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Journal ArticleDOI

Optimum Preventive Maintenance Policies

01 Feb 1960-Operations Research (INFORMS)-Vol. 8, Iss: 1, pp 90-100
TL;DR: In this paper, two types of preventive maintenance policies are considered, and the optimum policies are determined, in each case, as unique solutions of certain integral equations depending on the failure distribution.
Abstract: Two types of preventive maintenance policies are considered. A policy is defined to be optimum if it maximizes “limiting efficiency,” i.e., fractional amount of up-time over long intervals. Elementary renewal theory is used to obtain optimum policies. The optimum policies are determined, in each case, as unique solutions of certain integral equations depending on the failure distribution. It is shown that both solutions are also minimum cost solutions when the proper identifications are made. The two optimum policies are compared under certain restrictions.
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Journal ArticleDOI
Hongzhou Wang1
TL;DR: This survey summarizes, classifies, and compares various existing maintenance policies for both single-unit and multi-unit systems, with emphasis on single- unit systems.

1,507 citations


Cites background from "Optimum Preventive Maintenance Poli..."

  • ...Þ and failures are removed by minimal repair (Barlow and Hunter, 1960, Policy II). As the concepts of minimal repair and especially imperfect maintenance (Pham and Wang, 1996) became more and more established, various extensions and variations of these two policies were proposed. One expansion of the ‘‘periodic replacement with minimal repair at failure’’ policy is the one where a unit receives imperfect PM every T time unit, intervening failures are subject to minimal repairs, and it is replaced after its age has reached ðOþ 1ÞT time units, where O is the number of imperfect PMs which have been done (Liu et al., 1995). O 1⁄4 0 is allowed in this policy, which means the unit will be replaced whenever it has operated for T time units and there will be no imperfect PM for it. The policy decision variables are O and T. Obviously, if O 1⁄4 0, this policy becomes the ‘‘periodic replacement with minimal repair at failure’’ policy. Berg and Epstein (1976) have modified the block replacement policy by setting an age limit. Under this modified policy, a failed unit is replaced by a new one; however, units whose ages are less than or equal to t0 ð06 t0 6 T Þ at the scheduled replacement times kT ðk 1⁄4 1; 2; . . .Þ are not replaced, but remain working until failure or the next scheduled replacement time point. Obviously, if t0 1⁄4 T , it reduces to the block replacement policy. This modified block replacement policy was shown to be superior to the block replacement policy in terms of the long-run maintenance cost rate. Tango (1978) suggests that some failed units be replaced by used ones, which have been collected before the scheduled replacement times. Under this extended block replacement policy, units are replaced by new ones at periodic times kT ðk 1⁄4 1; 2; . . .Þ. The failed units are, however, replaced by either new ones or used ones based on their individual ages at the times of failures. A time limit r is set in this policy, similar to t0 in Berg and Epstein (1976). Under this policy, if a failed unit’ age is less than or equal to a predetermined time limit r, it is replaced by a new one; otherwise, it is replaced by a used one. This policy is different from Berg and Epstein’s because it modifies the ordinary block replacement policy by considering rules on the failed units rather than on the working ones (cf. Berg and Epstein, 1976). Obviously, if r 1⁄4 T , this policy becomes the block replacement policy. Nakagawa (1981a,b) presents three modifications to the ‘‘periodic replacement with minimal repair at failure’’ policy. The modifications give alternatives that emphasize practical considerations. The three policies all establish a reference time T0 and periodic time T . If failure occurs before T0, then minimal repair occurs. If the unit is operating at time T , then replacement occurs at time T . If failure occurs between T0 and T , then: (Policy I) the unit is not repaired and remains failed until T ; (Policy II) the failed unit is replaced by a spare unit as many times as needed until T ; (Policy III) the failed unit is replaced by a new one. In all these three policies, the policy decision variables are T0 and T . Clearly, if T0 T , Policies I, II, and II all become the ‘‘periodic replacement with minimal repair at failure’’ policy. If T0 0, Policy III becomes the block replacement policy. Nakagawa (1980) also makes an expansion to the block replacement policy. In his policy, a unit is replaced at times kT ðk 1⁄4 1; 2; . . .Þ independent of the age of the unit. A failed unit remains failed until the next planned replacement. Another variant of the ‘‘periodic replacement policy with minimal repair’’ policy is also due to Nakagawa (1986), in which the replacement is scheduled at periodic times kT ðk 1⁄4 1; 2; . . .Þ and failure is removed by minimal repair. If the total number of failures is equal to or greater than a specified number n, the replacement should be done at the next scheduled time; otherwise, no maintenance should be done. The decision variable is n and T. In this policy, if n 1⁄4 1, this policy becomes the ‘‘periodic replacement with minimal repair at failure’’ policy. Chun (1992) studies determination of the optimal number of periodic PM’s under a finite planning horizon....

