Today, mass customization has emerged as a manufacturing paradigm for a number of enterprises to efficiently and effectively satisfy customers requirements for product variety. The competitive nature of todays market makes it necessary for designers to have a methodology for designing customized products in such a dynamic environment.
The Product Platform Constructal Theory Method (PPCTM), developed by Dr. Gabriel Hernandez, provides designers a methodical approach for synthesizing multiple modes of managing variety in the development of product platforms for customized products. The use of the PPCTM results in a hierarchical organization of the modes of managing customization, as well as the specification of their range of application across the product platform. The focus in this thesis is to augment the PPCTM in order to develop an effective product platform design method that alleviates three of its major limitations: inability to deal with uncertain distributions of demand, changing design parameters and changing extents of marketplaces. The infusion of concepts of robustness helps to address the first two limitations making the product platforms unaffected by large variations in demand and design parameters. The compromise Decision Support Problem is proposed to address the third limitation of changing extents of marketplaces by making tradeoffs between objectives of the initial market extent and future probable extensions.
The result of this work is an augmented PPCTM that facilitates the synthesis of multiple modes for managing product variety in the presence of a dynamic environment. The augmented method is used to design a line of customizable pressure vessels and hand exercisers.
Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/6953 |
Date | 18 April 2005 |
Creators | Kulkarni, Rakesh Suresh |
Publisher | Georgia Institute of Technology |
Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
Language | en_US |
Detected Language | English |
Type | Thesis |
Format | 2732691 bytes, application/pdf |
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