TY - GEN
T1 - Modeling the influence of technician proficiency and maintenance strategies on production system performance
AU - Tien, Kai Wen
AU - Prabhu, Vittaldas
N1 - Publisher Copyright:
© 2018, IFIP International Federation for Information Processing.
PY - 2018
Y1 - 2018
N2 - Maintenance tasks will be the latest automated part of a manufacturing system. Thus, the technician proficiency impacts manufacturing performance. We studied the influence of maintenance proficiency on both machine availability and manufacturing cycle times under three different maintenance strategies: run-to-failure (RTF), preventive maintenance (PM), and condition-based maintenance (CBM). To discuss scenarios in the same framework, we modeled a health-index based phase-type model and a probability model for imperfect maintenance being subject to technician proficiency. Finally, we simulated a single machine queueing model with different technician proficiency and maintenance strategies. The simulation results revealed that CBM could resist lower proficiency and keep higher availability and low manufacturing cycle times than RTF and PM.
AB - Maintenance tasks will be the latest automated part of a manufacturing system. Thus, the technician proficiency impacts manufacturing performance. We studied the influence of maintenance proficiency on both machine availability and manufacturing cycle times under three different maintenance strategies: run-to-failure (RTF), preventive maintenance (PM), and condition-based maintenance (CBM). To discuss scenarios in the same framework, we modeled a health-index based phase-type model and a probability model for imperfect maintenance being subject to technician proficiency. Finally, we simulated a single machine queueing model with different technician proficiency and maintenance strategies. The simulation results revealed that CBM could resist lower proficiency and keep higher availability and low manufacturing cycle times than RTF and PM.
UR - http://www.scopus.com/inward/record.url?scp=85053259895&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-99707-0_7
DO - 10.1007/978-3-319-99707-0_7
M3 - Conference contribution
AN - SCOPUS:85053259895
SN - 9783319997063
T3 - IFIP Advances in Information and Communication Technology
SP - 47
EP - 54
BT - Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
A2 - Lee, Gyu M.
A2 - von Cieminski, Gregor
A2 - Kiritsis, Dimitris
A2 - Moon, Ilkyeong
A2 - Park, Jinwoo
PB - Springer New York LLC
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
Y2 - 26 August 2018 through 30 August 2018
ER -