As computer-based manufacturing systems become more complex, performance of
the human in such systems becomes more critical due to the assignment of c
ognitive and decision making tasks to the shop floor. The objective of this
research is to test the theoretical model of human skill requirements and
acquisition associated with the operation of Advanced Manufacturing Technol
ogy (AMT) developed in a previous work. An operational model is developed f
rom the theoretical model and tested. Specifically, it is proposed that men
tal workload capacity and ability level within an individual can be combine
d to determine an individual's "ability margin". Twelve subjects performed
figure comparison tasks in which perceptual speed and visualization ability
requirements were manipulated. Results support the concept of an ability m
argin. The significance of this research lies in its contribution to develo
ping a new and effective methodology for predicting, in a systematic and st
ructured way, the available cognitive resources and abilities required to o
perate, maintain and manage AMT in the workplace. A key conclusion of this
study is that abilities are independent of each other in terms of the resou
rce allocation policy within each resource pool.