Planning optimization made easy.
Timefold is the open source AI solver to optimize operations and scheduling in Java, Python or Kotlin. Timefold is a fork of OptaPlanner by its creator and other experts.v1.7.0Feb 13th, 2024
Timefold can help you solve
Newsletter 2: The past, present and future of OptaPlanner / Timefold
When I started OptaPlanner 18 years ago, I couldn't dare to imagine that one day it would schedule millions of resources. It is amazing. This would not have been possible without the dedication, innovation, and high-quality work that each core and community contributor has brought to the table.
Code automated maintenance scheduling in Java with Timefold
In this video we explain how to code maintenance planning with Timefold, in Java. Ever experienced the joy of hitting a pothole? It’s a reminder of the importance of regular maintenance – not just for roads but for everything from elevators to aircrafts. But how do you ensure these essential services don’t fail when you need them the most? That's where maintenance scheduling come in - and it's more complex than you might think!
Timefold Team Days (fall 2023)
Join us for an exclusive look behind the scenes of the Timefold's Solver Summit. Meet the team behind our groundbreaking solver technology and our company's success. Curious about joining our mission? Explore exciting career opportunities at https://jobs.timefold.ai and be part of our journey!
Mobile Workforce Planning AI - Dispatch field service technicians
Planning a mobile workforce and making sure they are dispatched in the most optimal way. Saving fuel, drive time and more importantly increasing technician productivity. That's what Timefold Solver can do for you. Start building today.
Master Employee Shift Scheduling with AI: A Technical Guide to Timefold Software
In this video we showcase how Timefold's robust constraint-based solver can be seamlessly integrated into your existing software systems, empowering you to automate and optimize shift planning for a workforce. Whether you're a developer or a tech-savvy manager, you'll find valuable insights on enhancing your operational efficiency. Solve your employee shift planning problem with Timefold.
Optimize the world for fun and profit By Geoffrey De Smet, Lukáš Petrovický
Optimizing resource use is key for the continued survival of the human species. From reducing consumption of fossil fuels, to packing your week at Devoxx as much as possible, optimization problems are everywhere. In this deep dive, you’ll learn how to solve them with AI in Java. Optimization is hard. Really hard. All the computing power in the world won’t save you. You’ll have to work smarter, not harder. And we’ll demonstrate that using Timefold, an Apache-licensed Open Source solver. There will be live coding, there will be benchmarks, there will be science, and we can guarantee you will learn something new.
Order fulfillment routing
Unlocking Efficiency in Order Fulfillment: The Perfect Blend of inventory allocation and Vehicle Routing. In the world of logistics, every order is a puzzle, and solving it requires precision. Join us to explore how we tackle this dual challenge head-on, optimizing stock allocation from multiple warehouses while orchestrating the most efficient routes for our vehicles.
Maximizing Factory Production Line Efficiency
Learn how Timefold helps you to reduce setup and changeover costs to maximize efficiency, using food packaging assembly lines as an example. Whether you're in the food industry or any manufacturing field, these insights apply to supercharge your production line!
Code the Capacitated Vehicle Routing Problem (CVRP) in Java
Learn how to solve the capacitated vehicle routing problem (CVRP) in Java with the help Timefold, an open-source solver! Follow along as we guide you through the process, from setting up the repository to customizing the code for your specific needs. Discover how to efficiently manage vehicle capacity constraints and minimize travel distances. Whether you’re a beginner or an experienced developer, this video will help you master vehicle routing problems with ease.
VRP constraints: shift length, service time and lunch breaks
We're thrilled to share a sneak peek of our upcoming educational video, aimed at demystifying the constraints in Vehicle Routing Problems (VRP). Today, we're spotlighting three essential factors: minimizing drive time, managing maximum shift times, and ensuring efficient lunch breaks. Stay tuned for more learnings when we release our full video.
Maintenance scheduling optimization
Unlock the power of maintenance scheduling with Timefold and optimize the planning for maintenance technicians ⚙️🔧. Timefold's Planning Optimization software revolutionizes the way companies handle maintenance scheduling. Say goodbye to manual planning, tedious coordination, and the complexities of managing maintenance tasks.
