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A methodology for integrating artificial intelligence into a quality managment teaching evnironment

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conference contribution
posted on 2017-12-06, 00:00 authored by X Chi, T Spedding
Management flight simulators provide a “microworld” in which users control an organization in a realistic environment without the need to disturb the real system. This paper presents a web-based intelligent virtual learning environment to enhance the education of engineering management students in quality management and statistical process control techniques. The paper introduces the structure and methodology for building this online learning environment. The simulated environment is based on an innovative approach which incorporates a Fuzzy Adaptive Resonance Theory Neural Network to enable students to obtain the best response by automatically identifying out of control conditions.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Editor

Kennedy J; Di Milia V

Parent Title

Proceedings of the 20th ANZAM Conference [electronic resource] : Management : pragmatism, philosophy, priorities

Start Page

1

End Page

14

Number of Pages

14

Start Date

2006-01-01

ISBN-10

1921047348

Location

Yeppoon, Qld.

Publisher

Australian and New Zealand Academy of Management

Place of Publication

Lindfield, NSW

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

International conference; School of Management and Marketing;

Era Eligible

  • No

Name of Conference

Australian and New Zealand Academy of Management. International conference

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