Analysis of industrial tasks as a tool for the inclusion of people with disabilities in the work market.
This article describes the application of a model for analyzing industrial tasks that was developed to identify jobs that could potentially be filled by people with disabilities (DP) and to serve as a guideline for a company hiring policy. In Brazil, Law No. 8213/91 makes it obligatory to hire DP based on quotas that are established according to the number of employees in a public and private company. Using a set of methods and techniques based on ergonomic work analysis and on occupational therapy, we sought to build a model to indicate the skills required to perform industrial tasks. The model was applied at 19 workstations at a Brazilian aircraft manufacturer in 2002. The task supervisor and the operator performing the task were interviewed, the work activity was filmed, a kinesiological analysis was done, the task was observed and a checklist was applied to help recognize and systematize the skills involved in performing the job task. The last step consisted of correlating the skills required to perform the task to the potential skills of the various types of disability. It was found that 100% of the jobs could be filled by workers with low-level paraplegia, 89% by workers with general paraplegia, 0% with low-level tetraplegia, 47% with auditory impairment, 42% with hemiplegia, 68% with upper limb amputees wearing adequate prostheses, and 89% handicapped wheelchair users. The company hired 14 DP based on the results of this model. The model proved adequate for analyzing industrial tasks with a view to the inclusion of DP, and it can be applied to other sectors of industrial production.
Simonelli
Angela Paula
AP
Department of Occupational Therapy, Federal University of São Carlos, Brasil. angela@dep.ufscar.br
Camarotto
João Alberto
JA
D000293:Adolescent; D000328:Adult; D000368:Aged; D001938:Brazil / Q000453:epidemiology; D002648:Child; D006233:Persons with Disabilities / Q000706:statistics & numerical data*; D004651:Employment / Q000706:statistics & numerical data*; D006804:Ergonomics; D006801:Humans; D007221:Industry / Q000706:statistics & numerical data*; D008875:Middle Aged