Date of Award

Fall 2005

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Mechanical & Aerospace Engineering

Program/Concentration

Mechanical Engineering

Committee Director

Han P. Bao

Committee Member

Abdelmageed Elmustafa

Committee Member

Ji Hyron (Nina) Mun

Call Number for Print

Special Collections; LD4331.E56 N34 2005

Abstract

During the early phases of design, the development cost of complex products or systems is very difficult to obtain because of the uncertainties related to their work breakdown structures and the wide choice of manufacturing technologies with no historical data specific to these products. This thesis presents a method to derive a complexity index to capture the non-additive property and inherent uncertainty, i.e. fuzziness, of the technologies that could be used for complex objects. This complexity index can then be used as a cost index for comparing various candidate manufacturing processes.

Macros are written in Microsoft Excel to establish a program for calculating the complexity index of a product based on this principle. Lastly, it also offers a validation case that indicates significant interactions among the various attributes of the complex objects.

Rights

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DOI

10.25777/jk3d-9645

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