Application of Prospect Theory in the Context of Predictive Maintenance Optimization Based on Risk Assessment

Autor: Rim Louhichi, Jacques Pelletan, Mohamed Sallak

Publikováno v: Applied Sciences, Vol 12, Iss 22, p 11748 (2022)

The optimization of predictive maintenance relies mainly on the reduction of costs and risks, which can be of various types. The evaluation of risks cannot be realized independently of the psychology state and cognitive knowledge of the decision make

Externí odkaz: https://doaj.org/article/3ed46e37dfc648ed9e930ac161975618

A Maintenance Cost Optimization Approach: Application on a Mechanical Bearing System

Autor: Rim Louhichi, Jacques Pelletan, Mohamed Sallak

Publikováno v: International Journal of Mechanical Engineering and Robotics Research
International Journal of Mechanical Engineering and Robotics Research, Dr. Bao Yang, 2020, 9 (5), pp.658-664. ⟨10.18178/ijmerr.9.5.658-664⟩

International audience; In order to remain highly competitive, industrial companies found their business strategies on the quality and the cost of the product/service they deliver to their clients. Therefore, it is crucial for them to guarantee the a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0ec078d65e0106ff6c1b55a8223d5bd
https://doi.org/10.18178/ijmerr.9.5.658-664

A Study of the Impact of Predictive Maintenance Parameters on the Improvment of System Monitoring

Autor: Rim Louhichi, Mohamed Sallak, Jacques Pelletan

Publikováno v: HAL
Mathematics; Volume 10; Issue 13; Pages: 2153

Predictive maintenance can be efficiently improved by studying the sensitivity of the maintenance decisions with respect to changes in the proposed model parameters (costs, duration of reparation, etc.). To address this issue, we first propose an ori

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d966e631502b5459a3e57dc5059196f5
https://hal.archives-ouvertes.fr/hal-03712490