8th North America Conference on Industrial Engineering and Operations Management

Availability Optimization of the Crawler Crane Using Approach Reliability Engineering at Logistic Shore Base Company in Indonesia

Tiara Shinta Raharkandi & Dendi Ishak
Publisher: IEOM Society International
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Track: Reliability and Maintenance

Reliability engineering is needed for scheduling maintenance to improve system or equipment performance. The purpose of this paper is to provide recommendations for  maintenance schedules based on reliability, availability, and maintainability (RAM) analysis that optimizes the availability of Crawler Cranes operating in Logistic Shore Base companies in Indonesia. This paper begins with searching for a critical system using the Pareto principle. The critical system is then made a reliability block diagram to facilitate the analysis. However, before conducting the analysis, it is necessary to know the characteristics of the probability distribution of the data so that the analysis results are accurate and stable. Analysis of reliability, availability, and maintainability (RAM) is then carried out in the probability distribution equation for each system. RAM analysis results show that by implementing reliability maintenance at t=OD and maintainability for 120 minutes, there is an increase LS system availability by 0.42% (98.78% to 99.20%), ESE availability by 0.57% (97.30% to 97.87%) and US system by 0.95% (97.35% to 98.31%), and overall system availability by 0.32% (98.11% to 98.42%).In this study, the overall equipment performance of the Crawler Crane was not considered, and the performance evaluation was only based on the calculation of availability and usage. Future research should include the measurement of key performance indicators (KPIs) with Maintenance Performance Level (MPL).

Published in: 8th North America Conference on Industrial Engineering and Operations Management , Houston, United States of America

Publisher: IEOM Society International
Date of Conference: June 13-15, 2023

ISBN: 979-8-3507-0546-1
ISSN/E-ISSN: 2169-8767