Description

This virtual downloadable product comprises a Python framework with an executable example application (meant as a template for customization). The framework can be used for modeling AGV transports in a warehouse, factory or terminal. A u-shaped warehouse with its internal AGV transports is simulated as an exemplary use case.

The project is developed in Python, using SimPy (a free and simple simulation engine in Python), and supports parametrization of relevant model settings. This downloadable virtual product furthermore also supports tracking of relevant KPIs. You can use the downloaded framework to model, dimension, and analyze your warehouse, terminal, or factory operations.

Below video demonstrates the configurable model parameters that are supported by the framework and exemplary simulation model implementation. The video furthermore also shows some of the statistics that are tracked by the framework.

In detail, this virtual downloadable product contains the following files:

• requirements.txt – lists the required Python module dependencies for pip install (pip install -r “requirements.txt”)
• main.py – executable Python script that contains an exemplary simulation model, implemented by applying the classes and functions provided through the other modules in the project folder
• model.py – implements the material flows; if you want to make adjustments to the material flows or add additional material flows, do so here
• config.py – allows you to adjust relevant parameters such as the amount, type and position of interchanges, amount of AGVs, AGV speed, turn time per AGV turn, etc.
• framework.py – provides classes for modeling Proc agents (processing points), AGVs, and Jobs; also provides Stats class for collecting data throughout the simulation
• tools.py – provides functions for data visualization (state distribution chart and throughput chart)

Below is a screenshot of the project content.

The docs folder contains a use case presentation with an exemplary use case. It demonstrates how to consume the framework and how to develop a simulation model using the framework. The use case simulates AGV transport in a warehouse with a u-shaped layout.

Configurable parametrization

Parameters can be configured directly in the configuration file (config.py), and some additional parameters can be specified when creating instances of the classes provided by the framework. Below is an overview of the parametrization supported by the configuration file and the framework.

Relevant assumptions and constraints

The simulation model and framework ignores collision avoidance between AGVs at traffic crossings. On average, an assumed loss of cycle time per AGV move can be assumed and added to the turn time parameter, in order for this lost time to be considered by throughput and utilization simulation.

Collision avoidance can be implemented into the framework as part of a customization effort. Please contact us for this using this contact form.