1967
DOI: 10.2307/3007524
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An Economic Replacement Model

Abstract: The corresponding characteristic quantities for the economic lifetime-method are Numerical exaniple: Let be C = GYOO, B = 626 and a + b Figure 1 shows the per cent gain 2If u is sufficiently large this gain exceeds 25%! For the same average repair cost development and replacement cost as in this exaniple the application of optimum repair limit8 for each repair instead of using the economic lifetime leads to cost savings coming t o 6% [ 2 , 3 ] . &,-c Fig. 1. Cornparision of effectivity of repair limit replacem… Show more

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Cited by 20 publications
(20 citation statements)
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“…Sincep as given by (30) does not depend on time, formula (14) can be applied for computing the corresponding maintenance cost rate KIo(c). But an important peculiarity of the repair cost limit model has to be taken into account: The mean repair cost c, for removing a type 1 failure depends now on c and, hence, on p:…”
Section: R(x) =mentioning
confidence: 99%
“…Sincep as given by (30) does not depend on time, formula (14) can be applied for computing the corresponding maintenance cost rate KIo(c). But an important peculiarity of the repair cost limit model has to be taken into account: The mean repair cost c, for removing a type 1 failure depends now on c and, hence, on p:…”
Section: R(x) =mentioning
confidence: 99%
“…We also give an upper limit of an optimum préventive maintenance time /*. An alternative technique of préventive maintenance of the system is the repair limit policies of a failed unit discussed by Hastings et ai [5,7,8], and Nakagawa and Osaki [11]. A failed unit is replaced if the repair is not completed within a repair limit time t 0 .…”
Section: Introductionmentioning
confidence: 99%
“…This paper concerns a repair-time limit replacement model. The repair-limit replacement problems are considered by Drinkwater and Hastings (1967). Hastings (1968Hastings ( , 1969Hastings ( , 1970, Lambe (1974) and White (1989) formulate the repair limit replacement problems by applying the dynamic programming.…”
Section: Introductionmentioning
confidence: 99%