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

Knowledge-Based Improvement of Machine Downtime Management for IR4.0
type: AcademicArticle
type: Article
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.
date: 2019
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

Proceedings - 9th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2019
type: Collection

T.P. Sivarajan
type: Person
given name: T.P.
family name: Sivarajan

K.-H. Yew
type: Person
given name: K.-H.
family name: Yew

O.-M. Foong
type: Person
given name: O.-M.
family name: Foong

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