Originally posted by: MMM12

Bonjour,

I have read toturial and manual of OPL CPLEX to find how I can write a model using tuple but I was confused because of several ways of using tuples.

I copy paste a part of my model to help how I can write a tuple function and how I can rewrite the constraint below.

inta=...;

intb=...;

intc=...;

intd=...;

inte=...;

bigM=10000

//sets:

rangeA = 1.. a;

rangeB = 1.. b;

rangeC = 1.. c;

rangeD = 0.. d;

rangeE = 1.. e;

//parameters:

intdemand[C][D][E]=...;

//desicion variable:

dvar booleanV[B][C][D][E];

dvar float+F[B][C][D][E];

dvar float+R [C][D][E];

//a constarint of model;

forall(jin B) forall(k in C) forall (t in t:t>=1) forall(s in E) 

F[j][k][t][s]<=-R[k][t][s]+R[k][t-1][s]+demand[k][t][s]+bigM*(1-V[j][k][t][s]);

 

thank you in advance.

#DecisionOptimization
#OPLusingCPLEXOptimizer

Originally posted by: StephenHall

you can do it with

tuple demand ={  // create the type of tuple needed

    int c;

    int d;

    int e;

    float demand;

    };

    

{demand} Demands = ...;  //create the set of tuple demand'¨

//that allow to load it from an excel file or database

subject to{

// here is your constraint

forall(j in B, d in Demands, t in Periods: t>1)

     F[j][t][d.e] <= -R[d.c][t][d.e] + R[d.c][t-1][d.e] + d.demand +

                            bigM * (1 - v[j][d.c][t][d.e]);

    };

 

I hope that help

#DecisionOptimization
#OPLusingCPLEXOptimizer