Periodical replacement problem without assuming minimal repair

Kijima, Masaaki; Morimura, Hidenori; Suzuki, Yasusuke

doi:10.1016/0377-2217(88)90329-3

Cited by 326 publications

(182 citation statements)

References 7 publications

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“…Here, the effect of PM results in a restoration of the item so that the item's virtual remaining life is effectively increased. The concept of virtual age is introduced in Kijima et al 1988; and then extended in Kijima (1989). In this study, the jth PM only reimburses the damage accrued during the time between the (j -1)th and the jth PM activities, as a result an arithmetic reduction of virtual remaining life can be obtain (Martorell et al 1999).…”

Section: Assumptionsmentioning

confidence: 99%

Money-back guarantee warranty policy with preventive maintenance strategy for sensor-embedded remanufactured products

Alqahtani

Gupta

2018

J Ind Eng Int

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In today's global environment, technology is constantly evolving. Being able to stay up-to-date with the very latest technological advances can be extremely hard to accomplish. As a result of these changes and developments in technology, which often come unexpectedly, consumers are frequently tempted to update their devices to the very latest model. The result is that the life cycle of a product is becoming shorter and shorter than before. Manufacturers attempt to respond to consumers' concerns involving environmental issues as well as the more governmentally stringent environmental legislations by establishing facilities which include the minimization of the totality of waste relocated to landfills by recovering materials and components from returned, or End-Of-Life products and reuse them to build a remanufactured product, and/ or novel components. With the rapid growth of interest in remanufactured products' market, offering warranty for remanufactured products and components is becoming a necessity for remanufacturer in order to meet customers' requirement and as a marketing mechanism. During that process, maintenance policies are of great importance in order to reduce the warranty cost on the remanufacturer. In this paper, an optimization simulation model for remanufactured items sold with one-dimensional non-renewing money-back guarantee (MBG) warranty policy is proposed from the view of remanufacturer, in which, an End-Of-Life product is subjected to upgrade action at the end of its past life and during the warranty period, preventive maintenance actions are carried out when the remaining life of the product reaches a prespecified value so that the remanufacturer's expected profit can be maximized. Finally, a numerical example and design of experiment analysis are provided to demonstrate the proposed approach.

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Section: Assumptionsmentioning

confidence: 99%

Money-back guarantee warranty policy with preventive maintenance strategy for sensor-embedded remanufactured products

Alqahtani

Gupta

2018

J Ind Eng Int

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“…The authors in Pham and Wang (1996) and Wang (2002) provided a review of early existing imperfect maintenance models. Among these models are the age reduction model of Malik Malik (1979), the adjustment coefficient model of Nakagawa Nakagawa (1988), Nakagawa and Mizutani (2009) where the hazard rate is increased after each maintenance action, the hybrid hazard rate model of Lin, Zuo, and Yam (2000) which is later used in Lin, Zuo, and Yam (2001), El-Ferik and Ben-Daya (2006), Khatab (2015), Sheu and Chang (2009), the quasi-renewal process model (Park and Pham 2010;Wang and Pham 1999, the geometric process model (Lam 1988), and the Kijima's model based on the generalised renewal process (Kijima, Murimura, and Suzuki 1988;Kijima 1989). More details on models and methodologies available to deal with imperfect maintenance can be found in Nakagawa (2008) and Wang and Pham (2006).…”

Section: Imperfect Maintenance Model Cost and Duration Functionsmentioning

confidence: 99%

Selective maintenance optimisation for series-parallel systems alternating missions and scheduled breaks with stochastic durations

Khatab¹,

Aghezzaf

Diallo

et al. 2017

International Journal of Production Research

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This paper deals with the selective maintenance problem for a multi-component system performing consecutive missions separated by scheduled breaks. To increase the probability of successfully completing its next mission, the system components are maintained during the break. A list of potential imperfect maintenance actions on each component, ranging from minimal repair to replacement is available. The general hybrid hazard rate approach is used to model the reliability improvement of the system components. Durations of the maintenance actions, the mission and the breaks are stochastic with known probability distributions. The resulting optimisation problem is modelled as a non-linear stochastic programme. Its objective is to determine a cost-optimal subset of maintenance actions to be performed on the components given the limited stochastic duration of the break and the minimum system reliability level required to complete the next mission. The fundamental concepts and relevant parameters of this decision-making problem are developed and discussed. Numerical experiments are provided to demonstrate the added value of solving this selective maintenance problem as a stochastic optimisation programme.

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“…Here, the effect of PM results in a restoration of the item so that the item's virtual remaining life is effectively increased. The concept of virtual age is introduced in [73], and then extended in [74]. In this study, the jth PM only reimburses the damage accrued during the time between the (j − 1)th and the jth PM activities, as a result an arithmetic reduction of virtual remaining life can be obtained [75].…”

Section: Preventive Maintenance Analysismentioning

confidence: 99%

One-Dimensional Renewable Warranty Management within Sustainable Supply Chain

Alqahtani

Gupta

2017

Resources

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Sensor embedded products utilize sensors implanted into products during their production process. Sensors are useful in predicting the best warranty policy and warranty period to offer a customer for remanufactured components and products. The conditions and remaining lives of components and products can be estimated prior to offering a warranty based on the data provided by the sensors. This helps reduce the number of claims during warranty periods, determines the right preventive maintenance (PM) policy, and eliminates unnecessary costs inflicted on the remanufacturer. The renewing, one-dimensional Free Replacement Warranty (FRW), Pro-Rata Warranty (PRW), and combination FRW/PRW policies' costs for remanufactured products and components were evaluated with/without offering PM for different periods in this paper. To that end, the effect of offering renewable, one-dimensional, Free Replacement Warranty (FRW), or Pro-Rata Warranty (PRW), or combination FRW/PRW warranty policies for each disassembled component and sensor embedded remanufactured product was examined, and the impact of sensor embedded products on warranty costs was assessed. A case study and varying simulation scenarios is examined and presented to illustrate the model's applicability.

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Periodical replacement problem without assuming minimal repair

Cited by 326 publications

References 7 publications

Money-back guarantee warranty policy with preventive maintenance strategy for sensor-embedded remanufactured products

Money-back guarantee warranty policy with preventive maintenance strategy for sensor-embedded remanufactured products

Selective maintenance optimisation for series-parallel systems alternating missions and scheduled breaks with stochastic durations

One-Dimensional Renewable Warranty Management within Sustainable Supply Chain

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