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Workforce2.java


Workforce2.java


/* Copyright 2017, Gurobi Optimization, Inc. */

/* Assign workers to shifts; each worker may or may not be available on a
   particular day. If the problem cannot be solved, use IIS iteratively to
   find all conflicting constraints. */

import gurobi.*;
import java.util.*;

public class Workforce2 {

  public static void main(String[] args) {
    try {

      // Sample data
      // Sets of days and workers
      String Shifts[] =
          new String[] { "Mon1", "Tue2", "Wed3", "Thu4", "Fri5", "Sat6",
              "Sun7", "Mon8", "Tue9", "Wed10", "Thu11", "Fri12", "Sat13",
              "Sun14" };
      String Workers[] =
          new String[] { "Amy", "Bob", "Cathy", "Dan", "Ed", "Fred", "Gu" };

      int nShifts = Shifts.length;
      int nWorkers = Workers.length;

      // Number of workers required for each shift
      double shiftRequirements[] =
          new double[] { 3, 2, 4, 4, 5, 6, 5, 2, 2, 3, 4, 6, 7, 5 };

      // Amount each worker is paid to work one shift
      double pay[] = new double[] { 10, 12, 10, 8, 8, 9, 11 };

      // Worker availability: 0 if the worker is unavailable for a shift
      double availability[][] =
          new double[][] { { 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1 },
              { 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0 },
              { 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1 },
              { 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1 },
              { 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1 },
              { 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1 },
              { 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 } };

      // Model
      GRBEnv env = new GRBEnv();
      GRBModel model = new GRBModel(env);
      model.set(GRB.StringAttr.ModelName, "assignment");

      // Assignment variables: x[w][s] == 1 if worker w is assigned
      // to shift s. Since an assignment model always produces integer
      // solutions, we use continuous variables and solve as an LP.
      GRBVar[][] x = new GRBVar[nWorkers][nShifts];
      for (int w = 0; w < nWorkers; ++w) {
        for (int s = 0; s < nShifts; ++s) {
          x[w][s] =
              model.addVar(0, availability[w][s], pay[w], GRB.CONTINUOUS,
                           Workers[w] + "." + Shifts[s]);
        }
      }

      // The objective is to minimize the total pay costs
      model.set(GRB.IntAttr.ModelSense, GRB.MINIMIZE);

      // Constraint: assign exactly shiftRequirements[s] workers
      // to each shift s
      for (int s = 0; s < nShifts; ++s) {
        GRBLinExpr lhs = new GRBLinExpr();
        for (int w = 0; w < nWorkers; ++w) {
          lhs.addTerm(1.0, x[w][s]);
        }
        model.addConstr(lhs, GRB.EQUAL, shiftRequirements[s], Shifts[s]);
      }

      // Optimize
      model.optimize();
      int status = model.get(GRB.IntAttr.Status);
      if (status == GRB.Status.UNBOUNDED) {
        System.out.println("The model cannot be solved "
            + "because it is unbounded");
        return;
      }
      if (status == GRB.Status.OPTIMAL) {
        System.out.println("The optimal objective is " +
            model.get(GRB.DoubleAttr.ObjVal));
        return;
      }
      if (status != GRB.Status.INF_OR_UNBD &&
          status != GRB.Status.INFEASIBLE    ) {
        System.out.println("Optimization was stopped with status " + status);
        return;
      }

      // Do IIS
      System.out.println("The model is infeasible; computing IIS");
      LinkedList<String> removed = new LinkedList<String>();

      // Loop until we reduce to a model that can be solved
      while (true) {
        model.computeIIS();
        System.out.println("\nThe following constraint cannot be satisfied:");
        for (GRBConstr c : model.getConstrs()) {
          if (c.get(GRB.IntAttr.IISConstr) == 1) {
            System.out.println(c.get(GRB.StringAttr.ConstrName));
            // Remove a single constraint from the model
            removed.add(c.get(GRB.StringAttr.ConstrName));
            model.remove(c);
            break;
          }
        }

        System.out.println();
        model.optimize();
        status = model.get(GRB.IntAttr.Status);

        if (status == GRB.Status.UNBOUNDED) {
          System.out.println("The model cannot be solved "
              + "because it is unbounded");
          return;
        }
        if (status == GRB.Status.OPTIMAL) {
          break;
        }
        if (status != GRB.Status.INF_OR_UNBD &&
            status != GRB.Status.INFEASIBLE    ) {
          System.out.println("Optimization was stopped with status " +
              status);
          return;
        }
      }

      System.out.println("\nThe following constraints were removed "
          + "to get a feasible LP:");
      for (String s : removed) {
        System.out.print(s + " ");
      }
      System.out.println();

      // Dispose of model and environment
      model.dispose();
      env.dispose();

    } catch (GRBException e) {
      System.out.println("Error code: " + e.getErrorCode() + ". " +
          e.getMessage());
    }
  }
}