Date of Award


Publication Type

Master Thesis

Degree Name



Industrial and Manufacturing Systems Engineering

First Advisor

El Maraghy, W.


Engineering, Industrial.




The goal of this research was aimed at understanding the effects of human worker attributes within the manufacturing system environment; hence, a model is needed to provide insights into the sensitivities of a manufacturing system. To this end, a framework has been developed which is valid for different perspectives and environments. A matrix methodology has been created that assesses the three levels of manufacturing complexity: product complexity to process complexity and operational complexity. The systematic approach has lead to the development of an objective measure of complexity, which can be used to "mathematically" show tradeoffs at each level. A model that ties in the elements of "operational complexity" to a participatory manufacturing model has been achieved through utilizing the learning curve phenomenon. The model directly takes into consideration memory and problem solving abilities. As well, the model also contains a weighting factor based on the available skill sets of the employees, task factors such as time duration and direct and indirect tasks, attitude and behaviour and finally, the corporate culture and environment. The unique approach to analysing skills, tasks, attitude and culture presents relevant metrics that are based on readily available data, in particular, the corporate culture influences. (Abstract shortened by UMI.)Dept. of Industrial and Manufacturing Systems Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2002 .U73. Source: Masters Abstracts International, Volume: 42-01, page: 0310. Adviser: Waguih Elmaraghy. Thesis (M.A.Sc.)--University of Windsor (Canada), 2003.