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  • ...Þ and failures are removed by minimal repair (Barlow and Hunter, 1960, Policy II). As the concepts of minimal repair and especially imperfect maintenance (Pham and Wang, 1996) became more and more established, various extensions and variations of these two policies were proposed. One expansion of the ‘‘periodic replacement with minimal repair at failure’’ policy is the one where a unit receives imperfect PM every T time unit, intervening failures are subject to minimal repairs, and it is replaced after its age has reached ðOþ 1ÞT time units, where O is the number of imperfect PMs which have been done (Liu et al., 1995). O 1⁄4 0 is allowed in this policy, which means the unit will be replaced whenever it has operated for T time units and there will be no imperfect PM for it. The policy decision variables are O and T. Obviously, if O 1⁄4 0, this policy becomes the ‘‘periodic replacement with minimal repair at failure’’ policy. Berg and Epstein (1976) have modified the block replacement policy by setting an age limit. Under this modified policy, a failed unit is replaced by a new one; however, units whose ages are less than or equal to t0 ð06 t0 6 T Þ at the scheduled replacement times kT ðk 1⁄4 1; 2; . . .Þ are not replaced, but remain working until failure or the next scheduled replacement time point. Obviously, if t0 1⁄4 T , it reduces to the block replacement policy. This modified block replacement policy was shown to be superior to the block replacement policy in terms of the long-run maintenance cost rate. Tango (1978) suggests that some failed units be replaced by used ones, which have been collected before the scheduled replacement times. Under this extended block replacement policy, units are replaced by new ones at periodic times kT ðk 1⁄4 1; 2; . . .Þ. The failed units are, however, replaced by either new ones or used ones based on their individual ages at the times of failures. A time limit r is set in this policy, similar to t0 in Berg and Epstein (1976). Under this policy, if a failed unit’ age is less than or equal to a predetermined time limit r, it is replaced by a new one; otherwise, it is replaced by a used one. This policy is different from Berg and Epstein’s because it modifies the ordinary block replacement policy by considering rules on the failed units rather than on the working ones (cf. Berg and Epstein, 1976). Obviously, if r 1⁄4 T , this policy becomes the block replacement policy. Nakagawa (1981a,b) presents three modifications to the ‘‘periodic replacement with minimal repair at failure’’ policy. The modifications give alternatives that emphasize practical considerations. The three policies all establish a reference time T0 and periodic time T . If failure occurs before T0, then minimal repair occurs. If the unit is operating at time T , then replacement occurs at time T . If failure occurs between T0 and T , then: (Policy I) the unit is not repaired and remains failed until T ; (Policy II) the failed unit is replaced by a spare unit as many times as needed until T ; (Policy III) the failed unit is replaced by a new one. In all these three policies, the policy decision variables are T0 and T . Clearly, if T0 T , Policies I, II, and II all become the ‘‘periodic replacement with minimal repair at failure’’ policy. If T0 0, Policy III becomes the block replacement policy. Nakagawa (1980) also makes an expansion to the block replacement policy. In his policy, a unit is replaced at times kT ðk 1⁄4 1; 2; . . .Þ independent of the age of the unit. A failed unit remains failed until the next planned replacement. Another variant of the ‘‘periodic replacement policy with minimal repair’’ policy is also due to Nakagawa (1986), in which the replacement is scheduled at periodic times kT ðk 1⁄4 1; 2; . . .Þ and failure is removed by minimal repair. If the total number of failures is equal to or greater than a specified number n, the replacement should be done at the next scheduled time; otherwise, no maintenance should be done. The decision variable is n and T. In this policy, if n 1⁄4 1, this policy becomes the ‘‘periodic replacement with minimal repair at failure’’ policy. Chun (1992) studies determination of the optimal number of periodic PM’s under a finite planning horizon. Dagpunar and Jack (1994) determine the optimal number of imperfect PMs H. Wang / European Journal of Operational Research 139 (2002) 469–489 473...

