Abstract
In this paper we consider the block replacement policy (BRP) for a system operating over a random time horizon. Under such a policy, a system is replaced by a new one either at failure or at a given time interval. The optimality criterion is the expected total replacements cost. Conditions under which an optimal replacement period exits are given. It is shown that BRP over an infinite time horizon is obtained as a particular case of the present work. A numerical example is given to illustrate the proposed replacement model.
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Aghezzaf E. H., Jamali M. A., Ait-Kadi D. (2007) An integrated production and preventive maintenance palanning model. European Journal of Operational Research 181: 679–685
Barlow R., Hunter L. (1960) Optimum preventive maintenance policies. Operations Research 8(1): 90–100
Barlow, R., & F. Proschan (1996). Mathematical theory of reliability. Society for Industrial and Applied Mathematics, US, reprint (31 December) edition.
Berenguer C., Chu C., Grall A. (1997) Inspection and maintenance planning: An application of semi-Markov decision processes. Journal of Intelligent Manufacturing 8: 467–476
Chelbi A., Rezg N., Radhoui M. (2008) Simultaneous determination of production lot size and preventive maintenance schedule for unreliable production system. Journal of Quality in Maintenance Engineering 14(2): 1355–2511
Cho D. I., Parlar M. (1991) A survey of maintenance models for multi-unit systems. European Journal of Operational Research 51: 1–23
Dekker R. (1996) Application of maintenance optimization models: A review and analysis. Reliability Engineering and system safety 51(3): 229–240
Hopp W., Nair S. (1991) Timing replacement decisions under discontinuous technological change. Naval Research Logistics 38: 203–220
Jardine A., Tsang A. (2006) Maintenance, replacement and reliability, theory and applications. Broken Sound Parkway, NW, Taylor & Francis Group.
Khatab, A., Rezg, N., & Ait-Kadi, D. (2009). Optimal replacement with minimal repair policy for a system operating over a random time horizon. Journal of Quality in Maintenance Engineering (Submitted).
Miller G. K., Bhat V. N. (1997) Estimation for renewal processes with unobservable Gamma or Erlang inerarrival times. Journal of Statistical Planning and Inference 61(2): 355–372
Nakagawa, T. (2008). Advanced reliability models and maintenance policies. Springer-Verlag London Limited.
Nakagawa T., Mizutani S. (2009) A summary of maintenance policies for afinite interval. Reliability Engineering and system safety 94(1): 89–96
Pham-Gia T., Turkkan N. (1999) System availability in a gamma alternating renewal processes. Naval Research Logistics 46(7): 822–844
Schutz, J., Rezg, N. & Léger, J.-B. (2009). Periodic and sequential preventive maintenance policies over a finite planning horizon with a dynamic failure law. Journal of Intelligent Manufacturing (doi:10.1007/s10845-009-0313-7).
Sheu D. D., Kuo J. Y. (2006) A model for preventive maintenance operations and forcasting. Journal of Intelligent Manufacturing 17(4): 441–451
Wells C., Bryant J. (1985) Optimal preventive maintenance policies for systems with missions of random duration. IIE Transactions 17(4): 338–345
Won Y., Chung H. (2000) Optimum replacement intervals with random time horizon. Journal of Quality in Maintenance Engineering 6(4): 269–274
Yang Z. M., Djurdjanovic D., Ni J. (2008) Maintenance scheduling in maufacturing systems based on predicted machine degradation. Journal of Intelligent Manufacturing 19(1): 87–98
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Khatab, A., Rezg, N. & Ait-Kadi, D. Optimum block replacement policy over a random time horizon. J Intell Manuf 22, 885–889 (2011). https://doi.org/10.1007/s10845-009-0364-9
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DOI: https://doi.org/10.1007/s10845-009-0364-9