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.

Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

Timefold Solver is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.

This repository presents a project that explores the realm of Predictive Maintenance, focusing on assessing the reliability of a hybrid Markov model compared to traditional models. The objective is to gain insights into optimal strategies for industrial maintenance scheduling.

AI-powered maintenance scheduling system using Deep Q-Learning

How to create a visual, color-coded, and easily adjustable maintenance plan in ASP.NET Core using DayPilot - the open-source calendar/scheduling UI library.