maintenance-scheduling

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.

A LEO satellite fleet health management platform using real ISS telemetry to demonstrate predictive maintenance, anomaly detection, and operational decision support capabilities.

RailPlan — explainable railway access planning with native OR-Tools CP-SAT scheduling, scenario comparison, disruption review, and exact CSV exports.

Minimizing wind farm maintenance costs through a Boolean Integer Linear Programming (BILP) model using the PuLP library.

This extension uses chrome.storage.local to store user-provided equipment logs and alarms to trigger local notifications for maintenance deadlines. No data is collected or transmitted to external servers.

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.

Restless multi-armed bandit experiments for road digital twin maintenance scheduling

Preventive maintenance scheduling for an aircraft fleet with a genetic algorithm (DEAP) under hangar, labour and spare-part limits. Weibull risk model, benchmarked against fixed-interval rules and an exact OR-Tools CP-SAT model, plus an NSGA-II cost-vs-risk Pareto front. Cuts expected cost ~25% vs fixed intervals, within ~2% of optimal.

I've open-sourced Delegator v5.2.1: a state-based AI scheduler designed for large-scale public park maintenance planning in Japan. It converts playground inspection scores into actionable repair/update schedules under budget and workforce constraints — all in under 2 seconds across 1,300+ units. Scalable. Transparent. Real.

AI-powered maintenance scheduling system using Deep Q-Learning

ASP.NET Core Maintenance Scheduling (Open-Source)

Laboratory scheduling of maintenance work: crews, outage windows, spare parts, and frozen planned requests. SynAPS searches for slots; a separate fail-closed checker in Python and Rust checks the rules. Synthetic fixtures. ISO 16290 TRL 4 self-assessment: a laboratory, not a plant pilot or a certificate.