Knowledge-Based Improvement of Machine Downtime Management for IR4.0

Yew, K.-H. and Foong, O.-M. and Sivarajan, T.P. (2019) Knowledge-Based Improvement of Machine Downtime Management for IR4.0. In: UNSPECIFIED.

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Abstract

Unplanned machine downtime interrupts operations in manufacturing plants leading to loss. Preventive measures can reduce the downtime to as low as reasonably possible thorough planned downtime management. This paper presents a knowledge-based framework to capture and reuse maintenance record for downtime management. A prototype was developed based on actual scenario and was assessed by experienced operators, technicians and engineers. The result of the evaluation contributes to better understanding of system requirements and design for knowledge driven Computerised Maintenance Management System. © 2019 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Impact Factor: cited By 0
Uncontrolled Keywords: Control systems; Knowledge based systems, Computerised maintenance management systems; Knowledge based framework; Knowledge-based improvements; Maintenance records; Manufacturing plant; Planned downtime; Preventive measures; System requirements, Maintenance
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 19 Aug 2021 07:57
Last Modified: 19 Aug 2021 07:57
URI: http://scholars.utp.edu.my/id/eprint/23531

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