A method for obtaining the preventive maintenance interval in the absence of failure time data

• Autorzy: Sánchez-Herguedas Antonio , Mena-Nieto Ángel , Rodrigo-Muñoz Francisco

Identyfikatory

DOI

10.17531/ein.2022.3.17

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

ship maintenance; preventive interval; maintenance model; semi-Markovian process; incomplete data; Weibull function; maintenance costs

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2022
• Tom: Vol. 24, no. 3
• Strony: 564--573
• Opis fizyczny: Bibliogr. 50 poz., rys., tab.

Twórcy

autor

Sánchez-Herguedas Antonio

• University of Seville, Department of Industrial Management I, School of Engineering, Camino de los Descubrimientos s/n, 41092 Seville, Spain

• https://orcid.org/0000-0001-5135-3250

autor

Mena-Nieto Ángel

• University of Huelva, Department of Electrical and Thermal Engineering, Design and Projects, School of Engineering, Centre for Advanced Studies in Physics, Mathematics and Computation, Campus El Carmen, 21071 Huelva, Spain

• https://orcid.org/0000-0002-0828-0612

autor

Rodrigo-Muñoz Francisco

• University of Seville, Department of Applied Mathematics II, School of Engineering, Camino de los Descubrimientos s/n, 41092 Seville, Spain

• https://orcid.org/0000-0001-5350-9378

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).