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All Journal International Journal of Marine Engineering Innovation and Research
Rachmat, Aulia Nadia
Politeknik Perkapalan Negeri Surabaya
Automotive Engineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Optimizing Small Excavator Maintenance Activity Planning Using the Reliability-Centered Maintenance (RCM) Method II Kusminah, Imah Luluk; Rachmat, Aulia Nadia; Nurjanah, Diah Ayu
International Journal of Marine Engineering Innovation and Research Vol 9, No 1 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i1.19844

Abstract

Construction activities include the stages of construction, operation, maintenance, demolition, and rebuilding of a building. One of the construction activities in Indonesia is the construction of double-track railways. In the double-track railway construction project, there is a small excavator A which often fails. The excavator is used for excavation, land stripping, and embankment work. Failures that occur can disrupt construction implementation and can result in the company experiencing losses. Maintenance activities in the construction company that is the research location have a maintenance schedule, namely every 3 months and every 6 months based on the manual book, without adjusting the condition of the equipment. Therefore, it is necessary to analyze excavator components so that appropriate maintenance is known. RCM II is a maintenance evaluation method so that system components run well and according to the expected function by determining a maintenance action that must be carried out based on the characteristics of machine use so that maintenance activities run optimally. This research uses the RCM II method to determine the maintenance schedule, as well as the FMEA method. The FMEA results show 43 failure modes. RCM II decision worksheet analysis showed that 8 components had scheduled discard task maintenance, 3 components had scheduled restoration task maintenance, and 1 component had scheduled on-condition task maintenance.
Failure Tree Analysis of CNC Plasma Cutting Machine for Occupational Safety on Shipyard Santoso, Mochamad Yusuf; Rachmat, Aulia Nadia; Fauzia, Amalia Rahma
International Journal of Marine Engineering Innovation and Research Vol 9, No 2 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i2.20261

Abstract

The advancement of ship production technology in Indonesia involves the implementation of modern techniques integrating computer-based design and production facilities, such as Computer-Aided Manufacturing (CAM) for operating production machines utilizing Computer Numerical Control (CNC). One specific type of CNC machine utilized in ship production is the plasma cutting CNC machine. Despite being crucial to production, these machines frequently encounter failures that impede the production process. Through prior failure analyses conducted by the company, it has been identified that the dust collector air hose component exhibits the highest failure rate with six distinct failure modes. This article conducts qualitative and quantitative analyses of the causes of failure in the air hose dust collector of CNC plasma cutting machines using the Fault Tree Analysis (FTA) method. FTA is employed as a method to ascertain the fundamental causes of the event. The analysis results are utilized to provide recommendations for controlling objectives related to occupational safety. Six failure trees are generated, comprising a total of 28 basic causes. The most frequently occurring types of basic causes are associated with workers, methods, and materials. The probability of occurrence for the minimal cut set of each failure tree has been successfully computed. These calculations reveal that all top events possess probability values exceeding 76%. Specifically, the event of the dust collector air gap breaking has the highest probability value, reaching 99.88%, which is a composite of 15 basic causes. Control recommendations are provided in the form of substitution, engineering solutions, and administrative controls.
Co-Authors Fauzia, Amalia Rahma Kusminah, Imah Luluk Nurjanah, Diah Ayu Santoso, Mochamad Yusuf