README.md

Maintenance Scheduling (Java, Quarkus, Maven)

Schedule maintenance jobs to crews over time to reduce both premature and overdue maintenance.

Constraints

Name	Level	Description
Crew conflict	Hard	A maintenance crew cannot be assigned to two overlapping jobs.
Min start date	Hard	A job must not start before its minimum start date.
Max end date	Hard	A job must not finish after its maximum end date.
Before ideal end date	Soft	Avoid finishing a job too early before its ideal end date.
After ideal end date	Soft	Avoid finishing a job after its ideal end date.
Tag conflict	Soft	Jobs sharing the same tag should not overlap.

• Run the application
• Run the packaged application
• Run the application in a container
• Run it native

Prerequisites

1. Install Java and Maven, for example with Sdkman:

   $ sdk install java
   $ sdk install maven

Run the application

1. Git clone the timefold-quickstarts repo and navigate to this directory:

   $ git clone https://github.com/TimefoldAI/timefold-quickstarts.git
   ...
   $ cd timefold-quickstarts/java/maintenance-scheduling

2. (Optional) If you want to run a licensed edition (Plus / Enterprise), set up your license key first. See the Timefold license tool for instructions.

3. Start the application with Maven:

   1. Community Edition

      $ mvn quarkus:dev

   2. Plus / Enterprise Edition: The profile sets up the correct Maven artifacts to run the licensed version. See the pom.xml for the implementation details.

      $ mvn quarkus:dev -Denterprise

4. Visit http://localhost:8080 in your browser.

5. Click on the Solve button.

Then try live coding:

• Make some changes in the source code.
• Refresh your browser (F5).

Notice that those changes are immediately in effect.

Run the packaged application

When you're done iterating in quarkus:dev mode, package the application to run as a conventional jar file.

1. Compile it with Maven:

   $ mvn package

2. Run it:

   $ java -jar ./target/quarkus-app/quarkus-run.jar

   Note To run it on port 8081 instead, add -Dquarkus.http.port=8081.

3. Visit http://localhost:8080 in your browser.

4. Click on the Solve button.

Run the application in a container

1. Build a container image:

   $ mvn package -Dcontainer

2. Run a container:

   $ docker run -p 8080:8080 $USER/maintenance-scheduling:1.0-SNAPSHOT

Run it native

To increase startup performance for serverless deployments, build the application as a native executable:

1. Install GraalVM and gu install the native-image tool.

2. Compile it natively. This takes a few minutes:

   $ mvn package -Dnative -DskipTests

3. Run the native executable:

   $ ./target/*-runner

4. Visit http://localhost:8080 in your browser.

5. Click on the Solve button.

More information

Visit timefold.ai.