An Hierarchical Latent Variable Model Of Reliability Centered Maintenance Using PLS-SEM And Its Impact On Productivity Of Gas Processing Companies

Abstract

The role of maintenance management is vital, especially in companies with sustainable production; machines are forced to operate 24 hours a day without any breaks, which results in a greater risk of damage occurring. The exhibition is supported by various devices consisting of several process systems, including the refrigerant, hot oil, water plant, and WTP (water treatment plant). This study aims to determine what factors exist in the implementation of reliability centered maintenance that can reduce equipment downtime and increase productivity, as well as determine the design and development of a maintenance system model improvement based on a reliability centered maintenance system to obtain a good level of productivity in the gas processing industry. . The population in this study were employees of the operational and maintenance division of the Tambun LPG plant as many as 60 employees, with the number of samples using saturated samples where all populations were used as samples. The data analysis method in this study uses the Structural Equation Model-Partial Least Square (SEM-PLS) with hierarchical components with a reflective-reflective measurement model consisting of three lower-order constructs (preventive maintenance, predictive maintenance, and reactive maintenance) and three constructs higher-order (implementation of RCM, equipment downtime, and productivity). Reliability Centered Maintenance (RCM) was found to have a positive and significant effect on productivity. Reliability Centered Maintenance (RCM) was found to have a positive and significant impact on Equipment Downtime. Equipment Downtime is a mediating variable in the relationship between reliability-centered Maintenance (RCM) and productivity. Reliability-centered maintenance (RCM) with its lower order Preventive Maintenance construct was found to have a positive and significant effect on productivity. Reliability-centered maintenance (RCM), with its lower order Predictive Maintenance construct, was found to have a positive and significant impact on productivity. Reliability-centered maintenance (RCM), with its lower order Reactive Maintenance construct, was found to have a positive and significant effect on productivity.