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An Expert Advisory System for the ISO 9001 Quality System
Expert Systems with Applications
  • Hsien-Tsung Liao
  • Henry Allen Wiebe, Missouri University of Science and Technology
  • David Lee Enke, Missouri University of Science and Technology
Abstract

The ISO 9000 quality management system has been widely accepted and adapted as a national standard by most industrial countries. Despite its high popularity and the urgent demand from customers to implement ISO 9000, some major concerns for those organizations that are seeking registration to ISO 9000 include the expensive cost and the lengthy time to implement. The purpose of this paper is to describe an expert advisory system for ISO 9001 implementation by using an expert system shell called Visual Rules Studio. This expert advisory system integrated the ISO 9001 quality system guidelines and an evaluation approach based on the Malcolm Baldrige National Quality Award (MBNQA) criteria into a knowledge-based expert system. by identifying the critical ISO elements and comparing the company's current quality performance with ISO standards, this advisory system provides assessment results and implementation suggestions to the organization. The advisory system has been validated by a group of quality professionals. The following contains a description of the system and a discussion of the validation results. Limitations of the system and recommendations for future research are also discussed.

Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
  • ISO 9000,
  • MBNQA,
  • Malcolm Baldrige National Quality Award,
  • Advisory System,
  • Baldrige Criteria,
  • Quality System,
  • Visual Rules Studio,
  • ISO 9001 Standard
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2004 Elsevier, All rights reserved.
Publication Date
8-1-2004
Publication Date
01 Aug 2004
Citation Information
Hsien-Tsung Liao, Henry Allen Wiebe and David Lee Enke. "An Expert Advisory System for the ISO 9001 Quality System" Expert Systems with Applications (2004) ISSN: 0957-4174
Available at: http://works.bepress.com/david-enke/18/