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JobshopSat.cs
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JobshopSat.cs
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using System;
using System.Collections.Generic;
using System.Linq;
using Google.OrTools.Sat;
class Task
{
public Task(int taskId, int jobId, int duration, int machine)
{
TaskId = taskId;
JobId = jobId;
Duration = duration;
Machine = machine;
Name = "T" + taskId + "J" + jobId + "M" +
machine + "D" + duration;
}
public int TaskId { get; set; }
public int JobId { get; set; }
public int Machine { get; set; }
public int Duration { get; set; }
public string Name { get; }
}
class JobshopSat
{
//Number of machines.
public const int machinesCount = 3;
//horizon is the upper bound of the start time of all tasks.
public const int horizon = 300;
//this will be set to the size of myJobList variable.
public static int jobsCount;
/*Search time limit in milliseconds. if it's equal to 0,
then no time limit will be used.*/
public const int timeLimitInSeconds = 0;
public static List<List<Task>> myJobList = new List<List<Task>>();
public static void InitTaskList()
{
List<Task> taskList = new List<Task>();
taskList.Add(new Task(0, 0, 65, 0));
taskList.Add(new Task(1, 0, 5, 1));
taskList.Add(new Task(2, 0, 15, 2));
myJobList.Add(taskList);
taskList = new List<Task>();
taskList.Add(new Task(0, 1, 15, 0));
taskList.Add(new Task(1, 1, 25, 1));
taskList.Add(new Task(2, 1, 10, 2));
myJobList.Add(taskList);
taskList = new List<Task>();
taskList.Add(new Task(0, 2, 25, 0));
taskList.Add(new Task(1, 2, 30, 1));
taskList.Add(new Task(2, 2, 40, 2));
myJobList.Add(taskList);
taskList = new List<Task>();
taskList.Add(new Task(0, 3, 20, 0));
taskList.Add(new Task(1, 3, 35, 1));
taskList.Add(new Task(2, 3, 10, 2));
myJobList.Add(taskList);
taskList = new List<Task>();
taskList.Add(new Task(0, 4, 15, 0));
taskList.Add(new Task(1, 4, 25, 1));
taskList.Add(new Task(2, 4, 10, 2));
myJobList.Add(taskList);
taskList = new List<Task>();
taskList.Add(new Task(0, 5, 25, 0));
taskList.Add(new Task(1, 5, 30, 1));
taskList.Add(new Task(2, 5, 40, 2));
myJobList.Add(taskList);
taskList = new List<Task>();
taskList.Add(new Task(0, 6, 20, 0));
taskList.Add(new Task(1, 6, 35, 1));
taskList.Add(new Task(2, 6, 10, 2));
myJobList.Add(taskList);
taskList = new List<Task>();
taskList.Add(new Task(0, 7, 10, 0));
taskList.Add(new Task(1, 7, 15, 1));
taskList.Add(new Task(2, 7, 50, 2));
myJobList.Add(taskList);
taskList = new List<Task>();
taskList.Add(new Task(0, 8, 50, 0));
taskList.Add(new Task(1, 8, 10, 1));
taskList.Add(new Task(2, 8, 20, 2));
myJobList.Add(taskList);
jobsCount = myJobList.Count;
}
public static void Main(String[] args)
{
InitTaskList();
CpModel model = new CpModel();
// ----- Creates all intervals and integer variables -----
// Stores all tasks attached interval variables per job.
List<List<IntervalVar>>
jobsToTasks = new List<List<IntervalVar>>(jobsCount);
List<List<IntVar>>
jobsToStarts = new List<List<IntVar>>(jobsCount);
List<List<IntVar>>
jobsToEnds = new List<List<IntVar>>(jobsCount);
// machinesToTasks stores the same interval variables as above, but
// grouped my machines instead of grouped by jobs.
List<List<IntervalVar>>
machinesToTasks = new List<List<IntervalVar>>(machinesCount);
List<List<IntVar>>
machinesToStarts = new List<List<IntVar>>(machinesCount);
for (int i = 0; i < machinesCount; i++)
{
machinesToTasks.Add(new List<IntervalVar>());
machinesToStarts.Add(new List<IntVar>());
}
// Creates all individual interval variables.
foreach (List<Task> job in myJobList)
{
jobsToTasks.Add(new List<IntervalVar>());
jobsToStarts.Add(new List<IntVar>());
jobsToEnds.Add(new List<IntVar>());
foreach (Task task in job)
{
IntVar start = model.NewIntVar(0, horizon, task.Name);
IntVar end = model.NewIntVar(0, horizon, task.Name);
IntervalVar oneTask =
model.NewIntervalVar(start, task.Duration, end, task.Name);
jobsToTasks[task.JobId].Add(oneTask);
jobsToStarts[task.JobId].Add(start);
jobsToEnds[task.JobId].Add(end);
machinesToTasks[task.Machine].Add(oneTask);
machinesToStarts[task.Machine].Add(start);
}
}
// ----- Creates model -----
// Creates precedences inside jobs.
for (int j = 0; j < jobsToTasks.Count; ++j)
{
for (int t = 0; t < jobsToTasks[j].Count - 1; ++t)
{
model.Add(jobsToEnds[j][t] <= jobsToStarts[j][t + 1]);
}
}
// Adds no_overkap constraints on unary resources.
for (int machineId = 0; machineId < machinesCount; ++machineId)
{
model.AddNoOverlap(machinesToTasks[machineId]);
}
// Creates array of end_times of jobs.
IntVar[] allEnds = new IntVar[jobsCount];
for (int i = 0; i < jobsCount; i++)
{
allEnds[i] = jobsToEnds[i].Last();
}
// Objective: minimize the makespan (maximum end times of all tasks)
// of the problem.
IntVar makespan = model.NewIntVar(0, horizon, "makespan");
model.AddMaxEquality(makespan, allEnds);
model.Minimize(makespan);
// Create the solver.
CpSolver solver = new CpSolver();
// Set the time limit.
if (timeLimitInSeconds > 0)
{
solver.StringParameters = "max_time_in_seconds:" + timeLimitInSeconds;
}
// Solve the problem.
CpSolverStatus status = solver.Solve(model);
if (status == CpSolverStatus.Optimal)
{
Console.WriteLine("Makespan = " + solver.ObjectiveValue);
for (int m = 0; m < machinesCount; ++m)
{
Console.WriteLine($"Machine {m}:");
SortedDictionary<long, string> starts = new SortedDictionary<long, string>();
foreach (IntVar var in machinesToStarts[m])
{
starts[solver.Value(var)] = var.Name();
}
foreach (KeyValuePair<long, string> p in starts)
{
Console.WriteLine($" Task {p.Value} starts at {p.Key}");
}
}
}
else
{
Console.WriteLine("No solution found!");
}
}
}