public static void AddWorkStations(ToyFab toyFab, ToyFabSettings toyFabSettings, Simulation sim)
{
// Observers
LotOutObserver LotOutObserver = new LotOutObserver(sim, "LotOutObserver");
RewardObserver RewardObserver = new RewardObserver(sim, "RewardObserver", Program.WSWithRLDispatcher);
toyFab.Subscribe(RewardObserver);
// Work stations
foreach (string wc in toyFabSettings.WorkStations)
{
WorkStation workStation = new WorkStation(toyFab, $"WorkCenter_{wc}", toyFabSettings.LotStepsPerWorkStation[wc]);
workStation.DispatcherWarmUp = new FIFODispatcher(workStation, workStation.Name + "_FIFODispatcher");
workStation.Dispatcher = new FIFODispatcher(workStation, workStation.Name + "_FIFODispatcher");
QueueObserver queueObserver = new QueueObserver(sim, $"Queue_{wc}");
workStation.Subscribe(queueObserver);
// Machines
foreach (MachineData m in toyFabSettings.Machines.Where(x => x.WorkStation == wc))
{
Machine machine = new Machine(toyFab, $"{workStation.Name}_Machine{m.Number}", new GammaDistribution(m.MeanServiceTime, Math.Pow(m.COVServiceTime * m.MeanServiceTime, 2)), workStation, m.Number);
//Machine machine = new Machine(toyFab, $"{workStation.Name}_Machine{m.Number}", new NonNegativeNormalDistribution(m.MeanServiceTime, m.COVServiceTime * m.MeanServiceTime), workStation, m.Number);
//Machine machine = new Machine(toyFab, $"{workStation.Name}_Machine{m.Number}", new ExponentialDistribution(1 / m.MeanServiceTime), workStation, m.Number);
machine.Eligibilities = m.Eligibilities;
machine.Subscribe(LotOutObserver);
workStation.Machines.Add(machine);
}
toyFab.AddWorkCenter(workStation.Name, workStation);
}
}
protected override void OnReplicationEnd(ModelElementBase modelElement)
{
ToyFab toyFab = (ToyFab)modelElement;
replicationReward += toyFab.Reward.GetFinalReward();
Reward.Collect(replicationReward);
}
public static void RunNormalSimulation()
{
string inputDir = Path.GetFullPath(Path.Combine(Directory.GetCurrentDirectory(), @"..\..\..\", "Parameters", ParametersDirectory));
string outputDir = @"C:\CSSLWaferFab\Output\RLToyFab\";
CSSL.Modeling.Settings.WriteOutput = true;
// Fab settings
//IDataReader reader = new DataReader1(inputDir);
IDataReader reader = new DataReader2(inputDir);
ToyFabSettings toyFabSettings = reader.ReadToyFabSettings();
// Build Fab
Simulation sim = new Simulation("RLToyFab", outputDir);
// Experiment settings
sim.MyExperiment.NumberOfReplications = 10;
sim.MyExperiment.LengthOfWarmUp = LengthOfWarmUp;
sim.MyExperiment.LengthOfReplication = LengthOfReplication;
// Build the model
ToyFab toyFab = new ToyFab(sim.MyModel, "WaferFab")
{
LotSteps = toyFabSettings.LotSteps,
LengthOfWarmUp = LengthOfWarmUp
};
AddWorkStations(toyFab, toyFabSettings, sim);
foreach (var sequence in toyFabSettings.Sequences)
{
toyFab.AddSequence(sequence.Key, sequence.Value);
}
toyFab.SetLotGenerator(new LotGenerator(toyFab, "LotGenerator", NumberOfLots));
sim.Run();
// Report summary
SimulationReporter reporter = sim.MakeSimulationReporter();
reporter.PrintSummaryToFile();
reporter.PrintSummaryToConsole();
}
public RewardODDScaled(ToyFab toyFab) : base(toyFab, "RewardODDScaled")
{
this.toyFab = toyFab;
}
public RewardThroughputTardiness(ToyFab toyFab, double weight = 1) : base(toyFab, "RewardThroughputTardiness")
{
this.toyFab = toyFab;
DepartedLots = new List <Lot>();
Weight = weight;
}
protected override void OnInitialized(ModelElementBase modelElement)
{
ToyFab toyFab = (ToyFab)modelElement;
toyFab.Reward.Initialize();
}
protected override void OnUpdate(ModelElementBase modelElement)
{
ToyFab toyFab = (ToyFab)modelElement;
replicationReward += toyFab.Reward.GetReward();
}
public RewardODD(ToyFab toyFab) : base(toyFab, "RewardODD")
{
this.toyFab = toyFab;
}
public StateDeductedActionSpace(ToyFab toyFab, int JobCountInAction)
{
this.toyFab = toyFab;
FullState = new double[7][];
this.JobCountInAction = JobCountInAction;
}
public RewardThroughput(ToyFab toyFab, int weight = 1) : base(toyFab, "RewardThroughput")
{
this.toyFab = toyFab;
DepartedLots = new List <Lot>();
Weight = weight;
}
public RewardODDScaledSingle(ToyFab toyFab) : base(toyFab, "RewardODDScaledSingle")
{
this.toyFab = toyFab;
}
public State(ToyFab toyFab)
{
this.toyFab = toyFab;
FullState = new double[6][];
}
