Events

New Product Development : Machine Learning Approach

Date: 07 Jan 2005 - 07 Jan 2005

Venue: Training Room 2, Tower Block, Level 3

Introduction

The management of product innovation is one of the vital areas that determine the long-term success of an industrial establishment. Of particular significance is the effective and efficient execution of the activities that precede full-scale product development efforts. Industries and designers are constantly faced with the challenge of developing innovative and cost-effective products in the shortest possible time. However, they are often handicapped by the lack of effective intelligent support systems that harness the company’s own extensive product development knowledge. This symposium seeks to explore the potential and application of data mining and knowledge discovery to the process of product development, especially at the concept development phase.

Keynote Address : (1.00pm - 2.45pm)

1) Towards an Intelligent Design Environment by Alex Duffy, The University of Strathclyde, UK
2) Agent Based Agile Product Development for Mass Customisation by Zhang ShenSheng, Shanghai Jiaotong University, China

Regular Session: (3.00pm - 5.00pm)

1) Text-mining for Knowledge in Product Development Process by Loh Han Thong, NUS
2) Internet and PLM Facilitated Collaborative Product Design and Engineering by Wong Yoke San, NUS
3) Modelling Learning in Design by Sim Siang Kok, NTU
4) Consumer Sense-Mining – At the Moment of Truth/Customer Demand Discovery in New Product Design by Francis Chu, Philips Design, Singapore/Li Xiang, SIMTech
5) Intelligent Repository for Next Generation Product Development Systems/Text Mining for Customer Preference using Bayesian Classifier by Lim Ee Peng & Shi Daming, NTU
6) Machine Learning Techniques for Cost and Lead-time Estimation of New Products by Narendra Chaudhari & Manoranjan Dash, NTU
7) IT Solution for Feasibility Study in New Product Design by Ren Junxin, SIMTech

To register, please email : eventsPostmaster@SIMTech.a-star.edu.sg with the following details : Your name, Designation and Organisation (Company Name)