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Maintenance scheduling and inspection planning

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Machinery and other types of equipment in use (such as elevators, airplanes, trains, roads, railroads, electricity grids, …​) tend to deteriorate over time, requiring regular maintenance. Depending on how often each machine requires care, maintenance scheduling decides when and which skilled engineer visits each machine. Optimizing this planning problem with a constraint solver AI saves costs by reducing both too early and too late maintenance, while adhering to other constraints such as skill requirements, employee availability and the geographic location of machines.

Inspection planning for bridges, schools, etc., uses a very similar model to maintenance scheduling.

What is OptaPlanner?

OptaPlanner is the leading Open Source Java™ AI constraint solver to optimize maintenance scheduling, adhering to skill, capacity, SLAs and other constraints.

OptaPlanner is a lightweight, embeddable planning engine. It enables normal Java™ programmers to solve optimization problems efficiently. It is also compatible with other JVM languages (such as Kotlin and Scala). Constraints apply on plain domain objects and can call existing code. There’s no need to input constraints as mathematical equations. Under the hood, OptaPlanner combines sophisticated Artificial Intelligence optimization algorithms (such as Tabu Search, Simulated Annealing, Late Acceptance and other metaheuristics) with very efficient score calculation and other state-of-the-art constraint solving techniques.

OptaPlanner is open source software, released under the Apache License. It is written in 100% pure Java™, runs on any JVM and is available in the Maven Central repository too.

Related videos

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Maintenance scheduling
Geoffrey De Smet 12 Nov 2021
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Maintenance scheduling
Julian Cui 24 Feb 2021
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Routing 2 mechanics with OptaPlanner for Red Hat Summit 2019 keynote
Geoffrey De Smet 13 May 2019

Related blog posts

  • Mechanic scheduling (part 1) - Can OptaPlanner keep up with a keynote audience of thousands?
    Thu 9 May 2019
    Geoffrey De Smet
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  • 8.33.0.Final released
    Tue 24 January 2023
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Latest blog posts
  • Farewell - a new lead
    Tue 15 November 2022
    Geoffrey De Smet
  • Run OptaPlanner workloads on OpenShift, part II
    Wed 9 November 2022
    Radovan Synek
  • Bavet - A faster score engine for OptaPlanner
    Tue 6 September 2022
    Geoffrey De Smet
  • Run OptaPlanner workloads on OpenShift, part I.
    Thu 9 June 2022
    Radovan Synek
  • OptaPlanner deprecates score DRL
    Thu 26 May 2022
    Lukáš Petrovický
  • Real-time planning meets SolverManager
    Mon 7 March 2022
    Radovan Synek
  • OptaPlanner documentation turns over a new leaf
    Tue 26 October 2021
    Radovan Synek
  • Blog archive
Latest videos
  • The Vehicle Routing Problem
    Fri 23 September 2022
    Geoffrey De Smet
  • Introduction to OptaPlanner AI constraint solver
    Thu 25 August 2022
    Anna Dupliak
  • On schedule: Artificial Intelligence plans that meet expectations
    Sat 23 July 2022
    Geoffrey De Smet
  • Host your OptaPlanner app on OpenShift (Kubernetes)
    Mon 7 February 2022
    Geoffrey De Smet
  • OptaPlanner - A fast, easy-to-use, open source AI constraint solver for software developers
    Mon 31 January 2022
  • Order picking planning with OptaPlanner
    Fri 31 December 2021
    Anna Dupliak
  • AI lesson scheduling on Quarkus with OptaPlanner
    Thu 18 November 2021
    Geoffrey De Smet
  • Video archive

OptaPlanner is open. All dependencies of this project are available under the Apache Software License 2.0 or a compatible license. OptaPlanner is trademarked.

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