Schedule food packaging orders to manufacturing lines, to minimize downtime and fulfill all orders in time.
| Name | Level | Description |
|---|---|---|
| Max end date time | Hard | A job must finish before its maximum end time. |
| Operator cleaning conflict | Hard | An operator cannot be assigned to a job during their cleaning time. |
| Ideal end date time | Medium | A job should ideally finish before its ideal end time. |
| Maximize jobs assigned | Medium | Assign as many jobs as possible. |
| Minimize makespan | Soft | Minimize the total production time. |
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Install Java and Maven, for example with Sdkman:
$ sdk install java $ sdk install maven
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Git clone the timefold-quickstarts repo and navigate to this directory:
$ git clone https://github.com/TimefoldAI/timefold-quickstarts.git ... $ cd timefold-quickstarts/java/food-packaging -
(Optional) If you want to run a licensed edition (Plus / Enterprise), set up your license key first. See the Timefold license tool for instructions.
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Start the application with Maven:
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Community Edition
$ mvn quarkus:dev
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Plus / Enterprise Edition: The profile sets up the correct Maven artifacts to run the licensed version. See the
pom.xmlfor the implementation details.$ mvn quarkus:dev -Denterprise
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Visit http://localhost:8080 in your browser.
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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.
When you're done iterating in quarkus:dev mode, package the application to run as a conventional jar file.
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Compile it with Maven:
$ mvn package
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Run it:
$ java -jar ./target/quarkus-app/quarkus-run.jar
Note To run it on port 8081 instead, add
-Dquarkus.http.port=8081. -
Visit http://localhost:8080 in your browser.
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Click on the Solve button.
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Build a container image:
$ mvn package -Dcontainer
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Run a container:
$ docker run -p 8080:8080 --rm $USER/food-packaging:1.0-SNAPSHOT
To increase startup performance for serverless deployments, build the application as a native executable:
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Compile it natively. This takes a few minutes:
$ mvn package -Dnative -DskipTests
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Run the native executable:
$ ./target/*-runner -
Visit http://localhost:8080 in your browser.
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Click on the Solve button.
Visit timefold.ai.
