Quay crane performance improvement and lifecycle extension: retrofit determination – a case study

Quay cranes (QCs) are critical equipment in Container Terminals and their performance determines the port operation efficiency in meeting operational Key Performance Indicators (KPIs). Considering 30-year lifespan of QCs and deteriorating reliability of the electrical control system, planning for ti...

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Main Authors: Sundaraja Perumal A Gothandapani, Mohd Nizam Ab Rahman, Hawa Hishamuddin
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2024
Online Access:http://journalarticle.ukm.my/25540/
http://journalarticle.ukm.my/25540/2/kejut_14.pdf
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author Sundaraja Perumal A Gothandapani,
Mohd Nizam Ab Rahman,
Hawa Hishamuddin,
author_facet Sundaraja Perumal A Gothandapani,
Mohd Nizam Ab Rahman,
Hawa Hishamuddin,
author_sort Sundaraja Perumal A Gothandapani,
building UKM Institutional Repository
collection Online Access
description Quay cranes (QCs) are critical equipment in Container Terminals and their performance determines the port operation efficiency in meeting operational Key Performance Indicators (KPIs). Considering 30-year lifespan of QCs and deteriorating reliability of the electrical control system, planning for timely retrofit of the QCs is critical. The paper aims to present a case study on how the performance of a batch of QCs, having more than 50% remaining lifespan, were analyzed and concluded to be retrofitted to address their deteriorating performance, high maintenance cost and obsolescence. The study methodology is based on quantitative data and employed a prospective longitudinal panel research design over sixteen years. eleven years of pre-retrofit and five years of post-retrofit operations, maintenance and financial data were collected. Convenient sampling technique was selected in this study as the QCs identified as samples were having reliability issues. The Correlation Analysis indicates strong positive correlation of more than 90% between Mean Time Between Failure, Mean Move Between Failure and Reliability KPIs. These KPIs have moderate positive correlations of about 50% with Availability KPI. These 4 KPIs have strong negative correlation of between -50% and -85% with Mean Time to Repair, Maintenance and Breakdown Repair Cost indicating performance degradation but increased maintenance and repair costs as shown by Trend Analysis. The 11-year pre-retrofit data has identified parameters to determine the QC retrofit prediction. The KPIs, obsolescence status, maintenance and breakdown repair cost can be used as the inputs to the future QC Retrofit Prediction Model development.
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spelling oai:generic.eprints.org:255402025-07-14T08:02:43Z http://journalarticle.ukm.my/25540/ Quay crane performance improvement and lifecycle extension: retrofit determination – a case study Sundaraja Perumal A Gothandapani, Mohd Nizam Ab Rahman, Hawa Hishamuddin, Quay cranes (QCs) are critical equipment in Container Terminals and their performance determines the port operation efficiency in meeting operational Key Performance Indicators (KPIs). Considering 30-year lifespan of QCs and deteriorating reliability of the electrical control system, planning for timely retrofit of the QCs is critical. The paper aims to present a case study on how the performance of a batch of QCs, having more than 50% remaining lifespan, were analyzed and concluded to be retrofitted to address their deteriorating performance, high maintenance cost and obsolescence. The study methodology is based on quantitative data and employed a prospective longitudinal panel research design over sixteen years. eleven years of pre-retrofit and five years of post-retrofit operations, maintenance and financial data were collected. Convenient sampling technique was selected in this study as the QCs identified as samples were having reliability issues. The Correlation Analysis indicates strong positive correlation of more than 90% between Mean Time Between Failure, Mean Move Between Failure and Reliability KPIs. These KPIs have moderate positive correlations of about 50% with Availability KPI. These 4 KPIs have strong negative correlation of between -50% and -85% with Mean Time to Repair, Maintenance and Breakdown Repair Cost indicating performance degradation but increased maintenance and repair costs as shown by Trend Analysis. The 11-year pre-retrofit data has identified parameters to determine the QC retrofit prediction. The KPIs, obsolescence status, maintenance and breakdown repair cost can be used as the inputs to the future QC Retrofit Prediction Model development. Penerbit Universiti Kebangsaan Malaysia 2024-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/25540/2/kejut_14.pdf Sundaraja Perumal A Gothandapani, and Mohd Nizam Ab Rahman, and Hawa Hishamuddin, (2024) Quay crane performance improvement and lifecycle extension: retrofit determination – a case study. Jurnal Kejuruteraan, 36 (4). pp. 1483-1493. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3604-2024/
spellingShingle Sundaraja Perumal A Gothandapani,
Mohd Nizam Ab Rahman,
Hawa Hishamuddin,
Quay crane performance improvement and lifecycle extension: retrofit determination – a case study
title Quay crane performance improvement and lifecycle extension: retrofit determination – a case study
title_full Quay crane performance improvement and lifecycle extension: retrofit determination – a case study
title_fullStr Quay crane performance improvement and lifecycle extension: retrofit determination – a case study
title_full_unstemmed Quay crane performance improvement and lifecycle extension: retrofit determination – a case study
title_short Quay crane performance improvement and lifecycle extension: retrofit determination – a case study
title_sort quay crane performance improvement and lifecycle extension: retrofit determination – a case study
url http://journalarticle.ukm.my/25540/
http://journalarticle.ukm.my/25540/
http://journalarticle.ukm.my/25540/2/kejut_14.pdf