Kernel estimator of maintenance optimization model for a stochastically degrading system under different operating environments

Sidibé, I. B.; Khatab, Abdelhakim; Diallo, Claver; Adjallah, Kondo H.

doi:10.1016/j.ress.2015.11.001

Cited by 14 publications

(9 citation statements)

References 23 publications

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“…Bunea & Bedford (2002) consider model uncertainty in settings with multiple competing risks, and show that the error that is made when optimizing costs using the wrong model can be substantial. Sidibé, Khatab, Diallo & Adjallah (2016) consider different operating environments and assume that the lifetime distribution depends on the environment. The lifetime distributions are unknown and estimated using kernel estimators, and an age-based maintenance policy is adapted.…”

Section: Replacementsmentioning

confidence: 99%

A review on maintenance optimization

Jonge¹,

Scarf

2020

European Journal of Operational Research

355

115

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To this day, continuous developments of technical systems and increasing reliance on equipment have resulted in a growing importance of effective maintenance activities. During the last couple of decades, a substantial amount of research has been carried out on this topic. In this study we review more than two hundred papers on maintenance modeling and optimization that have appeared in the period 2001 to 2018. We begin by describing terms commonly used in the modeling process. Then, in our classification, we first distinguish single-unit and multi-unit systems. Further sub-classification follows, based on the state space of the deterioration process modeled. Other features that we discuss in this review are discrete and continuous condition monitoring, inspection, replacement, repair, and the various types of dependencies that may exist between units within systems. We end with the main developments during the review period and with potential future research directions.

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Section: Replacementsmentioning

confidence: 99%

A review on maintenance optimization

Jonge¹,

Scarf

2020

European Journal of Operational Research

355

115

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“…This paper specifies that sound decision-making on product warranties and maintenance strategies is one of the possible ways to reduce the warranty servicing cost. Sidibe et al (2015a) investigated the preventive age replacement policy for a SHP subject to random failures in a more severe operating environment for its second lifetime. Furthermore, the system lifetimes distribution is assumed unknown and therefore estimated from field reliability data.…”

Section: Maintenance Modelsmentioning

confidence: 99%

State of the art review of quality, reliability and maintenance issues in closed-loop supply chains with remanufacturing

Diallo

Venkatadri

Khatab

et al. 2016

International Journal of Production Research

116

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The design of reverse logistics and remanufacturing processes and the recovery of end-of-life products have been well-studied in the literature. Quality, reliability, maintenance and warranty for recovered products and the remanufacturing activities that extend their life are integral issues in reverse logistics. This paper reviews recent and relevant literature on these issues in closed-loop supply chains, with a focus on remanufactured or second-hand products. The published literature is first classified into domain areas of research and practice. The wide array of mathematical tools and techniques used in the literature are then identified and mapped. Finally, the findings are summarised and the main research gaps are highlighted.

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“…In their proposed models, they also considered constantly scheduled and random mean time scheduled policies. Sidibé et al 48 investigated the preventive age replacement policy for a system that is used under various operating environments with different degrees of severity. Park et al 49 presented a warranty cost model for repairable products when an age‐based replacement policy is adopted in conjunction with the renewal of a minimal repair‐replacement warranty.…”

Section: An Overview Of Classical Optimal Pm Modelsmentioning

confidence: 99%

An overview of some classical models and discussion of the signature‐based models of preventive maintenance

Asadi

Hashemi

2022

Appl Stoch Models Bus & Ind

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In reliability engineering literature, a large number of research papers on optimal preventive maintenance (PM) of technical systems (networks) have appeared based on preliminary many different approaches. According to the existing literature on PM strategies, the authors have considered two scenarios for the component failures of the system. The first scenario assumes that the components of the system fail due to aging, while the second scenario assumes the system fails according to the fatal shocks arriving at the system from external or internal sources. This article reviews different approaches on the optimal strategies proposed in the literature on the optimal maintenance of multi‐component coherent systems. The emphasis of the article is on PM models given in the literature whose optimization criteria (cost function and stationary availability) are developed by using the signature‐based (survival signature‐based) reliability of the system lifetime. The notions of signature and survival signature, defined for systems consisting of one type or multiple types of components, respectively, are powerful tools assessing the reliability and stochastic properties of coherent systems. After giving an overview of the research works on age‐based PM models of one‐unit systems and k‐out‐of‐n systems, we provide a more detailed review of recent results on the signature‐based and survival signature‐based PM models of complex systems. In order to illustrate the theoretical results on different proposed PM models, we examine two real examples of coherent systems both numerically and graphically.

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Kernel estimator of maintenance optimization model for a stochastically degrading system under different operating environments

Cited by 14 publications

References 23 publications

A review on maintenance optimization

A review on maintenance optimization

State of the art review of quality, reliability and maintenance issues in closed-loop supply chains with remanufacturing

An overview of some classical models and discussion of the signature‐based models of preventive maintenance

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