Application of Pinch Analysis to Opportunistic Maintenance Management

The opportunistic maintenance (OM) approach allows exploiting the stoppage for performing additional maintenance actions alongside those planned, to save cost and time. This study aims to propose a graphical approach to identify the optimal maintenance grouping strategies in an operating process. Th...

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Main Authors: Hon Huin Chin, Petar Sabev Varbanov, Jiri Jaromir Klemes, Hon Loong Lam
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2019-10-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/10541
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spelling doaj-d2c2a0089e8a4913ab9217977c30d25d2021-02-16T20:58:35ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162019-10-017610.3303/CET1976090Application of Pinch Analysis to Opportunistic Maintenance ManagementHon Huin ChinPetar Sabev VarbanovJiri Jaromir KlemesHon Loong LamThe opportunistic maintenance (OM) approach allows exploiting the stoppage for performing additional maintenance actions alongside those planned, to save cost and time. This study aims to propose a graphical approach to identify the optimal maintenance grouping strategies in an operating process. The failure of a specific component is predicted by using the statistically-derived probability distribution function that reflects its time-variant failure behaviours. The periodic maintenance schedule is first derived, and the system failure likelihood is predicted within each time interval. The failure of one of the component creates an opportunity to reschedule maintenance activities, which can be carried out while replacing the failed components. The expected cost to mitigate the failures (‘Sinks’) can be reduced by the expected maintenance reschedule cost savings (‘Sources’) based on the derived schedule previously. In this work, Pinch Analysis is used as a targeting tool to determine the maximum cost savings and expected cost required to handle unexpected plant shutdown. The methodology is presented and demonstrated with a case study, featuring the component replacement for a hydrogen compressor in an oil refinery. The results show that about 35 % of the expected failure cost would need to be invested for opportunistic maintenance at the earlier time, minimising the risk of failure, while the remaining 65 % can be saved. The extra savings at the end of the period also suggest the maintenance grouping can be further reduced. The limitations and potential future development of the framework are discussed as well.https://www.cetjournal.it/index.php/cet/article/view/10541
collection DOAJ
language English
format Article
sources DOAJ
author Hon Huin Chin
Petar Sabev Varbanov
Jiri Jaromir Klemes
Hon Loong Lam
spellingShingle Hon Huin Chin
Petar Sabev Varbanov
Jiri Jaromir Klemes
Hon Loong Lam
Application of Pinch Analysis to Opportunistic Maintenance Management
Chemical Engineering Transactions
author_facet Hon Huin Chin
Petar Sabev Varbanov
Jiri Jaromir Klemes
Hon Loong Lam
author_sort Hon Huin Chin
title Application of Pinch Analysis to Opportunistic Maintenance Management
title_short Application of Pinch Analysis to Opportunistic Maintenance Management
title_full Application of Pinch Analysis to Opportunistic Maintenance Management
title_fullStr Application of Pinch Analysis to Opportunistic Maintenance Management
title_full_unstemmed Application of Pinch Analysis to Opportunistic Maintenance Management
title_sort application of pinch analysis to opportunistic maintenance management
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2019-10-01
description The opportunistic maintenance (OM) approach allows exploiting the stoppage for performing additional maintenance actions alongside those planned, to save cost and time. This study aims to propose a graphical approach to identify the optimal maintenance grouping strategies in an operating process. The failure of a specific component is predicted by using the statistically-derived probability distribution function that reflects its time-variant failure behaviours. The periodic maintenance schedule is first derived, and the system failure likelihood is predicted within each time interval. The failure of one of the component creates an opportunity to reschedule maintenance activities, which can be carried out while replacing the failed components. The expected cost to mitigate the failures (‘Sinks’) can be reduced by the expected maintenance reschedule cost savings (‘Sources’) based on the derived schedule previously. In this work, Pinch Analysis is used as a targeting tool to determine the maximum cost savings and expected cost required to handle unexpected plant shutdown. The methodology is presented and demonstrated with a case study, featuring the component replacement for a hydrogen compressor in an oil refinery. The results show that about 35 % of the expected failure cost would need to be invested for opportunistic maintenance at the earlier time, minimising the risk of failure, while the remaining 65 % can be saved. The extra savings at the end of the period also suggest the maintenance grouping can be further reduced. The limitations and potential future development of the framework are discussed as well.
url https://www.cetjournal.it/index.php/cet/article/view/10541
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