Data for better maintenance plans and investments policy

Helena Kortelainen, Kati Kupila, Seppo Silenius, Antti Päivike

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This paper describes a new Internet-based maintenance data collection application and its use for improved maintenance planning at a woodyard. It presents some data collection results and demonstrates how the availability performance measures based on the collected data are calculated. The developed data collection application met the user requirements. The device-based data structure makes further analysis, reporting, and use of the data possible. The database, from which a mill can recall maintenance and failure data, supports maintenance information exchange and helps to solve recurring problems. Detailed analysis of availability performance helps locate bottlenecks in a production line and insures accurate direction of corrective measures. The information boosts the efforts to increase production line efficiency and supports decision-making for new investments.
Original languageEnglish
JournalTappi Journal
Volume2
Issue number8
Publication statusPublished - 2003
MoE publication typeA1 Journal article-refereed

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Availability
Data structures
Decision making
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Cite this

Kortelainen, H., Kupila, K., Silenius, S., & Päivike, A. (2003). Data for better maintenance plans and investments policy. Tappi Journal, 2(8).
Kortelainen, Helena ; Kupila, Kati ; Silenius, Seppo ; Päivike, Antti. / Data for better maintenance plans and investments policy. In: Tappi Journal. 2003 ; Vol. 2, No. 8.
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title = "Data for better maintenance plans and investments policy",
abstract = "This paper describes a new Internet-based maintenance data collection application and its use for improved maintenance planning at a woodyard. It presents some data collection results and demonstrates how the availability performance measures based on the collected data are calculated. The developed data collection application met the user requirements. The device-based data structure makes further analysis, reporting, and use of the data possible. The database, from which a mill can recall maintenance and failure data, supports maintenance information exchange and helps to solve recurring problems. Detailed analysis of availability performance helps locate bottlenecks in a production line and insures accurate direction of corrective measures. The information boosts the efforts to increase production line efficiency and supports decision-making for new investments.",
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Kortelainen, H, Kupila, K, Silenius, S & Päivike, A 2003, 'Data for better maintenance plans and investments policy', Tappi Journal, vol. 2, no. 8.

Data for better maintenance plans and investments policy. / Kortelainen, Helena; Kupila, Kati; Silenius, Seppo; Päivike, Antti.

In: Tappi Journal, Vol. 2, No. 8, 2003.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Kortelainen, Helena

AU - Kupila, Kati

AU - Silenius, Seppo

AU - Päivike, Antti

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PY - 2003

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N2 - This paper describes a new Internet-based maintenance data collection application and its use for improved maintenance planning at a woodyard. It presents some data collection results and demonstrates how the availability performance measures based on the collected data are calculated. The developed data collection application met the user requirements. The device-based data structure makes further analysis, reporting, and use of the data possible. The database, from which a mill can recall maintenance and failure data, supports maintenance information exchange and helps to solve recurring problems. Detailed analysis of availability performance helps locate bottlenecks in a production line and insures accurate direction of corrective measures. The information boosts the efforts to increase production line efficiency and supports decision-making for new investments.

AB - This paper describes a new Internet-based maintenance data collection application and its use for improved maintenance planning at a woodyard. It presents some data collection results and demonstrates how the availability performance measures based on the collected data are calculated. The developed data collection application met the user requirements. The device-based data structure makes further analysis, reporting, and use of the data possible. The database, from which a mill can recall maintenance and failure data, supports maintenance information exchange and helps to solve recurring problems. Detailed analysis of availability performance helps locate bottlenecks in a production line and insures accurate direction of corrective measures. The information boosts the efforts to increase production line efficiency and supports decision-making for new investments.

M3 - Article

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JO - Tappi Journal

JF - Tappi Journal

SN - 0734-1415

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