The proposed MLP ANN based model is a single, simple, new and
an accurate one. The model can be easily used for the estimation of
standard time. A distinct advantage of the model is that, after proper
training the model completely bypasses the repeated use of complex
iterative processes for the new cases presented to it. Thus, the model
is very fast after the training phase and can be used effectively in real
time applications. It should also be emphasized that better results
may be obtained either by choosing different training and test data
sets from the ones used this study or by supplying more input data set
values for training. Companies that do not know the standard time of
their products due to the measurement difficulties and other
economic factors can easily obtain these time values more accurately
in order to aid their critical management decisions.
In literature, when using CPM, the situation of the product is the
most important factor. The method requires a value assigned
according to the experience of the one who has applied the TS. For
this reason, CPM can be highly subjective. Furthermore, it is a method
where all the time effecting factors are not taken into consideration.
SDF is not able to produce accurate results in every case.
When the companies in this area develop same kind of similar
models and use minimal practical software, they can easily calculate
the standard time of the products which are to be designed or
produced. On the other hand, it is not easy to apply for every
product, semi-product or manufacturing processes. This can be
counted as a disadvantage. However, the method is very efficient in
similar manufacturing processes of various products.