ComputerAided_Design_Engineering_amp_Manufactur.pdf
ComputerAided_Design_Engineering_amp_Manufactur.pdf
ComputerAided_Design_Engineering_amp_Manufactur.pdf
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When a new technology is brought into a firm, management must decide to what extent they are going<br />
to train the workforce. Specifically, the individual workers within specific functional groups that will<br />
receive training must be identified. Although much is being done in universities and technical schools<br />
to provide future workers with specialized technological skills, 1,2,18 almost all firms find the need to<br />
re-train a group of their existing employees to operate and work with a new system. From a financial<br />
standpoint, it is appealing to set up a specialized group within the firm to be trained, while the rest of<br />
the employees remain untrained. By doing so, the firm would limit its training expenses. This might be<br />
feasible if only part of the design work will be utilizing the new CAD system, while the remaining work<br />
will be done using existing methods.<br />
Another tactic used to limit training costs restricts training only to new hires. Although these policies<br />
may sound appealing, in practice they often have led to counterproductive results. 18,22,27 Research shows<br />
that the deliberate exclusion of a portion of workers from a training program leads to perceptions of an<br />
“elite” group of workers; other untrained workers may feel they are being “put out to pasture.” Such<br />
feelings frequently lead to poor morale and an erosion in worker/manager relationships.<br />
Some firms avoid this training problem by hiring employees from other companies who are already<br />
trained. 22,27 In larger firms with established design teams, this has led to morale problems and results<br />
similar to those where workers were excluded from training. It is an interesting, but not surprising,<br />
finding to note that when companies choose to offer training only to select employees, there seems to<br />
be an age bias. Studies have found that although managers would not say that age entered into their<br />
decision process, the probability of being chosen to be a CAD user drops by 2% for each year of age. 22<br />
For ex<strong>amp</strong>le, a six-year age difference would correspond to a 12% difference in the probability of a worker<br />
being selected for training. In this study, the average age of users was 39 years, while the average age of<br />
non-users was 48 years. This apparent bias may not be unfounded: Gist, Rosen and Schwoerer studied the<br />
ability of workers to learn new computer software and concluded that younger workers (under 45 years<br />
old) performed significantly better than their older counterparts on comprehensive examinations given<br />
after the training session. 20<br />
Training must also be considered for members of management. Research suggests that training multiple<br />
layers in the firm’s hierarchy (e.g., both workers and managers) is beneficial, if not necessary, in many<br />
applications. 1,11,18 Brooks and Wells found that managers who are not familiar with the new CAD system<br />
may have trouble supervising workers because they fail to understand the implications of the changes in<br />
design work. 11 Often a skill differential arises between a trained worker and an untrained supervisor<br />
which creates conflict or a loss of status for the manager. An untrained supervisor may also experience<br />
difficulty in effectively planning and controlling the work flow since he or she has no basis from which to<br />
estimate drawing and alteration times. Evaluating the worker’s progress and assessing performance of the<br />
individual also becomes difficult for the supervisor. The combination of these problems often leads to<br />
the untrained supervisor’s “losing track” of the workers. The result can be a strained worker/supervisor<br />
relationship and a loss of productivity. The literature on Electronic Data Interchange (EDI) corroborates<br />
the above observations of CAD experiences. Carter, Monczka, Clauson and Zelinski note that management<br />
training in EDI is a major factor in increasing the probability that managers responsible for<br />
implementing EDI will succeed. 13 Thus, managerial training may well be a critical determinant to a<br />
successful CAD implementation.<br />
The firm implementing a new technology must also select the method it will use to train the workers.<br />
In addition, management must decide whether the training will be conducted in-house using its own<br />
personnel or conducted externally by a vendor or an outside consultant. These decisions are often based<br />
on the firm’s need for either a highly formalized or a more tutorial-oriented training program. Internal<br />
training programs can often be customized for the firm’s specific needs relative to CAD and facilitate a<br />
more informal and open exchange of ideas than external programs. External education, on the other<br />
hand, is frequently more formalized and has the additional advantage of being less expensive. Often it<br />
is the only option for smaller firms that may not have the money, facilities, or personnel to conduct<br />
internal training. 29,42 Externally conducted training programs have the disadvantage of being more generic<br />
and, therefore, frequently less useful in meeting the unique needs of the firm.