Analysis of extended warranties for medical equipment: A Stackelberg game model using priority queues

Moura, Márcio das Chagas; Santana, João Mateus; Droguett, Enrique López; Lins, Isis Didier; Guedes, Bruno Nunes

doi:10.1016/j.ress.2017.05.040

Cited by 19 publications

(9 citation statements)

References 34 publications

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“…Then, they are fairly influenced by the repair assumption. For instance, by considering imperfect repair ( 0 1 q ≤≤ ), it is expected that devices with the same shape β 1 β > and scale α 0 α > fail less frequently than in the context presented by Moura et al [23], who considered minimal repairs. Thus, the change in repair hypothesis can modify the expected payoffs, and consequently a change of strategies.…”

Section: Hospital's Optimal Strategymentioning

confidence: 99%

“…Quantitative studies about warranty, maintenance outsourcing and maintenance contracts are present by Kim et al [18], Bouguerra et al [3], Husniah et al [14], Huang et al [13], Moura et al [23] and Darghouth et al [6]. However, such studies have simplifying assumptions with respect to the state of the system after a corrective maintenance (CM) intervention.…”

Section: Science and Technologymentioning

confidence: 99%

“…Esmaeili et al [8] considered a three-level service contract between a manufacturer, a customer and an independent third agent. Moura et al [23] used priority queues to analyze the interaction among OEM and two priority classes of hospitals. All aforementioned models intend to maximize the clients' expected utility, considering parameters like risk aversion, revenue generated by the system, maintenance costs and times to repair.…”

Section: Stackelberg Gamementioning

confidence: 99%

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Extended warranty of medical equipment subject to imperfect repairs: an approach based on generalized renewal process and Stackelberg game

Santana

Santiago

Moura

et al. 2018

Eksploatacja i Niezawodność – Maintenance and Reliability

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Article citation info: instance, it is estimated that an amount of US$ 24.83 billion will be annually spent in the medical equipment maintenance market by 2022 [20]. However, maintenance outsourcing for medical equipment is yet to be fully explored by current research (Cruz & Rincon [5]).Warranty policies define responsibilities for both parties: the OEM and hospital managers. Indeed, the OEM is responsible for repairing the devices' eventual failures related to problems of equipment design, manufacturing and/or quality. The customers in turn should make proper use of equipment, i.e., they must comply to the specifications defined by the OEM (Rahman & Chattopadhyay [32]).Given that, a new trend has been intensified by manufacturers, selling an additional, optional coverage, which begins after the expiration of the base warranty, called Extended Warranty (EW) (Murthy

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Section: Hospital's Optimal Strategymentioning

confidence: 99%

Section: Science and Technologymentioning

confidence: 99%

Section: Stackelberg Gamementioning

confidence: 99%

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Extended warranty of medical equipment subject to imperfect repairs: an approach based on generalized renewal process and Stackelberg game

Santana

Santiago

Moura

et al. 2018

Eksploatacja i Niezawodność – Maintenance and Reliability

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“…With help of a contrast agent, doctors can visualize blood vessels and blood flow [38,39]. The times between failures (in days) of the considered angiograph are in Table 1 (to be read across the row).…”

Section: Data Set #1: Angiographmentioning

confidence: 99%

Combining Generalized Renewal Processes with Non-Extensive Entropy-Based q-Distributions for Reliability Applications

Lins

Moura

Droguett

et al. 2018

Entropy

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Abstract:The Generalized Renewal Process (GRP) is a probabilistic model for repairable systems that can represent the usual states of a system after a repair: as new, as old, or in a condition between new and old. It is often coupled with the Weibull distribution, widely used in the reliability context. In this paper, we develop novel GRP models based on probability distributions that stem from the Tsallis' non-extensive entropy, namely the q-Exponential and the q-Weibull distributions. The q-Exponential and Weibull distributions can model decreasing, constant or increasing failure intensity functions. However, the power law behavior of the q-Exponential probability density function for specific parameter values is an advantage over the Weibull distribution when adjusting data containing extreme values. The q-Weibull probability distribution, in turn, can also fit data with bathtub-shaped or unimodal failure intensities in addition to the behaviors already mentioned. Therefore, the q-Exponential-GRP is an alternative for the Weibull-GRP model and the q-Weibull-GRP generalizes both. The method of maximum likelihood is used for their parameters' estimation by means of a particle swarm optimization algorithm, and Monte Carlo simulations are performed for the sake of validation. The proposed models and algorithms are applied to examples involving reliability-related data of complex systems and the obtained results suggest GRP plus q-distributions are promising techniques for the analyses of repairable systems.

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“…As preventive maintenance can prolong product life, reduce warranty cost and retain consumer loyalty, [8]proposed a customised 2D extended warranty strategy for consumers with different usage rate. Some studies have also focused on supply chain coordination issues related to extended warranty (Mai et al 2017[15]; Moura et al 2017 [16]; Qin et al 2017 [21]).…”

Section: Introductionmentioning

confidence: 99%

Design of differentiated warranty coverage that considers usage rate and service option of consumers under 2D warranty policy

Tong¹,

Ma²

2021

JIMO

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Warranty service providers usually provide homogeneous warranty service to improve consumer satisfaction and market share. Considering the difference of consumers, some scholars have carried out studies on maintenance strategies, service pricing, payment method, claim behaviour and warranty cost analysis in recent years. However, few scholars have focused on the differentiated coverage of warranty service that considers usage rate and service option of consumers. On the basis of previous classification criteria on usage rate, this paper divides consumers into heavy, medium and light usage rate groups with clear boundaries. To avoid discrimination in warranty service, this study divides 2D warranty coverage into disjoint sub-regions and adopts different maintenance modes in each sub-region. By formulating and calculating warranty cost model under warranty cost constraints, we can obtain the maximum warranty coverage under usage rate r. Therefore, differentiated warranty scope for consumers in the three groups can be proposed, whilst consumers can choose the most suitable warranty service according to their usage rate. Evidently, the proposed warranty strategy can provide flexible warranty service for consumers, meet the requirements of the warranty cost constraints of warranty service providers and enable enterprises to occupy a favourable position in the market competition.2010 Mathematics Subject Classification. Primary: 90B50; Secondary: 90B25.

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Analysis of extended warranties for medical equipment: A Stackelberg game model using priority queues

Cited by 19 publications

References 34 publications

Extended warranty of medical equipment subject to imperfect repairs: an approach based on generalized renewal process and Stackelberg game

Extended warranty of medical equipment subject to imperfect repairs: an approach based on generalized renewal process and Stackelberg game

Combining Generalized Renewal Processes with Non-Extensive Entropy-Based q-Distributions for Reliability Applications

Design of differentiated warranty coverage that considers usage rate and service option of consumers under 2D warranty policy

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