TY  - CONF
TI  - Knowledge-Based Improvement of Machine Downtime Management for IR4.0
SN  - 9781728135007
EP  - 98
SP  - 94
A1  - Yew, K.-H.
A1  - Foong, O.-M.
A1  - Sivarajan, T.P.
N2  - 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.
N1  - cited By 1; Conference of 9th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2019 ; Conference Date: 29 November 2019 Through 1 December 2019; Conference Code:159323
Y1  - 2019///
AV  - none
ID  - scholars11130
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084293649&doi=10.1109%2fICCSCE47578.2019.9068584&partnerID=40&md5=38cb49b30e0a30d567b1f1ba376aaaee
KW  - Control systems; Knowledge based systems
KW  -  Computerised maintenance management systems; Knowledge based framework; Knowledge-based improvements; Maintenance records; Manufacturing plant; Planned downtime; Preventive measures; System requirements
KW  -  Maintenance
PB  - Institute of Electrical and Electronics Engineers Inc.
ER  -