Optimization, Python, Linear Optimization, Operations Research.
of goods <= factory capacityy for j in J: tmpExpression = pulp.LpAffineExpression(e = [(x[i,j], 1) for j in J if (i,j) in x]) tmpConstraint = pulp.LpConstraint(e = pulp.lpSum(tmpExpression), sense = pulp.LpConstraintLE, rhs = M[j]) model.addConstraint(tmpConstraint) Pyomo # Constraints: sum of