Ruud van der Ham - Simulation of logistic systems in Python with salabim

Simulation of Logistic Systems with Salabim

• Salabim is a Python library for simulation modeling that uses the process description methodology.
• It can be used for various applications, including logistics, manufacturing, and healthcare.
• Salabim provides a Pythonic way of describing processes, making it easy to model complex systems.
• It includes features such as animation, statistical monitoring, and scheduling.
• Salabim is ideal for modeling systems with complex dynamics and interdependencies.
• It can be used to analyze and optimize system performance, such as reducing waiting times and increasing throughput.
• Salabim has a simple and intuitive syntax, making it easy to learn and use.
• It includes a range of predefined distributions and functions, making it easy to model complex behaviors.
• Salabim can be used to model systems with multiple levels of hierarchy, making it ideal for modeling large-scale systems.
• It includes features such as dynamic scheduling, priority queues, and event-driven processing.
• Salabim is highly customizable, allowing users to tailor the simulation to their specific needs.
• It includes a range of built-in tools and functions, making it easy to analyze and visualize simulation results.
• Salabim is highly extensible, making it easy to add new features and functionality.
• It has a large and active community, providing a range of resources and support.
• Salabim is widely used in various fields, including logistics, manufacturing, and healthcare.
• It has been used to model and simulate complex systems, such as warehouse management systems, manufacturing production lines, and hospital emergency departments.