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

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 dow...

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Main Authors: Yew, K.-H., Foong, O.-M., Sivarajan, T.P.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.23531 /
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084293649&doi=10.1109%2fICCSCE47578.2019.9068584&partnerID=40&md5=38cb49b30e0a30d567b1f1ba376aaaee
http://eprints.utp.edu.my/23531/
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id utp-eprints.23531
recordtype eprints
spelling utp-eprints.235312021-08-19T07:57:34Z Knowledge-Based Improvement of Machine Downtime Management for IR4.0 Yew, K.-H. Foong, O.-M. Sivarajan, T.P. 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. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084293649&doi=10.1109%2fICCSCE47578.2019.9068584&partnerID=40&md5=38cb49b30e0a30d567b1f1ba376aaaee Yew, K.-H. and Foong, O.-M. and Sivarajan, T.P. (2019) Knowledge-Based Improvement of Machine Downtime Management for IR4.0. In: UNSPECIFIED. http://eprints.utp.edu.my/23531/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description 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.
format Conference or Workshop Item
author Yew, K.-H.
Foong, O.-M.
Sivarajan, T.P.
spellingShingle Yew, K.-H.
Foong, O.-M.
Sivarajan, T.P.
Knowledge-Based Improvement of Machine Downtime Management for IR4.0
author_sort Yew, K.-H.
title Knowledge-Based Improvement of Machine Downtime Management for IR4.0
title_short Knowledge-Based Improvement of Machine Downtime Management for IR4.0
title_full Knowledge-Based Improvement of Machine Downtime Management for IR4.0
title_fullStr Knowledge-Based Improvement of Machine Downtime Management for IR4.0
title_full_unstemmed Knowledge-Based Improvement of Machine Downtime Management for IR4.0
title_sort knowledge-based improvement of machine downtime management for ir4.0
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084293649&doi=10.1109%2fICCSCE47578.2019.9068584&partnerID=40&md5=38cb49b30e0a30d567b1f1ba376aaaee
http://eprints.utp.edu.my/23531/
_version_ 1741196690594988032
score 11.62408

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