Zobraziť v EDS

Availability-based sequential preventive maintenance and replacement models for complex mechanically repairable machines.

Uložené v:
Podrobná bibliografia
Názov: Availability-based sequential preventive maintenance and replacement models for complex mechanically repairable machines.
Autori: Uko, Iniobong1 (AUTHOR), Udoh, Nse1 (AUTHOR) nsesudoh@uniuyo.edu.ng, Ohaegbunem, Fredrick1 (AUTHOR)
Zdroj: Communications in Statistics: Theory & Methods. Oct2025, p1-23. 23p. 1 Illustration.
Predmety: *RELIABILITY in engineering, *COST benefit analysis, CONDITION-based maintenance, WEIBULL distribution, HAZARDS
Abstrakt: AbstractThe purpose of this research is to investigate the efficacy of condition-based maintenance strategies, tailored to complex systems exhibiting increasing hazard rates. By focusing on system availability as a key indicator, the study aims to develop models that optimize maintenance schedules and resource allocation, ensuring high operational reliability, extended system lifespan, and cost-effective management of maintenance activities. The study adopts a hybrid approach to establish a theoretical framework grounded in the Weibull distribution to model systems with increasing hazard rates. Three distinct models are developed based on system availability as the primary condition indicator. These models are then validated and refined through empirical data and case studies to derive optimal availability thresholds and corresponding maintenance schedules. The research employs a cost-benefit analysis to assess the impact of different maintenance strategies on system reliability, lifespan extension, and overall maintenance costs. By integrating theoretical insights with practical applications, the study aims to provide actionable recommendations for organizations seeking to enhance operational efficiency and resource management through proactive maintenance practices. [ABSTRACT FROM AUTHOR]
Copyright of Communications in Statistics: Theory & Methods is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáza: Business Source Index
Popis
Abstrakt:AbstractThe purpose of this research is to investigate the efficacy of condition-based maintenance strategies, tailored to complex systems exhibiting increasing hazard rates. By focusing on system availability as a key indicator, the study aims to develop models that optimize maintenance schedules and resource allocation, ensuring high operational reliability, extended system lifespan, and cost-effective management of maintenance activities. The study adopts a hybrid approach to establish a theoretical framework grounded in the Weibull distribution to model systems with increasing hazard rates. Three distinct models are developed based on system availability as the primary condition indicator. These models are then validated and refined through empirical data and case studies to derive optimal availability thresholds and corresponding maintenance schedules. The research employs a cost-benefit analysis to assess the impact of different maintenance strategies on system reliability, lifespan extension, and overall maintenance costs. By integrating theoretical insights with practical applications, the study aims to provide actionable recommendations for organizations seeking to enhance operational efficiency and resource management through proactive maintenance practices. [ABSTRACT FROM AUTHOR]
ISSN:03610926
DOI:10.1080/03610926.2025.2568703