Streamline Production Schedules to Maximize Throughput
Atlas Schedule Software
Confidently Manufacture Greater Efficiency
Harness the full potential of variable plant resources, materials and capacity, and create efficiency out of complexity through advanced scheduling. With Atlas Schedule you can quickly translate master production plans into smart daily manufacturing schedules by optimizing the allocation of resources and production capacity to meet demand as efficiently as possible.
Optimize Detailed Production Scheduling
What-if Scenarios to Enhance Planning
AI-Powered Automation for NextGen Scheduling
Schedule with Confidence. Execute with Agility
Take control of complex production environments. Atlas Schedule helps you optimize resources, navigate constraints and quickly respond to change. Harness AI, advanced analytics and real-time insights to keep production moving and maximize throughput.
Advanced Production Scheduling
Translate master production plans into optimized, executable daily schedules. Allocate materials, resources and capacity efficiently while accounting for production constraints, sequence rules, changeovers and variable BOMs.
Optimize Capacity & Throughput
Maximize the use of equipment, labor and other plant resources to increase throughput and minimize downtime. Flexible scheduling views, KPIs and scorecards give planners visibility into capacity utilization and performance.
Model Complexity Across the Supply Chain
Build a digital representation of your production environment to model constraints, dependencies, material availability and network complexity. Understand the end-to-end impact of scheduling decisions before putting them into action.
AI-Powered Scenario Planning
Test multiple production scenarios to understand trade-offs and identify the best course of action. Compare potential schedules against strategic and commercial goals, then confidently execute the option that delivers the greatest value.
AI for Proactive Scheduling
Use AI-powered recommendations, prescriptive analytics and real-time data to make smarter scheduling decisions. Get recommendations on order quantities and production timelines, helping you quickly anticipate issues and respond.
Real-Time Visibility & Dynamic Rescheduling
Stay ahead of disruptions with real-time visibility into bottlenecks, exceptions and changing conditions. Quickly adjust schedules when demand shifts, orders change or delays occur, with alerts and automation to accelerate decisions.

Harness the power and speed of AI to help you determine the best course of action. Automate scheduling and access intelligent recommendations. Stop firefighting and start managing by exception and quickly adjust the schedule based on real-time information from manufacturing execution systems (MES), raw materials or blends shipping status, while simultaneously bringing in multiple internal and external data sources.
Start. Automatically create feasible, optimized production schedules synchronized across any number of plants.
Evolve. Gain real-time visibility into production bottlenecks and utilize intelligent recommendations to re-schedule on the fly.
Accelerate. Confidently achieve the highest potential plant throughput possible in accordance with your business and profit goals.
Transform. Transform uncertainty into opportunity with optimized production scheduling that seamlessly aligns with broader organizational initiatives and commercial strategies to ensure strategic planning, trade-off analysis, and scheduling are all in sync.
Easy to Use Scheduling for Manufacturers and Producers
AI for Smarter Scheduling
Artificial Intelligence and Machine Learning are embedded across the Atlas Planning Platform. We make AI available to everyone, regardless of your role or skill level. We believe AI should be easy to use, easy to understand and quick to deliver value.
AI-Driven Scheduling
Make the most of AI in Atlas by helping you find the right path forward. Gain unparalleled access to actionable insights and shift from reactive to proactive exception-based management. Real-time visibility into MES, raw materials, shipping status, and other data sources helps you improve decision making and adjust your schedules on the fly, all while harnessing the speed and power of AI to drive scheduling excellence.
Get More Strategic with a Digital Twin
Atlas’ AI runs thousands of variations so you can model network complexity. An AI-powered digital supply chain twin allows you to generate countless what-if scenarios, compare them against goals, and understand the impact across the end-to-end supply chain, all without affecting the live planning environment. Optimize your operations over time with experiment-based planning to create, test, and implement new policies and improve your strategies.
Rich Insights to Drive Your Plan
Atlas’ AI reviews and inspects all of your data to uncover hidden relationships, helping you understand changes in your environment and the broader market. Advance your end-to-end supply planning with AI techniques driving deeper, richer insights into your business.
End-to-End Supply Chain Orchestration
Atlas’ unified data model seamlessly connects every aspect of your supply chain, from demand planning to order fulfillment, all in one location. No more juggling between different systems or sources for critical data, Atlas brings it all together for you.
Discover the Power of Advanced Planning and Scheduling
Today’s business complexity and increasing uncertainty call for a next-generation, AI-powered scheduling and planning solution to enhance supply chain agility. Optimize your production schedules in seconds and stay ahead of uncertainty.
By extending John Galt’s award-winning Atlas Planning Platform with advanced detail production scheduling capabilities, you can:
- Immediately create feasible, optimized production schedules
- Gain real-time visibility into production bottlenecks and utilize intelligent recommendations to quickly re-schedule following user-defined priorities and rules
- Run scenarios that optimize based on different goals / objectives, forecasts, and more to understand impacts (e.g. service, revenue, efficiency, inventory) to support broader strategies
- Transform KPIs such as cycle time, throughput rate, and capacity utilization into real-world plans














