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A proposed simulation measurement model is developed which does not rely on the assumption that elements are random variables; therefore, it is based on the assumption that different times exist for the elements, depending upon their sequence of occurrence. By recognizing the sequential arrangement of elements, the interdependence among the elements is recognized. The proposed model includes a learning factor which reduces initial times in relation to the learning which occurs with each subsequent cycle. The model also provides flexibility for expressing the time values themselves. The mean value can still be used, but a randomly selected distribution of values or the operator's own times can be relied on whenever the analyst so desires.

Intermittent interference with pseudorepetitive operations is investigated to determine the effects of interruption on the task to perform a sequence of motions. An examination is made of several assumptions which underlie the traditional measurement process to determine whether their theoretical validities support the usage to which the measurement process has been adapted. For the experiment conducted, motions were found to be interdependent. The motion times depended, not only on the work performed, but on the sequence in which the work was performed as well.