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Using Systemability Function for Periodic Replacement Policy in Real Environments
Author(s) -
Sgarbossa Fabio,
Persona Alessandro,
Pham Hoang
Publication year - 2015
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1620
Subject(s) - preventive maintenance , reliability (semiconductor) , computer science , relevance (law) , function (biology) , reliability engineering , operations research , risk analysis (engineering) , engineering , business , political science , law , power (physics) , physics , quantum mechanics , evolutionary biology , biology
In the last decades, various maintenance policies have been developed and widely used, including, but not limited to replacement policy and preventive maintenance policy, depending on an accurate estimation of the reliability and the failure intensity functions. Many studies, yet, haven't considered the environmental factors (EFs) and their effects on the survival distribution of operating units. This paper is a following up with our recent research about environmental impacts on preventive maintenance by investigating the periodic replacement policy using a systemability approach. The differences between the classical maintenance approach and the systemability approach have been investigated and applied to a real industrial setting to evaluate the importance and the relevance of taking into account EFs in the implementation of one maintenance policy versus another. Copyright © 2014 John Wiley & Sons, Ltd. Highlights This research investigates the impacts of different operational environments in periodic replacement policy, using a new concept called systemability. New mathematical formulations for periodic replacement policy have been introduced and applied to real case studies. Comparison between classical approach and new approach allows to validate the use of systemability and to quantify the impact of operational conditions on total cost.