Authors:
Haifeng Liu
1
;
Wee-Keong Ng
1
;
Bin Song
2
;
Xiang Li
2
and
Wen-Feng Lu
3
Affiliations:
1
School of Computer Engineering, Nanyang Technological University, Singapore
;
2
Singapore Institute of Manufacturing Technology, Singapore
;
3
National University of Singapore, Singapore
Keyword(s):
Intelligent Information System, Product Life Cycle Management, Knowledge Management in Design, Mass Customization.
Related
Ontology
Subjects/Areas/Topics:
Applications of Expert Systems
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Industrial Applications of Artificial Intelligence
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Signal Processing
;
Society, e-Business and e-Government
;
Soft Computing
;
Strategic Decision Support Systems
;
Verification and Validation of Knowledge-Based Systems
;
Web Information Systems and Technologies
Abstract:
We propose to develop an intelligent design decision-support system to enable mass customization through product configuration using intelligent computational approaches. The system supports customer-driven product development throughout the product’s life cycle and enables rapid assessment and changes of product design in response to changes in customer requirements. The overall system consists of four subsystems: customer requirement analysis subsystem, product configuration subsystem, product lifecycle cost estimation subsystem and product data management subsystem. Various challenging issues for developing the system are investigated, and a number of methodologies and techniques to resolve the issues are presented. The proposed system will allow SMEs to effectively compete with larger companies who command superior resources.