Maintenance problems of technical systems composed of heterogeneous elements

• Autorzy: Jodejko A.
• Języki publikacji: EN

Abstrakty

EN

The paper gives a short insight into the complexity of maintenance problems of a system composed of heterogeneous elements. The article proposes a simple algorithm to define parameters of block maintenance policy of multi-unit systems composed of elements with economic dependency. The procedure may be used especially in the case when elements of a system are not identical in the sense of their probability characteristics and analytical solution is inaccessible.

Słowa kluczowe

EN

multi-unit system; heterogeneous system; block maintenance policy; economic dependency

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2008
• Tom: Vol. 1
• Strony: 187--193
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wykr.

Twórcy

autor

Jodejko A.

• Wrocław University of Technology, Wrocław, Poland

Bibliografia

• [1] Archibald, T. W. & Dekker, R. (1996). Modified block-replacement for multi-component systems. IEEE Transactions on Reliability 45(1), 75-83.
• [2] Bevilacqua, M. & Braglia, M. (2000). The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering and System Safety 70, 71-83.
• [3] Castanier, B., Grall, A. & Berenguer, C. (2005). A condition-based maintenance policy with nonperiodic inspections for a two-unit series system. Reliability Engineering and System Safety 87, 109-120.
• [4] Chelbi, A., Ait-Kadi, D. & Aloui, H. (2007). Availability optimization for multi-component system subjected to periodic replacement. Risk, Reliability and Societal Safety - Aven & Vinnem (eds). Procc. of ESREL ’07, 1109-1114.
• [5] Cho, D. I. & Parlar, M. (1991). A survey of maintenance models for multi-unit systems. European Journal of Operational Res. 51, 1-23.
• [6] Degbotse, A. T. & Nachlas, J. A. (2003). Use of nested renewals to model availability under opportunistic maintenance policies. 2003 Proceedings Annual Reliability And Maintainability Symposium, 344-350.
• [7] Dekker, R. (1995). Applications of maintenance optimization models: A review and analysis. Reliability Engineering and System Safety 51, 229-240.
• [8] Dekker, R. & Roelvink, I. F. K. (1995). Marginal cost criteria for preventive replacement of a group of components. European. Journal of Operational Research 84, 467-480.
• [9] Dekker, R., Wildeman R. E. & Van Egmond, R. (1996). Joint replacement in an operational planning phase. European Journal of Operational Research 91, 74-88.
• [10] Duthie, J. C., Robertson, M. I., Clayton, A. M. & Lidbury, D. P. G. (1998). Risk-based approaches to ageing and maintenance management. Nuclear Engineering and Design 184, 27-38.
• [11] Haque, S. A., Zohrul Kabir, A. B. M. & Sarker, R. A. (2003). Optimisation model for opportunistic replacement policy using genetic algorithm with fuzzy logic controller. The 2003 Congress on Evolutionary Computation, 2003. CEC '03.
• [12] Kececioglu, D. & Sun, F. B. (1994). A general discrete-time programming model for the opportunistic replacement policy and its application to ball-bearing systems. Reliability Engineering and System Safety 47, 175-185.
• [13] Lapa, C. M. F., Pereira, C. M. N. A. & Barros, M. P. (2006). A model for preventive maintenance planning by genetic algorithms based in cost and reliability. Reliability Engineering and System Safety 91, 233-240.
• [14] Legat, V., Zaludova, A. H., Cervenka, V. & Jurca, V. (1996). Contribution to optimization of preventive replacement. Reliability Engineering and System Safety 51, 259-266.
• [15] Popova, E. (2004). Basic optimality results for Bayesian group replacement policies. Operations Research Letters 32, 283-287.
• [16] Nicolai, R. P. & Dekker, R. (2007) A review of multi-component maintenance models. Risk, Reliability and Societal Safety-Aven & Vinnem (eds). Procc. of ESREL ’07, 289-296.
• [17] Nowakowski, T. & Werbińska, S. (2008). Maintenance modelling concepts - state of art. International Journal of Gnedenko e-Forum (in preparation).
• [18] Siqueira, J. P. (2004). Optimum reliability-centered maintenance task frequencies for power system equipments. 8th International Conference on Probabilistic Methods Applied to Power Systems, Iowa State University, Ames, Iowa, 162-167.
• [19] Thomas, L. C. (1986). A survey of maintenance and replacement models for maintainability and reliability of multi-item systems. Reliability Engineering 16, 297-309.
• [20] Vanneste, S. G. & Van Wassenhove, L. N. (1995). An integrated and structured approach to improve maintenance. European Journal of Operational Research 82, 241-257.
• [21] Vijnmalen, D. J. D. & Hontelez, J. A. M. (1997). Coordinated condition-based repair strategies for component of a multi-component maintenance system with discounts. European Journal of Operational Research 98, 52-63.
• [22] Waeyenbergh, G. & Pintelon, L. (2002). A framework for maintenance concept development. International Journal of Production Economics 77, 299-313.
• [23] Waeyenbergh, G. & Pintelon, L. (2004). Maintenance concept development: A case study. International.
• [24] Walker, J. (1997). Base stock level determination for "insurance type" spares. International Journal of Quality & Reliability Management 14(6), 569-574.
• [25] Wang, H. (2002). A survey of maintenance policies of deteriorating systems. European Journal of Operational Research 139, 469-489.
• [26] Wang, K.,S., Tsai, Y.,T. & Lin, C. H. (1997). A study of replacement policy for components in a mechanical system. Reliability Engineering and System Safety 58, 191-199.
• [27] Zamojski, W. (eds) (1981). Niezawodność i eksploatacja systemów. Politechnika Wrocławska, Wrocław (in Polish).
• [28] Zheng, X. & Fard, N. (1992). Hazard-rate tolerance method for an opportunistic-replacement policy. IEEE Transactions on Reliability 41(1), 13-20.
• [29] Zohrul Kabir, A. B. M. & Farrash, S. H. A. (1996). Simulation of an integrated age replacement and spare provisioning policy using SLAM. Reliability Engineering and System Safety 52, 129-138.