Orders > Conference proceedings > Product lifecycle management PLM'06
(from Chapter 1: Early Stage Issues)
| Full Citation and Abstract
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Title: |
A Framework for an Intelligent Design-support System Based on Product Lifecycle Data |
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Author(s): |
B. Song, X. Li, W.K. Ng |
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Address: |
Singapore Institute of Manufacturing Technology, 71 Nanyang Drive,
Singapore 638075
Singapore Institute of Manufacturing Technology, 71 Nanyang Drive,
Singapore 638075
School of Computer Engineering, Nanyang Technological University,
Block N4 Level B3C No. 14, Singapore
bsong @ simtech.a-star.edu.sg, xli @ simtech.a-star.edu.sg, awkng @ ntu.edu.sg |
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Reference: |
PLM-SP2, 2006 Proceedings pp. 251 - 263 |
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Abstract/
Summary |
Over-capacity of mass-produced products leads to ''cut-throat'' competition in the marketplace. Customer-driven Mass-customized Product Development (CMPD) has emerged as a crucial capability for product manufacturers to gain a competitive advantage. The core of CMPD is the ability to create or change a product design fast and right-the-first-time according to customer requirements. The criteria for ''right-the-first-time'' decisions must be optimized over the product's lifecycle processes. This paper proposes a framework for an Intelligent Design-Support System (IDSS) as an enabling technology for CMPD. The IDSS is to take advantage of integrated product lifecycle data from a PLM system and dynamically update a product knowledgebase through intelligent self-learning algorithms as product lifecycle data for a new product is created. When a set of customer requirements is given, IDSS is to derive a set of design configurations that can satisfy the requirements. An optimal design configuration is selected through optimization of design configurations with respect to the required cost and time-to-market. |
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