Simantha: Discrete Event Simulation for Manufacturing Systems
Simantha is a package for simulating discrete manufacturing systems. It is designed to model asynchronous production systems with finite buffers.
The package provides classes for the following core manufacturing objects that are used to create a system:
Source: Introduces raw, unprocessed parts to the system.
Machine: Continuously retrieves, processes, and relinquishes parts. May also be subject to periodic degradation, failure, and repair.
Buffer: Stores parts awaiting processing at a machine.
Sink: Collects finished parts that exit the system.
Maintainer: Repairs degrading machines according to the specified maintenance policy.
Simantha can be installed via
pip install simantha
The following is an example of the creation and simulation of a simple two-machine one-buffer line.
from simantha import Source, Machine, Buffer, Sink, System # Create objects source = Source() M1 = Machine(name='M1', cycle_time=1) B1 = Buffer(name='B1', capacity=5) M2 = Machine(name='M2', cycle_time=1) sink = Sink() # Specify routing source.define_routing(downstream=[M1]) M1.define_routing(upstream=[source], downstream=[B1]) B1.define_routing(upstream=[M1], downstream=[M2]) M2.define_routing(upstream=[B1], downstream=[sink]) sink.define_routing(upstream=[M2]) # Create system system = System(objects=[source, M1, B1, M2, sink]) # Simulate system.simulate(simulation_time=100) # Output # Simulation finished in 0.00s # Parts produced: 99
- System Model
- Simantha Reference
- Use Cases