Marine shipping simulation model in SimPy
This downloadable virtual product contains a marine shipping SimPy simulation framework and model for barge transport. Specifically, the product comprises a Python framework and tutorial for simulating barge transports on a river.
A case study is included by the downloadable product. The case study demonstrates barge transport simulation for marine shipping on the Mississippi River. The case study comprises a problem description and exemplary model implementation in Python. The model implementation consumes the framework and solves the case study.
In short this downloadable Python project comprises:
- Framework in Python for modelling and simulating barge transports.
- Detailed case study description of barge transport between Cairo and New Orleans.
- Example model consuming the framework and solving the case study.
- Configuration file with relevant parameters related to the case study.
- 1-hour video call for model training and/or adjust with the model developer.
The framework uses SimPy and implements a discrete-event simulation approach. The framework tracks and visualizes relevant KPIs.
Who will benefit from this barge transport SimPy model?
This downloadable simulation product suits supply chain analysts, operations researchers, transport planners, and students that want to:
- Learn about discrete-event simulation in Python (SimPy).
- Learn about barge transport planning and operation.
- Learn how to model barge transport processes in Python (SimPy).
- Improve existing barge transport processes and projects.
This virtual product includes 1 hour of customizable training, in the form of a video call. This training takes place in a way that best suits your needs.
You can learn more about SimPy in e.g. the following articles:
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