Maintenance program selection in cigarette manufacturing industry with multi-criteria decision-making method

Rahmat Nurcahyo, A. Kurniarso, Farizal

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

1 Citation (Scopus)

Abstract

These paper discusses the process of selecting a maintenance program with case studies in the cigarette manufacturing industry. The method used in this research is multi-criteria decision making, such as Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The purpose of this study is to obtain a maintenance program that is appropriate to the manufacturing conditions in the tobacco industry, but will also make it easier for maintenance managers, especially in the tobacco industry to make choices if faced with some maintenance strategies option. The result of this research ends on Condition - Based Maintenance (CBM) / Predictive Maintenance got the highest rating to be implemented in cigarette manufacturing industry.

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
CountryBahrain
CitySalmabad
Period29/11/171/12/17

Keywords

  • AHP
  • Maintenance Program Selection
  • TOPSIS

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