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OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the examples which demonstrate how to use it in a normal Java application.

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/*
 * Copyright 2021 Red Hat, Inc. and/or its affiliates.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.optaplanner.examples.batchscheduling.app;

import org.optaplanner.examples.batchscheduling.domain.BatchSchedule;
import org.optaplanner.examples.batchscheduling.swingui.BatchSchedulingPanel;
import org.optaplanner.examples.common.app.CommonApp;
import org.optaplanner.examples.common.swingui.SolutionPanel;
import org.optaplanner.persistence.common.api.domain.solution.SolutionFileIO;
import org.optaplanner.persistence.xstream.impl.domain.solution.XStreamSolutionFileIO;

public class BatchSchedulingApp extends CommonApp {

    public static final String SOLVER_CONFIG =
            "org/optaplanner/examples/batchscheduling/batchSchedulingSolverConfig.xml";
    public static final String DATA_DIR_NAME = "batchscheduling";

    // Determines rounding logic. If fractional value is more than specified number
    // (e.g. 20), then the value is rounded off to next higher value.
    // Minimum value is 0 and maximum 100
    public static final Integer FRACTIONAL_VOLUME_PERCENTAGE = 20;

    // Scaling parameter. Lower value indicates more processing time but accurate
    // result.
    // Minimum value 1. No Maximum defined but it depends on the volume present in
    // the batches.
    // Note: This is an example of process manufacturing (not discrete
    // manufacturing). As such, variables (i.e. batch volume) needs to be split into
    // quantifiable unit.
    public static final Integer PERIODINTERVAL_IN_MINUTES = 5;

    // CURRENT_SEGMENT_NON_ALLOCATION_PENALTY and OTHER_SEGMENT_ALLOCATION_PENALTY are used to compute
    // hard0Score (and not hard1Score)
    // SELECTED_ROUTEPATH_NON_ALLOCATION_PENALTY indicates penalty applied per Batch if delay is not set for any segment in the selected RoutePath 
    // NON_SELECTED_ROUTEPATH_ALLOCATION_PENALTY indicates penalty applied per Batch if delay is set for any segment that is not the selected RoutePath 
    public static final int SELECTED_ROUTEPATH_NON_ALLOCATION_PENALTY = 1;
    public static final int NON_SELECTED_ROUTEPATH_ALLOCATION_PENALTY = 1;

    public static final String ROUTE_PATH_SEPERATOR = "---";

    public static void main(String[] args) {
        prepareSwingEnvironment();
        new BatchSchedulingApp().init();
    }

    @Override
    public SolutionFileIO createSolutionFileIO() {
        return new XStreamSolutionFileIO<>(BatchSchedulingApp.class);
    }

    public BatchSchedulingApp() {
        super("Batch Scheduling",
                "Official competition name:" +
                        " commodity scheduling problem in a pipeline grid MRCMPSP)\n\n" +
                        "Schedule all batches.\n\n" +
                        "Minimize delivery time and maximize segments utilization.",
                SOLVER_CONFIG, DATA_DIR_NAME,
                BatchSchedulingPanel.LOGO_PATH);
    }

    @Override
    protected SolutionPanel createSolutionPanel() {
        return new BatchSchedulingPanel();
    }
}