Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/55110
Title: A platform design methodology for customized family of products
Authors: Ang, Jonathan Wei Juin
Keywords: DRNTU::Engineering::Industrial engineering::Engineering management
DRNTU::Engineering::Industrial engineering::Human factors engineering
Issue Date: 2013
Abstract: In today’s market, products must meet or exceed customers’ needs while still being competitively priced and developed in the shortest time possible. Product family design and platform-based product development seeks to be the solution to that problem. Product family design and platform-based product development has received much attention over the last decade. Product family design and platform-based product development have been well recognized as an effective means to achieve mass customization. Investing into product families which build on platforms and shared modules, installs flexibility for a company to accommodate future customization requirements. In product family design, determining an effective design strategy or commonality for a platform can be considered as a multidisciplinary optimization problem with respect to design variables, production cost, company’s revenue, and customers’ satisfaction. In this paper, we investigate strategic module-based platform design to identify an optimal platform strategy in a product family. To demonstrate the effectiveness of the proposed approach, we use a case study involving a family of sailing yachts. The limitations of the approach and future work are also discussed.
URI: http://hdl.handle.net/10356/55110
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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A PLATFORM DESIGN METHODOLOGY FOR CUSTOMIZED FAMILY OF PRODUCTS (UPDATED).pdf
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Main report1.85 MBAdobe PDFView/Open
Bakewell White Pocket Maxi 67 STIX.pdf
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Case study data96.7 kBAdobe PDFView/Open
ELAN Impression 450 STIX.pdf
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Case study data96.5 kBAdobe PDFView/Open

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