RELIABILITY BASED MODELLING FOR FAILURE ANALYSIS IN MILK PROCESS INDUSTRY

被引:0
|
作者
Gopal N. [1 ]
Panchal D. [2 ]
机构
[1] Dr. B R Ambedkar National Institute of Technology, Punjab, Jalandhar
[2] Department of Mechanical Engineering, National Institute of Technology, Haryana, Kurukshetra
来源
Decision Making: Applications in Management and Engineering | 2023年 / 6卷 / 01期
关键词
availability; Dairy industry; failure analysis; fuzzy; JBLT; maintenance schedule;
D O I
10.31181/dmame24022023g
中图分类号
学科分类号
摘要
The suggested hybridized framework offers a paradigm for performance optimization-reliability-based analysis of milk processing unit’s (MPU) failure behavior in the dairy industry. The proposed hybridized framework led to the development of fuzzy Jaya Based Lambda-Tau (JBLT) technique-based mathematical model for computing various performance parameters of the under-consideration unit. The availability of the system drops by 0.044% as the level of uncertainty or spread level increases from ± 15% to ± 25% and drops to 0.088% as the level of uncertainty increases from ± 25% to ± 60%. To corroborate the system’s availability downward trend, the results of JBLT approach were compared with Particle Swarm Optimization-Based Lambda-Tau (PSOBLT) and conventional Fuzzy Lambda-Tau (FLT) techniques. The analysis findings were given to the maintenance manager so they could create the best maintenance schedule for the considered plant. © 2023 by the authors.
引用
收藏
页码:631 / 645
页数:14
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