the failure and distribution submodules.

>>> from siamese.failures import TimeFailure
>>> from siamese.distributions import Uniform
>>> ...

Create the Model objects.

>>> entry_buffer = Buffer(
...     name = 'entry_buffer',
...     capacity = 4
... )

>>> source = Source(
...     name = 'source',
...     processing_time = dist.Exponential(1),
...     output_buffer = 'entry_buffer'
... )

>>> first_machine = Machine(
...     name = 'first_machine',
...     processing_time = 2,
...     input_buffer = 'entry_buffer',
...     output_buffer = 'first_buffer',
...     failure = failures.TimeFailure(
...         time_between_failures = dist.Uniform(10,20),
...         time_to_repair = dist.Triangular(1,2,3)
...     )
... )

Feed the Line object with the models.

>>> model = Line(
...     source,
...     first_machine,
...     second_machine,
...     entry_buffer,
...     first_buffer,
...     second_buffer,
...     last_machine,
...     last_buffer
... )

Plot the Line model to visualize your prodution line.

>>> model.plot(seed=4)
Run the simulation to generate reports.
>>> model.simulate(100)
>>> model.report

Home Page

https://github.com/GusFurtado/siamese-optimizer