Parallel Simulations of Manufacturing Processing using Simpy, a Python-Based Discrete Event Simulation Tool

SimPy is a Python-based, interpreted simulation tool that offers the power and convenience of Python. It is able to launch processes and sub-processes using generators, which act autonomously and may interact using interrupts. SimPy offers other advantages over competing commercial codes in that it...

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Veröffentlicht in:Proceedings of the 2006 Winter Simulation Conference S. 2294
1. Verfasser: Castillo, V.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2006
Schlagworte:
Contracts
Control systems
Discrete event simulation
Laboratories
Manufacturing processes
Power engineering and energy
Virtual manufacturing
ISBN:1424405009, 9781424405008
ISSN:0891-7736
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Abstract SimPy is a Python-based, interpreted simulation tool that offers the power and convenience of Python. It is able to launch processes and sub-processes using generators, which act autonomously and may interact using interrupts. SimPy offers other advantages over competing commercial codes in that it allows for modular development, use of a version control system such as CVS, can be made self-documenting with PyDoc, and is completely extensible. The convenience of an interpreted language, however, is offset for large models by slower than desired run times. This disadvantage can be compensated for by parallelizing the system using PyMPI, from the Eawrence Eivermore National Eaboratory. This work was performed under the auspices of the U.S. Department of Energy by University of California, Eawrence Livermore National Eaboratory under Contract W-7405-Eng-48
AbstractList SimPy is a Python-based, interpreted simulation tool that offers the power and convenience of Python. It is able to launch processes and sub-processes using generators, which act autonomously and may interact using interrupts. SimPy offers other advantages over competing commercial codes in that it allows for modular development, use of a version control system such as CVS, can be made self-documenting with PyDoc, and is completely extensible. The convenience of an interpreted language, however, is offset for large models by slower than desired run times. This disadvantage can be compensated for by parallelizing the system using PyMPI, from the Eawrence Eivermore National Eaboratory. This work was performed under the auspices of the U.S. Department of Energy by University of California, Eawrence Livermore National Eaboratory under Contract W-7405-Eng-48
Author Castillo, V.
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SubjectTerms Contracts
Control systems
Discrete event simulation
Laboratories
Manufacturing processes
Power engineering and energy
Virtual manufacturing
Title Parallel Simulations of Manufacturing Processing using Simpy, a Python-Based Discrete Event Simulation Tool
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