TY - GEN
T1 - Comparing Artificial Neural Network and Failure Distribution Methods for Maintenance Scheduling
T2 - 5th International Conference on Information Science and Control Engineering, ICISCE 2018
AU - Fariza, Vika
AU - Zulkarnain, Zulkarnain
AU - Surjandari, Isti
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Maintenance plays a significant role to keep the machine in a good condition. Poor scheduling of machine maintenance can have unforeseen impacts and this will make the production process stopped. If this continues, losses due to stoppage of the machine can be a great concern to the company. This research focused on comparing Artificial Neural Network (ANN) and other failure rate distributions to determine the appropriate maintenance interval. The more reliable a machine the less likely it is to break down. The concept of reliability analysis uses statistical methods in calculating the probability of failure rate of a component over time. The data used are Time Between Failure (TBF) and Time To Repair (TTR) data from the machine's historical data of 2015-2017. The result shows that ANN gives the least error than other distribution models.
AB - Maintenance plays a significant role to keep the machine in a good condition. Poor scheduling of machine maintenance can have unforeseen impacts and this will make the production process stopped. If this continues, losses due to stoppage of the machine can be a great concern to the company. This research focused on comparing Artificial Neural Network (ANN) and other failure rate distributions to determine the appropriate maintenance interval. The more reliable a machine the less likely it is to break down. The concept of reliability analysis uses statistical methods in calculating the probability of failure rate of a component over time. The data used are Time Between Failure (TBF) and Time To Repair (TTR) data from the machine's historical data of 2015-2017. The result shows that ANN gives the least error than other distribution models.
KW - Artificial Neural Network
KW - Failure Distributions
KW - Maintenance
KW - Maintenance Scheduling
KW - Reliability Analysis
KW - Wooden Door Production Equipment
UR - http://www.scopus.com/inward/record.url?scp=85062059591&partnerID=8YFLogxK
U2 - 10.1109/ICISCE.2018.00043
DO - 10.1109/ICISCE.2018.00043
M3 - Conference contribution
AN - SCOPUS:85062059591
T3 - Proceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018
SP - 161
EP - 165
BT - Proceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018
A2 - Li, Shaozi
A2 - Dai, Ying
A2 - Cheng, Yun
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 July 2018 through 22 July 2018
ER -