2001
DOI: 10.1111/1475-3995.00269
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Warranty Cost Analysis With Heterogenous Usage Intensity

Abstract: Models for cost analysis of one-dimensional warranty policies assume that the usage intensity (or rate) is the same for all users. In real life the usage intensity varies across the population of users. This paper deals with some simple models to study the expected warranty cost for products sold with free replacement warranty with varying usage intensity.

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Cited by 21 publications
(9 citation statements)
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“…To understand the influence of overloading on the overall network reliability, its influence on the component reliability should be understood first. For this purpose, we employ the model proposed by Kim et al to describe the load‐failure relationship of each edge, with its baseline load equal to its designed capacity. If an edge's flow l e is less than or equal to its designed capacity q e ( e ∈ E ), the scale parameter θ e of its failure time distribution remains fixed as θe0.…”
Section: Overloading Influence On Network Reliabilitymentioning
confidence: 99%
See 1 more Smart Citation
“…To understand the influence of overloading on the overall network reliability, its influence on the component reliability should be understood first. For this purpose, we employ the model proposed by Kim et al to describe the load‐failure relationship of each edge, with its baseline load equal to its designed capacity. If an edge's flow l e is less than or equal to its designed capacity q e ( e ∈ E ), the scale parameter θ e of its failure time distribution remains fixed as θe0.…”
Section: Overloading Influence On Network Reliabilitymentioning
confidence: 99%
“…Apparently, a lower value of γ e implies less influence of overloading on component reliability. Note that although we utilize the model proposed by Kim et al, other models describing the load‐failure relationship of component such as PHM and AFTM can also be employed in the proposed approach.…”
Section: Overloading Influence On Network Reliabilitymentioning
confidence: 99%
“…Ja, Kulkarni, Mitra & Patankar (2001) consideran el problema de la estimación de los costos y de las reservas de garantía durante el ciclo de vida de un producto reparado mínimamente y bajo una política de garantía sin renovación, en la cual los costos de los reparos dependen de la edad del producto, e indican cómo usar la información de los costos de garantía para determinar el período de garantía; Kim, Djamaludin & Murthy (2001) estudian modelos para el análisis del costo esperado de garantía bajo una política FRW para productos con intensidad o tasa de falla dependiente del uso; Bai & Pham (2004) discuten el problema de la estimación y la predicción de los costos de garantía descontados, usando políticas FRW y PRW, para sistemas en serie reparados mínimamente, y aplican sus resultados en la determinación del período de garantía y de las reservas para el servicio usando el Teorema de Límite Central. Chien (2005) considera el problema de la determinación del períodoóptimo de garantía y de la edad de sustitución del producto después del vencimiento de la garantía, según las perspectivas del vendedor y del comprador, respectivamente, que minimizan las funciones de costos correspondientes, considerando el modelo denominado de falla general.…”
Section: Períodoóptimo De Garantíaunclassified
“…Stefanka and Hayakawa [7] evaluated the warranty costs over the warranty period under non-renewing free replacement policy over the life cycle of the product. Kim and Murthy [8] studied the expected warranty cost for products sold with free replacement warranty with varying usage intensity. Chattopadhyay and Murthy [9] developed probabilistic models to compute the expected warranty cost to the manufacturer when the items are sold with free replacement or pro-rata warranties.…”
Section: H M Tengmentioning
confidence: 99%