Intelligent decision support system for equipment diagnosis and maintenance management

Author

Zhang, Jun ; Tu, Yiliu ; Yeung, Eddie H H

Author_Institution

City Polytech. of Hong Kong, Kowloon, Hong Kong

fYear

1997

fDate

27-31 Jul 1997

Firstpage

733

Abstract

Summary form only given. This paper reports the research project which has been carried out at the Central Textiles (HK) Ltd. in Hong Kong. The main objective of the project is to help the company to approach an integrated maintenance management system by using artificial intelligence (AI) technologies. This AI-based maintenance management system schedules and controls maintenance activities under considerations of not only the working conditions of equipment in the company but also the production quality, production system efficiency and production cost

Keywords

decision support systems; fault diagnosis; maintenance engineering; manufacturing data processing; production control; project engineering; textile industry; artificial intelligence; equipment diagnosis; intelligent DSS; maintenance management; managerial decision support system; production cost; production quality; production system efficiency; textile plant; Artificial intelligence; Control systems; Decision support systems; Employee welfare; Intelligent systems; Production systems; Project management; Quality management; Technology management; Textile technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovation in Technology Management - The Key to Global Leadership. PICMET '97: Portland International Conference on Management and Technology

Conference_Location

Portland, OR

Print_ISBN

0-7803-3574-0

Type

conf

DOI

10.1109/PICMET.1997.653599

Filename

653599