Tackle even the most complex scheduling challenges with AMPL’s advanced optimization tools and integrations. From workforce planning and production scheduling to shift design and resource allocation, you can build robust models on your own or work with us to deliver full-scale, customized scheduling solutions.
Scheduling Models on Google Colab
Explore ready-to-run scheduling optimization models on Colab to accelerate learning and prototyping.
Aircrew Scheduling Streamlit App
This app models a realistic trainee scheduling problem with classroom limits, language and seniority constraints, and ranked preferences—using PBS-style secondary objectives for efficient handling of seniority rules.
MP Modeling Guide
Learn how to use the AMPL MP library to create flexible, solver-agnostic optimization models that work seamlessly with AMPL solvers.
Python & AMPL for Modern Optimization – amplpy
Integrate AMPL seamlessly with Python using amplpy for flexible, high-performance modeling.
Consulting Plans – Let’s Build Together
Partner with our team to design and deliver tailored optimization solutions for your challenges.
Technical Support Plans
Get expert help when you need it with support plans designed to keep your models running smoothly.
Access a complete optimization application building platform with simple pricing, or work with our team to design a custom tool specifically for your business needs.
Get in touch to book a time for us to talk about your specific needs, and demo real solutions.
From startups to Fortune 500s, explore how industry-leading companies use AMPL to optimize complex problems.