Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability
Crawler cranes are critical heavy equipment in the construction industry, but they often experience failures that cause downtime and increased costs. This article comprehensively analyses crawler crane failures using three main methods: Fishbone Diagram, Pareto Principle, and Failure Mode and Effect...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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INTI International University
2025
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| Online Access: | http://eprints.intimal.edu.my/2127/ http://eprints.intimal.edu.my/2127/3/668 http://eprints.intimal.edu.my/2127/4/joit2025_04b.pdf |
| _version_ | 1848766927478980608 |
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| author | Faisal, Rahman Firda, Herlina Yassyir, Maulana Ice, Trianiza Saifullah, Arief |
| author_facet | Faisal, Rahman Firda, Herlina Yassyir, Maulana Ice, Trianiza Saifullah, Arief |
| author_sort | Faisal, Rahman |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Crawler cranes are critical heavy equipment in the construction industry, but they often experience failures that cause downtime and increased costs. This article comprehensively analyses crawler crane failures using three main methods: Fishbone Diagram, Pareto Principle, and Failure Mode and Effect Analysis (FMEA). Failure data for the past two years (January 2022 – September 2024) is analyzed to identify root causes and determine repair priorities. A Fishbone Diagram is used to identify the main causes of failure, which are grouped into four categories: Mechanical, Electrical, Environmental, and Human Error. From this analysis, it is found that mechanical failure is the most dominant cause. This analysis found that mechanical failure is the most dominant cause, mechanical failures account for most failures (60%), followed by electrical failures (33%), with failures in the gearbox and engine overheating being the most significant causes. Furthermore, FMEA evaluates potential failure modes, determines their impacts, and sets mitigation priorities based on the Risk Priority Number (RPN). The results of this study provide a strategic approach to minimize downtime by focusing maintenance efforts on the root causes of failure. This article also offers a new contribution by combining three comprehensive analysis methods not systematically applied to crawler crane maintenance. This research is expected to help improve operational reliability and reduce repair costs in the construction industry. |
| first_indexed | 2025-11-14T11:58:55Z |
| format | Article |
| id | intimal-2127 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:58:55Z |
| publishDate | 2025 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-21272025-06-11T06:50:51Z http://eprints.intimal.edu.my/2127/ Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability Faisal, Rahman Firda, Herlina Yassyir, Maulana Ice, Trianiza Saifullah, Arief QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software Crawler cranes are critical heavy equipment in the construction industry, but they often experience failures that cause downtime and increased costs. This article comprehensively analyses crawler crane failures using three main methods: Fishbone Diagram, Pareto Principle, and Failure Mode and Effect Analysis (FMEA). Failure data for the past two years (January 2022 – September 2024) is analyzed to identify root causes and determine repair priorities. A Fishbone Diagram is used to identify the main causes of failure, which are grouped into four categories: Mechanical, Electrical, Environmental, and Human Error. From this analysis, it is found that mechanical failure is the most dominant cause. This analysis found that mechanical failure is the most dominant cause, mechanical failures account for most failures (60%), followed by electrical failures (33%), with failures in the gearbox and engine overheating being the most significant causes. Furthermore, FMEA evaluates potential failure modes, determines their impacts, and sets mitigation priorities based on the Risk Priority Number (RPN). The results of this study provide a strategic approach to minimize downtime by focusing maintenance efforts on the root causes of failure. This article also offers a new contribution by combining three comprehensive analysis methods not systematically applied to crawler crane maintenance. This research is expected to help improve operational reliability and reduce repair costs in the construction industry. INTI International University 2025-03 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2127/3/668 text en cc_by_4 http://eprints.intimal.edu.my/2127/4/joit2025_04b.pdf Faisal, Rahman and Firda, Herlina and Yassyir, Maulana and Ice, Trianiza and Saifullah, Arief (2025) Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability. Journal of Innovation and Technology, 2025 (04). pp. 1-11. ISSN 2805-5179 http://ipublishing.intimal.edu.my/joint.html |
| spellingShingle | QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software Faisal, Rahman Firda, Herlina Yassyir, Maulana Ice, Trianiza Saifullah, Arief Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability |
| title | Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability |
| title_full | Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability |
| title_fullStr | Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability |
| title_full_unstemmed | Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability |
| title_short | Crawler Crane Failure Cause Analysis Using Fishbone Diagram, Pareto Principle, and Failure Mode Effect Analysis: A Comprehensive Approach to Minimize Downtime and Improve Operational Reliability |
| title_sort | crawler crane failure cause analysis using fishbone diagram, pareto principle, and failure mode effect analysis: a comprehensive approach to minimize downtime and improve operational reliability |
| topic | QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.intimal.edu.my/2127/ http://eprints.intimal.edu.my/2127/ http://eprints.intimal.edu.my/2127/3/668 http://eprints.intimal.edu.my/2127/4/joit2025_04b.pdf |