Comparing Artificial Neural Network and Failure Distribution Methods for Maintenance Scheduling: A Case Study of Wooden Door Industry

Vika Fariza, Zulkarnain Zulkarnain, Isti Surjandari Prajitno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018
EditorsYun Cheng, Shaozi Li, Ying Dai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages161-165
Number of pages5
ISBN (Electronic)9781538655009
DOIs
Publication statusPublished - 14 Jan 2019
Event5th International Conference on Information Science and Control Engineering, ICISCE 2018 - Zhengzhou, Henan, China
Duration: 20 Jul 201822 Jul 2018

Publication series

NameProceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018

Conference

Conference5th International Conference on Information Science and Control Engineering, ICISCE 2018
CountryChina
CityZhengzhou, Henan
Period20/07/1822/07/18

Keywords

  • Artificial Neural Network
  • Failure Distributions
  • Maintenance
  • Maintenance Scheduling
  • Reliability Analysis
  • Wooden Door Production Equipment

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  • Cite this

    Fariza, V., Zulkarnain, Z., & Prajitno, I. S. (2019). Comparing Artificial Neural Network and Failure Distribution Methods for Maintenance Scheduling: A Case Study of Wooden Door Industry. In Y. Cheng, S. Li, & Y. Dai (Eds.), Proceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018 (pp. 161-165). [8612541] (Proceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICISCE.2018.00043