Optimize employee shift scheduling
Unlock the power of employee shift rostering with Timefold with and optimise your employee planning 👩💼👨⚕️. Our Employee Rostering planning model saves countless hours manually scheduling shifts, handling employee availability, and juggling complex constraints. Discover how Timefold's solver tackles the challenges of employee rostering, creating schedules that not only meet your organization's requirements but also maximize productivity and employee satisfaction.
Optimize the Vehicle Routing Problem (VRP)
Unlock the power of efficient Vehicle Routing (VRP) with and optimise your vehicle routing problem with Timefold 🚚✨. In this video, we dive into the world of Vehicle Routing Problems (VRP) and demonstrate what problems Timefold's advanced solver can tackle related to this. Our VRP software solution frees you of wasteful planning and reduces total drive time by up to 25%, saving on fuel costs, carbon emissions and staffing.
Upgrade OptaPlanner to Timefold
In this tutorial, we'll show you how to effortlessly upgrade your OptaPlanner code to Timefold code in less than 2 minutes. Co-founded by Geoffrey De Smet, the creator of OptaPlanner, Timefold is revolutionary planning optimization software designed to supercharge your planning processes.
Loved by developers, trusted by enterprises
Enterprises optimized their field service technicians routes
Every day their service technicians drive to locations across the country to perform field service jobs. Every job has skill requirements. Most visits have a limited time window. With this technology, enterprises reduced the driving time of their fleet by more than 25%. That significantly increased employee productivity, because technicians spend less time driving and more time working. It also lowered their fuel consumption noticeably.
kg CO² emissions
Exploring Timefold: Optimizing Your Planning Experience
Experience a new era of planning optimization with Timefold. Dive into the world of efficient planning, enhanced performance, and user-centric solutions that empower you to excel in every aspect of your business.
Many optimization solvers are designed for academic or isolated problems, such as the Traveling Salesman Problem, VRP, Bin Packing or Job Shop Scheduling.
In reality, planning problems are more complex. They combine hard/soft constraints from different use cases and often include country or company specific constraints.
Timefold was created to automate real world planning optimization with ease. Solve for hard, soft and other constraints. Reduce costs substantially, improve service quality, fulfill employee wishes and lower carbon emissions. Far more than expected.
Easy to use
Traditionally, optimization solvers are the domain of mathematicians and expensive, specialized Operations Research consultants. You feed those solvers your data as number matrices and your constraints as mathematical equations.
Timefold is build for programmers. You feed it your data as domain classes and define your constraints as code. Let us worry about the math inside the solver. Your code becomes self-explanatory. Integration with other APIs is straightforward.
And when the business rules change constraints - they eventually always do - maintenance is easy.
Timefold Community is Open Source software, released under the Apache License 2.0. Use it in your commercial software, for free. It's a complete and professional solver. We frequently release new features and fixes through Maven Central and Pypi.
Our entire company believes in the power of open source to build high-quality software. Our team participates in the open source community and regularly contributes to other open source projects.
To pay for Timefold Community development, we sell Timefold Enterprise: an extension with high-scalability features and enterprise support.
Scalable and fast
Timefold is extremely fast. It combines performance tricks from metaheuristic algorithms, concurrent programming, database indexes and incremental (delta) calculations with native compilation support.
But speed without scaling is irrelevant. The search space of planning problems scales exponentially to the size of the problem. The quality of a solver on a small dataset says nothing about that solver on a big dataset.
Like other solvers, it's CPU-bound with little to no I/O. Unlike other solvers, memory consumption barely increases as you scale out, making it ideal for cloud deployments.
Timefold is build for operational planning, not just strategic or tactical planning. We deeply understand that a schedule is living, breathing thing. That its requirements change over time. That planning agility is essential for great results.
Therefore, Timefold handles:
- Continuous planning: Publish a schedule every week, several weeks before execution.
- Pinning: Your user is still in control. Timefold plans around their manual assignments.
- Non-disruptive replanning: Handle changing circumstances & minimize impact on existing solutions.
- Overconstrained planning: When there are not enough resources, suggest alternative solutions.
- Real-time planning: React on real-time disruptions of the plan within milliseconds.
Optimize your planning with Timefold today
Take a look at our guides and conquer your first planning problem today. Explore our quickstart examples and copy/paste it to get started. Customize it, integrate it, deploy it, scale it and then watch how your organization becomes more efficient.Quickstart repo