Capacity scalability modeling and design framework for reconfigurable manufacturing systems.
Date of Award
Industrial and Manufacturing Systems Engineering
El Maraghy, W.
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The focus of this research will be on how to approach the design reconfigurable manufacturing systems and how to control the design process. This will be achieved first in a systematic manner through implementing system design methodology to develop an architecture that visualizes the full reconfiguration process from recognizing customer needs through the operational level. An example in the reconfigurable printed circuit board (PCB) automatic assembly industry is used to illustrate the design and control activities in the proposed architecture. An analytical approach will follow the systematic approach. In this research only the first layer of the architecture dealing with capacity scalability is mathematically modeled. The capacity scalability model is used to develop a computer-based tool that generates optimal capacity scalability schedule and can be integrated to the architecture. Results of using the developed tool with numerical examples revealed the need to modify cost function of the model to reflect the real case of capacity scalability in reconfigurable manufacturing systems. The modification highlighted the fact that the success of reconfigurable manufacturing systems is through responsive scalable systems in a cost effective manner. Results also showed the superiority of the generated optimal capacity scalability schedule over other capacity plans and illustrated how the developed model can deal with different demand scenarios in an optimal way. (Abstract shortened by UMI.)Dept. of Industrial and Manufacturing Systems Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .D45. Source: Masters Abstracts International, Volume: 43-01, page: 0293. Adviser: Waguih El-Maraghy. Thesis (M.A.Sc.)--University of Windsor (Canada), 2004.
Deif, Ahmed Mahmoud., "Capacity scalability modeling and design framework for reconfigurable manufacturing systems." (2004). Electronic Theses and Dissertations. 1362.