老化可修系统的几何不完全预防性维修和更换(GIPMAR)模型

Nse-Obong Udoh, E. Effanga
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引用次数: 1

摘要

本研究旨在开发一个几何不完美预防性维护(PM)和更换模型(GIPMAR),用于老化的可修复系统,并延长使用时间,以满足用户在三个阶段的需求:在平均寿命内,超过平均寿命和超过系统的初始更换年龄。设计/方法/方法作者利用几何过程(GP)作为危险函数来表征系统不断增加的故障率(IFR)。Lin et al.(2000)将GP危害函数纳入了杂交预防和替换模型。所得到的期望成本率函数进行了优化,以获得最佳的PM/更换间隔和每个周期所需的PM数量。将提出的GIPMAR模型应用于具有威布尔寿命函数特征的可修系统,得到了系统运行三个不同阶段的维修/更换计划。研究结果:提出的GIPMAR模型是Lin等人(2000)PM模型的推广,该模型与早期模型的结果可比较,并适用于发展中国家的情况,在这些国家中,系统在本工作中描述的三个操作阶段中使用。这可能是由于经济困难和经营环境。实际影响建议的模型提供了从未考虑过的不同操作阶段的PM/更换时间表。这将为发展中国家的维修工程师和最终用户提供有用的指南,以期尽量减少维修的平均费用,并减少系统停机的次数。适当实施GIPMAR模型将确保系统的有效运行,组织的最佳工时需求,并保证客户在竞争环境中的善意。原创性/价值在这项工作中,作者扩展了Lin等人(2000)的PM模型,为老化的可修复系统提供PM/更换计划,这在早期的现有模型和文献中没有提供。
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Geometric imperfect preventive maintenance and replacement (GIPMAR) model for aging repairable systems
PurposeThis work seeks to develop a geometric imperfect preventive maintenance (PM) and replacement model (GIPMAR) for aging repairable systems due to age and prolong usage that would meet users need in three phases: within average life span, beyond average life span and beyond initial replacement age of system.Design/methodology/approachThe authors utilized the geometric process (GP) as the hazard function to characterize the increasing failure rate (IFR) of the system. The GP hazard function was incorporated into the hybridized preventive and replacement model of Lin et al. (2000). The resultant expected cost rate function was optimized to obtain optimum intervals for PM/replacement and required numbers of PM per cycle. The proposed GIPMAR model was applied to repairable systems characterized by Weibull life function and the results yielded PM/replacement schedules for three different phases of system operation.FindingsThe proposed GIPMAR model is a generalization of Lin et al. (2000) PM model that were comparable with results of earlier models and is adaptive to situations in developing countries where systems are used across the three phases of operation depicted in this work. This may be due to economic hardship and operating environment.Practical implicationsThe proposed model has provided PM/Replacement schedules for different phases of operation which was never considered. This would provide a useful guide to maintenance engineers and end-users in developing countries with a view to minimizing the average cost of maintenance as well as reducing the number of down times of systems.Social implicationsA duly implemented GIPMAR model would ensure efficient operation of systems, optimum man-hour need in the organization and guarantee customer's goodwill in a competitive environment.Originality/valueIn this work, the authors have extended Lin et al. (2000) PM model to provide PM/replacement schedules for aging repairable systems which was not provided for in earlier existing models and literature.
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来源期刊
CiteScore
5.60
自引率
12.00%
发文量
53
期刊介绍: In today''s competitive business and industrial environment, it is essential to have an academic journal offering the most current theoretical knowledge on quality and reliability to ensure that top management is fully conversant with new thinking, techniques and developments in the field. The International Journal of Quality & Reliability Management (IJQRM) deals with all aspects of business improvements and with all aspects of manufacturing and services, from the training of (senior) managers, to innovations in organising and processing to raise standards of product and service quality. It is this unique blend of theoretical knowledge and managerial relevance that makes IJQRM a valuable resource for managers striving for higher standards.Coverage includes: -Reliability, availability & maintenance -Gauging, calibration & measurement -Life cycle costing & sustainability -Reliability Management of Systems -Service Quality -Green Marketing -Product liability -Product testing techniques & systems -Quality function deployment -Reliability & quality education & training -Productivity improvement -Performance improvement -(Regulatory) standards for quality & Quality Awards -Statistical process control -System modelling -Teamwork -Quality data & datamining
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