Authors:
Yih Tng Chong
and
Chun-Hsien Chen
Affiliation:
Nanyang Technological University, Singapore
Keyword(s):
Dynamic customer requirement, Product design, Artificial immune system, Artificial neural network, Design space framework.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Strategic Decision Support Systems
;
Web Information Systems and Technologies
Abstract:
The twenty-first century is marked by fast evolution of customer tastes and needs. Research has shown that customer requirements could vary in the temporal space between product conceptualisation and market introduction. In markets characterized by fast changing consumer needs, products generated might often not fit the consumer needs as the companies have originally expected. This paper advocates the proactive management and analysis of the dynamic customer requirements in bid to lower the risk inherent in developing products for fast shifting markets. A customer requirements analysis and forecast (CRAF) system that can address the issue is introduced in this paper. Computational intelligence methodologies, viz. artificial immune system and artificial neural network, are found to be potential techniques in handling and analysing dynamic customer requirements. The investigation aims to support product development functions in the pursuit of generating products for near future markets.