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All Journal Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Muhammad Finza Detri Pratama
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering

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Maintenance and Repair Planning For Wood Profiling Machine With 90 Meters/Hour Capacity Using The IRRO Method Muhammad Raihan Abdillah; Syamsul Hadi; Rio Asyahdiky Al Faiz; Dhea Septa Ristiana; Khoirul Anam; Muhammad Finza Detri Pratama
Venus: Jurnal Publikasi Rumpun Ilmu Teknik  Vol. 3 No. 6 (2025): Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v3i6.1232

Abstract

The problems encountered are damage to the rubber wheel mount and universal/cross joints on the 90 m/hour capacity wood profile making machine, which can affect the uniformity and speed of wood profile making. Maintenance and repair planning aims to be able to create a maintenance and repair schedule for the 90 m/hour capacity wood profile making machine for the period 2026, estimate maintenance costs and the ratio of maintenance and repair costs to machine profits. The maintenance planning method includes collecting maintenance data from previous maintenance periods, reviewing the specifications of the wood profile making machine, estimating the age and price of components that are estimated to be damaged, estimating the cost and duration of dismantling and installing components that have been repaired in accordance with the provisions of the requirements for usable components or replacement spare parts, scheduling maintenance and repairs, estimating maintenance and repair costs for the period 2026, and determining the ratio of maintenance costs to profits. The planning results in the form of a maintenance-repair schedule for the period 2026; maintenance and repair costs in 2026, the ratio of maintenance costs to profits, and their implications indicate that the machine is still prospective and usable.
Co-Authors Dhea Septa Ristiana Khoirul Anam Muhammad Raihan Abdillah Rio Asyahdiky Al Faiz Syamsul Ph.D M.A. Hadi