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  • ...Þ and failures are removed by minimal repair (Barlow and Hunter, 1960, Policy II). As the concepts of minimal repair and especially imperfect maintenance (Pham and Wang, 1996) became more and more established, various extensions and variations of these two policies were proposed. One expansion of the ‘‘periodic replacement with minimal repair at failure’’ policy is the one where a unit receives imperfect PM every T time unit, intervening failures are subject to minimal repairs, and it is replaced after its age has reached ðOþ 1ÞT time units, where O is the number of imperfect PMs which have been done (Liu et al., 1995). O 1⁄4 0 is allowed in this policy, which means the unit will be replaced whenever it has operated for T time units and there will be no imperfect PM for it. The policy decision variables are O and T. Obviously, if O 1⁄4 0, this policy becomes the ‘‘periodic replacement with minimal repair at failure’’ policy. Berg and Epstein (1976) have modified the block replacement policy by setting an age limit. Under this modified policy, a failed unit is replaced by a new one; however, units whose ages are less than or equal to t0 ð06 t0 6 T Þ at the scheduled replacement times kT ðk 1⁄4 1; 2; . . .Þ are not replaced, but remain working until failure or the next scheduled replacement time point. Obviously, if t0 1⁄4 T , it reduces to the block replacement policy. This modified block replacement policy was shown to be superior to the block replacement policy in terms of the long-run maintenance cost rate. Tango (1978) suggests that some failed units be replaced by used ones, which have been collected before the scheduled replacement times. Under this extended block replacement policy, units are replaced by new ones at periodic times kT ðk 1⁄4 1; 2; . . .Þ. The failed units are, however, replaced by either new ones or used ones based on their individual ages at the times of failures. A time limit r is set in this policy, similar to t0 in Berg and Epstein (1976). Under this policy, if a failed unit’ age is less than or equal to a predetermined time limit r, it is replaced by a new one; otherwise, it is replaced by a used one. This policy is different from Berg and Epstein’s because it modifies the ordinary block replacement policy by considering rules on the failed units rather than on the working ones (cf. Berg and Epstein, 1976). Obviously, if r 1⁄4 T , this policy becomes the block replacement policy. Nakagawa (1981a,b) presents three modifications to the ‘‘periodic replacement with minimal repair at failure’’ policy. The modifications give alternatives that emphasize practical considerations. The three policies all establish a reference time T0 and periodic time T . If failure occurs before T0, then minimal repair occurs. If the unit is operating at time T , then replacement occurs at time T . If failure occurs between T0 and T , then: (Policy I) the unit is not repaired and remains failed until T ; (Policy II) the failed unit is replaced by a spare unit as many times as needed until T ; (Policy III) the failed unit is replaced by a new one. In all these three policies, the policy decision variables are T0 and T . Clearly, if T0 T , Policies I, II, and II all become the ‘‘periodic replacement with minimal repair at failure’’ policy. If T0 0, Policy III becomes the block replacement policy. Nakagawa (1980) also makes an expansion to the block replacement policy. In his policy, a unit is replaced at times kT ðk 1⁄4 1; 2; . . .Þ independent of the age of the unit. A failed unit remains failed until the next planned replacement. Another variant of the ‘‘periodic replacement policy with minimal repair’’ policy is also due to Nakagawa (1986), in which the replacement is scheduled at periodic times kT ðk 1⁄4 1; 2; . . .Þ and failure is removed by minimal repair. If the total number of failures is equal to or greater than a specified number n, the replacement should be done at the next scheduled time; otherwise, no maintenance should be done. The decision variable is n and T. In this policy, if n 1⁄4 1, this policy becomes the ‘‘periodic replacement with minimal repair at failure’’ policy. Chun (1992) studies determination of the optimal number of periodic PM’s under a finite planning horizon. Dagpunar and Jack (1994) determine the optimal number of imperfect PMs H....

    [...]

  • ...Under this policy, a unit is always replaced at its age T or failure, whichever occurs first, where T is a constant (Barlow and Hunter, 1960)....

    [...]

