PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Optimizing repair/replacement policy if cumulative distribution function of time-to-repair is rational function

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
17th Summer Safety & Reliability Seminars - SSARS 2023, 9-14 July 2023, Kraków, Poland
Języki publikacji
EN
Abstrakty
EN
A problem of finding the optimal repair/replacement policy of a technical object is under investigation. Depending on the distribution of the time-to-repair and certain cost parameters, a decision is taken whether to repair a failed object or replace it immediately after it fails. If a repair is chosen and it is not completed within a certain period, it is interrupted and the object is replaced by a new one. The optimization task consists in formulating the conditions for choosing between immediate replacement and repair, and deriving the analytical equation for the maximum duration of a repair. The objective function is the expected cost of restoring the object to the operating condition. It is assumed that the cumulative distribution function (CDF) of the time-to-repair is a rational function (a quotient of polynomials). The properties of such CDFs are analyzed and the solutions of several optimization tasks with different CDFs that are rational functions are presented. The issue of fitting the time-to-repair distribution to empirical data is also addressed.
Twórcy
  • Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland
Bibliografia
  • Arnold, B.C. 2015. Pareto Distributions, Second Edition. Taylor & Francis, Chapman & Hall/CRC, New York.
  • Cha, J.H. & Finkelstein, M. 2019. Stochastic modeling for systems with delayed failures. Reliability Engineering & System Safety 188, 118-124.
  • De Jonge, B. & Scarf, P. 2019. A Review on maintenance optimization. European Journal of Operational Research 285(3), 805-824.
  • Grabski, F. 2015. Semi-Markov Processes: Applications in System Reliability and Maintenance. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Sydney - Tokyo.
  • Jardine, A.K.S. & Tsang, A.H.C. 2022. Maintenance, Replacement and Reliability: Theory and Applications, Third Edition. CRC Press, Boca Raton.
  • Jokiel-Rokita, A. & Magiera, R. 2011. Selected Stochastic Models in Reliability. Wroclaw University of Technology, Wroclaw.
  • Nakagawa, T. 2005. Maintenance Theory of Reliability. Springer Series in Reliability Engineering. Springer-Verlag, London.
  • Nakagawa, T. 2008. Advanced Reliability Models and Maintenance Policies. Springer Series in Reliability Engineering. Springer-Verlag, London.
  • Nakagawa, T. 2011. Stochastic Processes with Applications to Reliability Theory. Springer Series in Reliability Engineering. Springer-Verlag, London.
  • Rebaiaia, M.L. & Ait-kadi, D. 2021. Maintenance policies with minimal repair and replacement on failures: analysis and comparison. International Journal of Production Research 59(23), 6995-7017.
  • Safaei, F., Ahmadi, J. & Balakrishnan, N. 2019. A repair and replacement policy for repairable systems based on probability and mean of profits. Reliability Engineering and System Safety 183, 143-152.
  • Tadj, L., Ouali, M.-S., Yacout, S. & Ait-Kadi, D. 2011. Replacement Models with Minimal Repair. Springer Series in Reliability Engineering. Springer-Verlag, London - Dordrecht - Heidelberg - New York.
  • Zhao, J., Gao, C. & Tang, T. 2022. A Review of Sustainable Maintenance Strategies for Single Component and Multicomponent Equipment, Sustainability 14(5), 2992.
  • Zhao, X. & Nakagawa, T. 2018. Advanced Maintenance Policies for Shock and Damage Models. Springer Series in Reliability Engineering. Springer.
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).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a9402157-4be9-4552-ad61-e6de66ccc52b
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.