Date of Award
Industrial and Manufacturing Systems Engineering
CC BY-NC-ND 4.0
With the introduction of increasingly expanded world markets in the 1990's, manufacturers are now obliged to compete with the best the world has to offer. Human infrastructures working with robust, capable and in-control processes depend on comprehensive appraisal of the Ergonomic implications for new technologies introduced in manufacturing operating systems. These core values and beliefs are now becoming part of a tightly linked decision-making process which is now being increasingly utilized by most successful manufacturers of world class products. World class manufacturers will welcome and integrate new technologies with the human infrastructure and do whatever it takes for worker protection. The safety and ergonomic implications for new technologies holds opportunities to create a productive human oriented workplace that produces defect free products through the elimination of unsafe work practices. This justified research provided an integrated engineering decision-making tool for the automotive industry which included various task design techniques including epidemiological, psychophysical, biomechanical and physiological methodological prediction models were also developed and validated. Automotive sector task design guidelines were also developed. It is recommended that future research focus on integrating digitized human models as a new CATIA CAD resource. The inclusion of a digitized human model would complete the CATIA resource library and would lead the automotive industry to best in class designs.Dept. of Industrial and Manufacturing Systems Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1997 .O74. Source: Dissertation Abstracts International, Volume: 59-08, Section: B, page: 4374. Adviser: Salem Taboun. Thesis (Ph.D.)--University of Windsor (Canada), 1997.
Oriet, Leo Paul., "Prediction models for the integration of new technology into the automotive manufacturing infrastructure." (1997). Electronic Theses and Dissertations. 3161.