Paper Info
Title
An Intelligent Forward Quality Enhancement System To Achieve Product Customization
Abstract
Purpose - This paper proposes an infrastructural framework, involving various emerging technologies, for the development of an agent-based quality enhancement system with the distinct feature of the ability to cope with the potential quality problems from various customers' requirements.Design/methodology/approach - The proposed system is equipped with the "distributed problem solving" feature which automatically identifies and divides the potential quality problems into sub-problems and directs straight to the associated agents that are capable of interacting and negotiating with each other to support customer needs. The new feature of this agile quality enhancement system is characterized with the incorporation of the quality mining engine through the capabilities of the online analytical processing, case-based reasoning, fuzzy logic and artificial neural networks, achieving the optimization of the performance of organizations.Findings - In this paper, the detailed architecture and the components included in the proposed system are described with a case study to validate its feasibility of application in actual environment.Originality/value - The proposed system is to enhance customer satisfaction by automating problem solving procedures in all business processes.
Year
DOI
Venue
2005
10.1108/02635570510590174
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
Keywords
Field
DocType
quality assurance, custornization, quality improvement, information systems
Information system,Fuzzy logic,Agile software development,Engineering,Artificial neural network,Online analytical processing,Quality management,Marketing,Quality assurance,Personalization
Journal
Volume
Issue
ISSN
105
3-4
0263-5577
Citations 
PageRank 
References 
9
0.75
6
Authors
4
Name
Order
Citations
PageRank
G. T. S. Ho148342.55
Henry C. W. Lau230133.27
C. K. M. Lee324328.86
Andrew W. H. Ip4645.58