GEOMETRIC HAZARD-BASED PREVENTIVE MAINTENANCE AND REPLACEMENT (GHBPMAR) MODEL FOR AGING MECHANICALLY REPAIRABLE MACHINES

This work aims to develop a geometric hazard-based preventive maintenance model to improve the sustainability of aging mechanically repairable machines particularly in developing countries. The goal is to optimize maintenance and replacement schedules to meet user needs effectively. The model utilizes a geometric process as a hazard rate adjustment factor to account for increasing deterioration rates of machines due to aging and prolong usage and applies same model to a cassava grinding machine across three phases of lifespan: average lifespan, beyond average lifespan, and beyond initial replacement age. The Weibull failure distribution is used to characterize the machine's increasing failure rate. The result reveals that the machine’s operational time decreases following preventive maintenance, and maintenance costs increase as the machine progresses through many phases of its lifespan. This highlights the model's effectiveness in managing the cost and timing of maintenance activities. The model's implementation can significantly impact communities in developing countries by improving the reliability and lifespan of essential machinery like cassava grinding machines and other industrial machines which can lead to stable local economies. This approach helps in managing costs and improving the sustainability of machines, especially in resource-constrained environments over extended lifespan.

Publication Details

Journal
cyberleninka.ru
Published
2025-01-01
DOI
https://doi.org/10.24412/1932-2321-2025-284-655-662
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
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article

GEOMETRIC HAZARD-BASED PREVENTIVE MAINTENANCE AND REPLACEMENT (GHBPMAR) MODEL FOR AGING MECHANICALLY REPAIRABLE MACHINES

cyberleninka.ru
Reliability and Maintenance Optimization
article

GEOMETRIC HAZARD-BASED PREVENTIVE MAINTENANCE AND REPLACEMENT (GHBPMAR) MODEL FOR AGING MECHANICALLY REPAIRABLE MACHINES

article en

Abstract

This work aims to develop a geometric hazard-based preventive maintenance model to improve the sustainability of aging mechanically repairable machines particularly in developing countries. The goal is to optimize maintenance and replacement schedules to meet user needs effectively. The model utilizes a geometric process as a hazard rate adjustment factor to account for increasing deterioration rates of machines due to aging and prolong usage and applies same model to a cassava grinding machine across three phases of lifespan: average lifespan, beyond average lifespan, and beyond initial replacement age. The Weibull failure distribution is used to characterize the machine's increasing failure rate. The result reveals that the machine’s operational time decreases following preventive maintenance, and maintenance costs increase as the machine progresses through many phases of its lifespan. This highlights the model's effectiveness in managing the cost and timing of maintenance activities. The model's implementation can significantly impact communities in developing countries by improving the reliability and lifespan of essential machinery like cassava grinding machines and other industrial machines which can lead to stable local economies. This approach helps in managing costs and improving the sustainability of machines, especially in resource-constrained environments over extended lifespan.

cyberleninka.ru
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Reliability and Maintenance Optimization
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GEOMETRIC HAZARD-BASED PREVENTIVE MAINTENANCE AND REPLACEMENT (GHBPMAR) MODEL FOR AGING MECHANICALLY REPAIRABLE MACHINES · cyberleninka.ru (2025) | TGRS Research Map | TGRS