timefold-solver and timefold-quickstarts
The quickstarts repository provides example implementations and tutorials for getting started with the core solver library, making them complementary tools used together rather than alternatives.
About timefold-solver
TimefoldAI/timefold-solver
The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
This tool helps operations managers, schedulers, and resource planners tackle complex scheduling and routing challenges. It takes raw data like available vehicles, employee shifts, or tasks, and generates optimized plans such as efficient delivery routes, balanced staff rosters, or effective maintenance schedules. Its primary users are professionals responsible for allocating resources and managing logistics in various industries.
About timefold-quickstarts
TimefoldAI/timefold-quickstarts
Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
Timefold provides example applications to help you tackle complex scheduling and resource allocation challenges. It takes your existing requirements for things like vehicle routes, employee shifts, or production orders, and generates an optimized plan. Anyone responsible for operations, logistics, human resources, or facility management will find these examples useful.
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