Cataloging Of Unit Replacement Based On Long Run Repair Average Cost Rate (ACR) Based On Weibull Distribution Model

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Dr. K. UMAMAHESWARI, K. SUBRAHMANYAM, Dr.A. Mallikarjuna Reddy et. al.

Abstract

Large amounts of money are lost each year in the real-estate industry because of poor schedule and cost
control, In Industry the investigated failure and repair pattern, reliabilities of generators, compressors, turbines,
using simple statistical tools and simulation techniques. The repair duration is divided into the 1)Major repair
2)Minor repair ,In major repair having(repair hour greater than a threshold valve)and Minor repair having(repair
hour less than (or)equal to threshold valve).This approach is mainly for Weibull distribution method. In Weibull
analysis is a common method for failure analysis and reliability engineering used in a wide range of applications. In
this paper, the applicability of Weibull analysis for evaluating and comparing the reliability of the schedule
performance of multiple projects is presented, while the successive performance of multiple projects is presented
,while the successive repair times are increasing and are exposing to Weibull distribution ,under these assumptions
,an optimal replacement policy ‘T’ in which we replace the system ,when the repair time reaches T. It can be
determined that an optimal repair replacement policy T* such that long run average cost and the corresponding
optimal replacement policy T* can be determined analytically.

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How to Cite
et. al., D. K. U. K. S. D. M. R. (2021). Cataloging Of Unit Replacement Based On Long Run Repair Average Cost Rate (ACR) Based On Weibull Distribution Model. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), 1880–1886. https://doi.org/10.17762/turcomat.v12i11.6140
Section
Research Articles