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

Rahmat Nurcahyo; A. Kurniarso

doi:10.1109/ICETAS.2017.8277891

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

Rahmat Nurcahyo
, A. Kurniarso
, Farizal

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538621066
DOIs	https://doi.org/10.1109/ICETAS.2017.8277891
Publication status	Published - 2 Jul 2017
Event	4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017 - Salmabad, Bahrain Duration: 29 Nov 2017 → 1 Dec 2017

Publication series

Name	4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Volume	2018-January

Conference

Conference	4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Country/Territory	Bahrain
City	Salmabad
Period	29/11/17 → 1/12/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

AHP
Maintenance Program Selection
TOPSIS

Access to Document

10.1109/ICETAS.2017.8277891

Cite this

Nurcahyo, R., Kurniarso, A., & Farizal (2017). Maintenance program selection in cigarette manufacturing industry with multi-criteria decision-making method. In 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017 (pp. 1-5). (4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICETAS.2017.8277891

Nurcahyo, Rahmat ; Kurniarso, A. ; Farizal. / Maintenance program selection in cigarette manufacturing industry with multi-criteria decision-making method. 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-5 (4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017).

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title = "Maintenance program selection in cigarette manufacturing industry with multi-criteria decision-making method",

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.",

keywords = "AHP, Maintenance Program Selection, TOPSIS",

author = "Rahmat Nurcahyo and A. Kurniarso and Farizal",

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Nurcahyo, R, Kurniarso, A & Farizal 2017, Maintenance program selection in cigarette manufacturing industry with multi-criteria decision-making method. in 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017. 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017, Salmabad, Bahrain, 29/11/17. https://doi.org/10.1109/ICETAS.2017.8277891

Maintenance program selection in cigarette manufacturing industry with multi-criteria decision-making method. / Nurcahyo, Rahmat; Kurniarso, A.; Farizal.
4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 (4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Maintenance program selection in cigarette manufacturing industry with multi-criteria decision-making method

AU - Nurcahyo, Rahmat

AU - Kurniarso, A.

AU - Farizal, null

PY - 2017/7/2

Y1 - 2017/7/2

N2 - 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.

AB - 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.

KW - AHP

KW - Maintenance Program Selection

KW - TOPSIS

UR - https://www.scopus.com/pages/publications/85050879608

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DO - 10.1109/ICETAS.2017.8277891

M3 - Conference contribution

AN - SCOPUS:85050879608

T3 - 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017

SP - 1

EP - 5

BT - 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017

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ER -

Nurcahyo R, Kurniarso A, Farizal. Maintenance program selection in cigarette manufacturing industry with multi-criteria decision-making method. In 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-5. (4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017). doi: 10.1109/ICETAS.2017.8277891

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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