Allow solution of problems that used to be too big, too complex, or too time-consuming to solve before. Constraints in Model Making 1. Assumptions are always necessary when constructing models. The simpler the model, the easier it is to solve, but the less it reflects reality. Usually only one objective function is optimized at a time.
Real problems can be immense and extremely complex.
Models, even using computers, still cannot approximate reality accurately enough to be useful in all cases. However, the power of computers is growing enormously, and even small expenditures in computers can provide statistical techniques to very small commercial operations.