TestMIMAC.java Source code

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Here is the source code for TestMIMAC.java

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/*******************************************************************************
 * This file is part of jasima, v1.3, the Java simulator for manufacturing and 
 * logistics.
 *  
 * Copyright (c) 2015       jasima solutions UG
 * Copyright (c) 2010-2015 Torsten Hildebrandt and jasima contributors
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Affero General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Affero General Public License for more details.
 *
 * You should have received a copy of the GNU Affero General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
import static org.junit.Assert.assertEquals;
import jasima.core.random.RandomFactory;
import jasima.core.random.RandomFactoryOld;
import jasima.core.random.continuous.DblDistribution;
import jasima.core.random.continuous.DblStream;
import jasima.core.random.continuous.DblUniformRange;
import jasima.core.random.discrete.IntUniformRange;
import jasima.core.statistics.SummaryStat;
import jasima.shopSim.core.batchForming.HighestJobBatchingMBS;
import jasima.shopSim.models.mimac.MimacExperiment;
import jasima.shopSim.models.mimac.MimacExperiment.DataSet;
import jasima.shopSim.prioRules.basic.TieBreakerFASFS;
import jasima.shopSim.prioRules.setup.ATCS;

import java.util.Map;

import org.apache.commons.math3.distribution.ExponentialDistribution;
import org.junit.BeforeClass;
import org.junit.Test;

import util.ExtendedJobStatCollector;

/**
 * 
 * @author Torsten Hildebrandt <hil@biba.uni-bremen.de>
 * @version $Id: TestMIMAC.java 550 2015-01-23 15:07:23Z thildebrandt@gmail.com
 *          $
 */
@SuppressWarnings("deprecation")
public class TestMIMAC {

    @BeforeClass
    public static void setUp() {
        System.out.println("setting up");
        System.setProperty(RandomFactory.RANDOM_FACTORY_PROP_KEY, RandomFactoryOld.class.getName());
    }

    public MimacExperiment createExperiment() {
        MimacExperiment e = new MimacExperiment();
        e.setInitialSeed(-6437543093816807328l);
        e.setScenario(DataSet.FAB4r);
        DblStream arrivals1 = new DblDistribution(new ExponentialDistribution(1440d / 4.5));
        DblStream arrivals2 = new DblDistribution(new ExponentialDistribution(1440d / 10.5));
        e.setInterArrivalTimes(new DblStream[] { arrivals1, arrivals2 });
        e.setDueDateFactors(new DblUniformRange(2.0, 5.0));
        e.setJobWeights(new IntUniformRange(1, 10));
        e.setSimulationLength(6 * 365 * 24 * 60);
        e.setMaxJobsInSystem(3 * 250);
        e.setEnableLookAhead(false);

        ExtendedJobStatCollector stats = new ExtendedJobStatCollector();
        stats.setInitialPeriod(365 * 24 * 60);
        e.addShopListener(stats);

        ATCS atcs = new ATCS(0.01, 0.5);
        atcs.setTieBreaker(new TieBreakerFASFS());
        e.setSequencingRule(atcs);

        e.setBatchForming(new HighestJobBatchingMBS(0.75));

        return e;
    }

    @Test
    public void testPrioQueueAssertion() throws Exception {
        MimacExperiment e = createExperiment();

        e.runExperiment();
        e.printResults();

        Map<String, Object> res = e.getResults();

        check("flowMean", 12499.1164, 0.0001, res);
        check("tardMean", 2192.6347, 0.0001, res);
        // check("tardPercentage", 0.6811, 0.0001, res);
        check("tardPercentage", 0.8148, 0.0001, res);
        check("weightedTardMean", 7031.1629, 0.0001, res);
        check("numJobsStarted", 32926, 0.0001, res);
        check("numJobsFinished", 32799, 0.0001, res);
        check("expAborted", 0.0, 0.0001, res);
    }

    private void check(String name, double expected, double precision, Map<String, Object> res) {
        Object o = res.get(name);
        double d = o instanceof SummaryStat ? ((SummaryStat) o).mean() : ((Number) o).doubleValue();
        assertEquals(name, expected, d, precision);
    }

}