factryengine 0.3.0

production / job shop / resource scheduler for Python

📅 factryengine

factryengine is a high-speed Python package for effortless and efficient task scheduling, specifically tailored for production scheduling. Built with numpy, it ensures tasks are executed in the correct order while considering their priorities, resources, and dependencies.

🛠 Installation

Install factryengine with a simple pip command:

pip install factryengine

🌟 Features

• ⚡ Fast Performance: Built with numpy for high-speed task scheduling.
• 🏭 Production Scheduling: Specifically designed for seamless production scheduling.
• 📝 Simple Task Creation: Easily define tasks with attributes like duration, priority, and resources.
• 🛠️ Resource Management: Assign resources with availability windows to tasks.
• 🔄 Task Dependencies: Ensure tasks that depend on others are scheduled in the correct order.
• 📅 Efficient Scheduling: Automatically schedule tasks while considering their priorities and dependencies.

🚀 Quick Start

Get started with factryengine with this basic example:

from factryengine import Task, Resource, Scheduler

# Creating a Resource object
resource = Resource(id=1, available_windows=[(0,10)])

# Creating Task objects
task1 = Task(id=1, duration=3, priority=2, resources=[[resource]])
task2 = Task(id=2, duration=5, priority=1, resources=[[resource]], predecessors=[task1])

# Creating a Scheduler object and scheduling the tasks
scheduler = Scheduler(tasks=[task1, task2])
scheduler_result = scheduler.schedule()

In this example, task1 is scheduled before task2 as task2 depends on task1, despite its lower priority.

📖 Documentation

For more detailed information, check out the documentation.

🤝 Contributing

Contributions, issues, and feature requests are welcome!

📝 License

This project is MIT licensed.