Development of maintenance program with Markov-Simulation method in aviation industry

Rahmat Nurcahyo, A. E. Arisaputra, Farizal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Business class seat is a representative of brand imaging an airlines operator that give premium services for each customer. Meanwhile, availability level and operational functions must be keep in a good way to assure all business class seats are good condition. Business class seat consists of many electrical and mechanical component, if there has a failure so the business class seat will be unavailable to use. Therefore to assure seat availability, maintenance program is needed. This paper introduces a combination of historical data and manufacturer or vendor recommendation in order to obtain an optimum maintenance program that suitable for the business-class seat. The method use Markov simulation based on unscheduled removal parts to gain the predictive time removal, and manufacturer or vendor recommendation as preventive maintenance for business class seat.

Original languageEnglish
Title of host publication4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538621066
DOIs
Publication statusPublished - 31 Jan 2018
Event4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017 - Salmabad, Bahrain
Duration: 29 Nov 20171 Dec 2017

Publication series

Name4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Volume2018-January

Conference

Conference4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Country/TerritoryBahrain
CitySalmabad
Period29/11/171/12/17

Keywords

  • Markov simulation
  • business class seat
  • maintenance program

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