A Situational Based Reliability Indices Estimation of ULT Freezer using Preventive Maintenance under Fuzzy Environment

P. Dhiman, Amit Kumar
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引用次数: 1

Abstract

Reliability of high demand machines is quite necessary and it can be maintained through proper and timely maintenance, Ultra-low temperature (ULT) freezer is one of those kinds of machines which are in high demand during covid-19 pandemic for the storage of vaccine. The rapid production of vaccines for the prevention of coronavirus disease 2019 (COVID-19) is a worldwide requirement. Now the next challenge is to store the vaccine in a ULT freezer. It’s become really a big problem to store the vaccine which creates the demand of ULT freezer. The present paper investigates a situational based performance of the ULT freezer with the aim to predict the impact of different component failures as well as human errors on the final performance of the same. For the study, it is not possible to extract the parameters (failure rate and repair time) of the components that never failed before. Thus, to overcome this difficulty, here authors use the possibility theory. Authors present the available data in Right triangular fuzzy number with some tolerance as suggested by system analyst. The lambda-tau methodology and arithmetic operations on right triangular generalized fuzzy numbers (RTrFN) are used to find the various performance parameters namely MTTF, MTTR, MTBF, reliability, availability, maintainability (RAM) and ENOF, under fuzzy environment. The proposed model has been studied using possibility theory under working conditions, preventive maintenance as well as under the rest of conditions. This study reveals the most and least critical component of the ULT freezer which helps maintenance department to plan the maintenance strategy accordingly.
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模糊环境下基于情景的ULT冷冻库预防性维修可靠性指标估计
高需求机器的可靠性是非常必要的,它可以通过适当和及时的维护来维持。超低温(ULT)冷冻柜是新冠肺炎大流行期间对疫苗储存需求量很大的机器之一。快速生产用于预防2019冠状病毒病(新冠肺炎)的疫苗是世界范围的要求。现在,下一个挑战是将疫苗储存在ULT冷冻柜中。储存疫苗真的成了一个大问题,这就产生了对ULT冷冻柜的需求。本文研究了ULT冷冻柜基于情景的性能,旨在预测不同部件故障以及人为错误对其最终性能的影响。对于该研究,无法提取以前从未发生过故障的部件的参数(故障率和修复时间)。因此,为了克服这一困难,本文作者运用了可能性理论。根据系统分析员的建议,作者给出了具有一定容差的直角三角形模糊数的可用数据。利用lambda-tau方法和对右三角广义模糊数(RTrFN)的算术运算,求出了模糊环境下的各种性能参数,即MTTF、MTTR、MTBF、可靠性、可用性、可维护性(RAM)和ENOF。在工作条件、预防性维护以及其他条件下,使用可能性理论对所提出的模型进行了研究。本研究揭示了ULT冷冻柜最关键和最不关键的部件,有助于维护部门相应地规划维护策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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