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A method for obtaining the preventive maintenance interval in the absence of failure time data
 
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Online publication date: 2022-07-02
 
 
Publication date: 2022-07-02
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2022;24(3):564-573
 
HIGHLIGHTS
  • A new method to find the preventive interval optimizes the asset's costs and incomes.
  • This method contains low mathematical complexity and rapid execution.
  • The Weibull distribution and a semi-Markovian model are used to compute the returns.
  • Use of failure data when the time values for such failures are unknown.
  • Apply to those assets that do not have an instrument that measures the operating hours.
KEYWORDS
ABSTRACT
One of the ways to reduce greenhouse gas emissions and other polluting gases caused by ships is to improve their maintenance operations through their life cycle. The maintenance manager usually does not modify the preventive intervals that the equipment manufacturer has designed to reduce the failure. Conditions of use and maintenance often change from design conditions. In these cases, continuing using the manufacturer's preventive intervals can lead to non-optimal management situations. This article proposes a new method to calculate the preventive interval when the hours of failure of the assets are unavailable. Two scenarios were created to test the effectiveness and usefulness of this new method, one without the failure hours and the other with the failure hours corresponding to a bypass valve installed in the engine of a maritime transport surveillance vessel. In an easy and fast way, the proposed method allows the maintenance manager to calculate the preventive interval of equipment that does not have installed an instrument for measuring operating hours installed.
 
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Gennady Ivanov, Pavlo Polyansky
UKRAINIAN BLACK SEA REGION AGRARIAN SCIENCE
 
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Antonio Sánchez-Herguedas, Antonio Jesús Guillén-López, Francisco Rodrigo-Muñoz
 
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Finite time preventive maintenance optimization by using a Semi-Markov process with a degraded state. A case study for diesel engines in mining
Antonio Sánchez-Herguedas, Ángel Mena-Nieto, Adolfo Crespo-Márquez, Francisco Rodrigo-Muñoz
Computers & Industrial Engineering
 
eISSN:2956-3860
ISSN:1507-2711
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