This paper explores two alternative methods to introduce experience and operating preferences during the automatic generation of MILP batch operation models : 1) The imposition of "hard" constraints, which reduce the size of the solution space by dropping task allocations; 2) The addition of "soft" constraints, that tend to preserve desired features of the resulting plan and avoid undesired ones.