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This paper deals with the maintenance cost of deteriorating systems. Two maintenance strategies are studied: age-replacement and condition-based maintenance. To compare these two policies, degradation models are used: these models characterize the degradation level but also the system time-to-failure. In order to compute the optimal condition-based maintenance cost, we suppose that the main influencing sources are the preventive threshold, the inspection frequency and the inspection cost. Numerical examples illustrate the maintenance cost computation and compare the optimal costs of both policies.
Rocznik
Tom
Strony
85--92
Opis fizyczny
Bibliogr. 19 poz., rys., wykr.
Twórcy
autor
- LAGIS, Lille, France
- Volvo Technology, Lyon, France
autor
- Volvo Technology, Lyon, France
autor
- UTT, ICD/LM2S, Troyes, France
autor
- LAGIS, Lille, France
Bibliografia
- [1] Abdel-Hameed, M. (1975). A gamma wear process. IEEE Transactions on Reliability, 24(2), 152-153.
- [2] Asmussen, S. (1987). Applied Probability and Queues. Wiley Series in Probability and Mathematical Statistics, New York.
- [3] Aven, T. & Jensen, U. (1999). Stochastic Models in Reliability, Series Applications of Mathematics − Stochastic Modelling and Applied Probability, Springer, vol. 41.
- [4] Barlow, R. E. & Proschan, F. (1996). Mathematical Theory of Reliability, SIAM, Classics in applied mathematics, vol. 17, 1996, Previously published by John Wiley \& Sons, Inc., New York.
- [5] Çinlar, E. (1977). Shock and Wear Models and Markov Additive Processes. In The Theory and Applications of Reliability, Academic Press, New York. 193-214.
- [6] Dagg, R. A. (1999). Optimal Inspection and Maintenance for Stochastically Deteriorating Systems. Ph.D. thesis.
- [7] Dekker, R. & Scarf, P. A. (1998). On the Impact of Optimisation Models in Maintenance Decision Making: the State of the Art, RESS, vol. 60, no 2, 111-119.
- [8] Grall, A. Bérenguer, C. & Dieulle, L. (2002). A condition-based maintenance policy for stochastically deteriorating systems. Reliability Engineering & System Safety. 76, 167-180.
- [9] Gertsbakh, I. (1977). Models of Preventive Maintenance, North-Holland, Amsterdam – New York – Oxford.
- [10] Gertsbakh, I. (2000). Reliability Theory – With Applications to Preventive Maintenance, Springer, Berlin.
- [11] Meeker, W.Q. & Escobar, L.A. (1998). Statistical Methods for Reliability Data, John Wiley & Sons.
- [12] Nikulin, M. & Gerville-Réach, L. & Couallier, V. (2007). Statistique des essais accélérés. Lavoisier, Paris.
- [13] Van Noortwijk J. M. (2007). A survey of the application of gamma processes in maintenance.
- [14] Rausand, M. & Høyland, A. (2004). System Reliability Theory. Models, Statistical Methods, and Applications. Second Edition. John Wiley & Sons, Inc., Hoboken.
- [15] Scarf, P. A. (1997). On the Modelling of Condition Based Maintenance, in Advances in Safety and Reliability – Proc. of the ESREL'97 International Conference on Safety and Reliability - 17-20 June, 1997, Lisbon, Portugal - Vol. 3, Guedes Soares, C., Pergamon, 1701-1708.
- [16] Scarf, P. A. (1997). On the Application of Mathematical Models in Maintenance. EJOR, vol. 99, num. 3, 493-506.
- [17] Singpurwalla, N. (1995). Survival in Dynamic Environment. Statistical Science, Vol. 10, 86-103.
- [18] Valdez-Flores, C. & Feldman, R. M. (1989). A Survey of Preventive Maintenance Models for Stochastically Deteriorating Single-Unit Systems. NAVAL, vol. 36, 419-446.
- [19] Wang, H. (2002). A Survey of Maintenance Policies of Deteriorating Systems. EJOR, vol. 139, 469-489.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b12d9113-4174-4907-becc-6af4870194f7