  • ...Þ and failures are removed by minimal repair (Barlow and Hunter, 1960, Policy II). As the concepts of minimal repair and especially imperfect maintenance (Pham and Wang, 1996) became more and more established, various extensions and variations of these two policies were proposed. One expansion of the ‘‘periodic replacement with minimal repair at failure’’ policy is the one where a unit receives imperfect PM every T time unit, intervening failures are subject to minimal repairs, and it is replaced after its age has reached ðOþ 1ÞT time units, where O is the number of imperfect PMs which have been done (Liu et al., 1995). O 1⁄4 0 is allowed in this policy, which means the unit will be replaced whenever it has operated for T time units and there will be no imperfect PM for it. The policy decision variables are O and T. Obviously, if O 1⁄4 0, this policy becomes the ‘‘periodic replacement with minimal repair at failure’’ policy. Berg and Epstein (1976) have modified the block replacement policy by setting an age limit. Under this modified policy, a failed unit is replaced by a new one; however, units whose ages are less than or equal to t0 ð06 t0 6 T Þ at the scheduled replacement times kT ðk 1⁄4 1; 2; . . .Þ are not replaced, but remain working until failure or the next scheduled replacement time point. Obviously, if t0 1⁄4 T , it reduces to the block replacement policy. This modified block replacement policy was shown to be superior to the block replacement policy in terms of the long-run maintenance cost rate. Tango (1978) suggests that some failed units be replaced by used ones, which have been collected before the scheduled replacement times....

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Journal ArticleDOI
TL;DR: This article includes optimization models for repair, replacement, and inspection of systems subject to stochastic deterioration and a classification scheme is used that categorizes recent research into inspection models, minimal repair models, shock models, or miscellaneous replacement models.
Abstract: A survey of the research done on preventive maintenance is presented. The scope of the present survey is on the research published after the 1976 paper by Pierskalla and Voelker [98]. This article includes optimization models for repair, replacement, and inspection of systems subject to stochastic deterioration. A classification scheme is used that categorizes recent research into inspection models, minimal repair models, shock models, or miscellaneous replacement models.

768 citations

Journal ArticleDOI
TL;DR: It can be concluded that the application of the CBM technique is more realistic, and thus more worthwhile to apply, than the TBM one, however, further research on CBM must be carried out in order to make it more realistic for making maintenance decisions.

729 citations

Journal ArticleDOI
TL;DR: The literature on maintenance models is surveyed and includes models which involve an optimal decision to procure, inspect, and repair and/or replace a unit subject to deterioration in service.
Abstract: The literature on maintenance models is surveyed. The focus is on work appearing since the 1965 survey "Maintenance Policies for Stochastically Failing Equipment: A Survey" by John McCall and the 1965 book", "The Mathematical Theory of Reliability", by Richard Barlow and Frank Proschan. The survey includes models which involve an optimal decision to procure, inspect, and repair and/or replace a unit subject to deterioration in service.

709 citations

Journal ArticleDOI
TL;DR: A survey of scheduling policies for stochastically failing equipment is given in this paper, where the authors identify a common structure and clarify the relationships existing among the various maintenance policies, and identify both the boundary separating scheduling problems that have been solved from interesting scheduling problems awaiting solution.
Abstract: This paper is a survey of scheduling policies for stochastically failing equipment. The development of these policies has relied on a variety of mathematical techniques. This reliance together with the diversity of the applications has sometimes obscured the underlying structure that is common to all these policies. The primary purpose of this survey is to identify this common structure and thereby clarify the relationships existing among the various maintenance policies. With this clarification in mind, it is hoped that the survey will provide a convenient introduction to the problems of scheduling maintenance for equipment subject to stochastic failure. The second purpose of the paper is to identify both the boundary separating scheduling problems that have been solved from interesting scheduling problems awaiting solution and the boundary separating theoretical solutions already available from applications of these solutions to practical problems. The progress of future theoretical and applied research...

484 citations

References
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Journal ArticleDOI
TL;DR: In this paper, the reliability of an electronic system operating in time is defined in terms of a suitable stochastic process, which enables the use of powerful probabilistic techniques which have been developed in recent years.
Abstract: This paper presents a method for determining the reliability of large, complex systems. Repair is an integral part of the model proposed and the usual assumption of component independence need not be made. Recognizing the stochastic nature of an electronic system operating in time, the reliability of any system is defined in terms of a suitable stochastic process. This enables the use of powerful probabilistic techniques which have been developed in recent years. In particular, the theory of Markov processes can be readily applied. Given component repair and failure parameters, the reliability of the system at any specified time as well as the limiting reliability can easily be obtained. If the reliability requirement for the system is given, it is a routine matter to determine permissible values for the mean time to repair and the mean time to failure of each component.

22 citations