Cost comparison of maintenance policies

Le Minh Duc; Tan Cher Ming

Cost comparison of maintenance policies

Le Minh Duc
, Tan Cher Ming

Nanyang Technological University

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

Abstract

Maintenance is crucial to all repairable engineering systems as they will degrade and fail. The cost of maintenance for a manufacturing plant can occupy up to 30% of the total operating cost. If maintenance is not scheduled properly, unexpected equipment failure can induce significant cost due to reduced productivity and sub-standard products produced, both of which may result in customer penalty. Various maintenance policies have been proposed in the past. Among the various policies, age-dependent and periodic maintenances are the common policies employed in industries. Recently, predictive maintenance or condition based maintenance policies are also proposed owing to the advancement in the sensor technology. In this work, we compare the age-dependent and periodic maintenance policies as well as the predictive maintenance policies from the perspective of cost using Markov multi-state maintenance modeling and Monte Carlo simulation. To be realistic, imperfect maintenance is included, and both the sequential and continuous inspections are considered and compared.

Original language	English
Title of host publication	Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011
Editors	Abhinav Saxena, Sankalita Saha, Jose R. Celaya
Publisher	Prognostics and Health Management Society
Pages	149-158
Number of pages	10
ISBN (Electronic)	9781936263035
State	Published - 2014
Externally published	Yes
Event	2011 Annual Conference of the Prognostics and Health Management Society, PHM 2011 - Montreal, Canada Duration: 25 09 2011 → 29 09 2011

Publication series

Name	Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011

Conference

Conference	2011 Annual Conference of the Prognostics and Health Management Society, PHM 2011
Country/Territory	Canada
City	Montreal
Period	25/09/11 → 29/09/11

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Cite this

Duc, L. M., & Ming, T. C. (2014). Cost comparison of maintenance policies. In A. Saxena, S. Saha, & J. R. Celaya (Eds.), Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011 (pp. 149-158). (Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011). Prognostics and Health Management Society.

Duc, Le Minh ; Ming, Tan Cher. / Cost comparison of maintenance policies. Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011. editor / Abhinav Saxena ; Sankalita Saha ; Jose R. Celaya. Prognostics and Health Management Society, 2014. pp. 149-158 (Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011).

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title = "Cost comparison of maintenance policies",

abstract = "Maintenance is crucial to all repairable engineering systems as they will degrade and fail. The cost of maintenance for a manufacturing plant can occupy up to 30\% of the total operating cost. If maintenance is not scheduled properly, unexpected equipment failure can induce significant cost due to reduced productivity and sub-standard products produced, both of which may result in customer penalty. Various maintenance policies have been proposed in the past. Among the various policies, age-dependent and periodic maintenances are the common policies employed in industries. Recently, predictive maintenance or condition based maintenance policies are also proposed owing to the advancement in the sensor technology. In this work, we compare the age-dependent and periodic maintenance policies as well as the predictive maintenance policies from the perspective of cost using Markov multi-state maintenance modeling and Monte Carlo simulation. To be realistic, imperfect maintenance is included, and both the sequential and continuous inspections are considered and compared.",

author = "Duc, \{Le Minh\} and Ming, \{Tan Cher\}",

year = "2014",

language = "英语",

series = "Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011",

publisher = "Prognostics and Health Management Society",

pages = "149--158",

editor = "Abhinav Saxena and Sankalita Saha and Celaya, \{Jose R.\}",

booktitle = "Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011",

note = "2011 Annual Conference of the Prognostics and Health Management Society, PHM 2011 ; Conference date: 25-09-2011 Through 29-09-2011",

}

Duc, LM & Ming, TC 2014, Cost comparison of maintenance policies. in A Saxena, S Saha & JR Celaya (eds), Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011. Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011, Prognostics and Health Management Society, pp. 149-158, 2011 Annual Conference of the Prognostics and Health Management Society, PHM 2011, Montreal, Canada, 25/09/11.

Cost comparison of maintenance policies. / Duc, Le Minh; Ming, Tan Cher.
Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011. ed. / Abhinav Saxena; Sankalita Saha; Jose R. Celaya. Prognostics and Health Management Society, 2014. p. 149-158 (Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011).

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

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AB - Maintenance is crucial to all repairable engineering systems as they will degrade and fail. The cost of maintenance for a manufacturing plant can occupy up to 30% of the total operating cost. If maintenance is not scheduled properly, unexpected equipment failure can induce significant cost due to reduced productivity and sub-standard products produced, both of which may result in customer penalty. Various maintenance policies have been proposed in the past. Among the various policies, age-dependent and periodic maintenances are the common policies employed in industries. Recently, predictive maintenance or condition based maintenance policies are also proposed owing to the advancement in the sensor technology. In this work, we compare the age-dependent and periodic maintenance policies as well as the predictive maintenance policies from the perspective of cost using Markov multi-state maintenance modeling and Monte Carlo simulation. To be realistic, imperfect maintenance is included, and both the sequential and continuous inspections are considered and compared.

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BT - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011

A2 - Saxena, Abhinav

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ER -

Cost comparison of maintenance policies

Abstract

Publication series

Conference

UN SDGs

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