Szczegóły publikacji
Opis bibliograficzny
Predictive maintenance model with dependent stochastic degradation function components / Janusz SZPYTKO, Yorlandys SALGADO DUARTE // W: On the move to meaningful internet systems : OTM 2019 workshops : confederated international workshops: EI2N, FBM, ICSP, Meta4eS, and SIAnA 2019 : Rhodes, Greece, October 21–25, 2019 : revised selected papers / eds. Christophe Debruyne, [et al.]. — Cham : Springer Nature Switzerland AG, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 11878. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-40906-7; e-ISBN: 978-3-030-40907-4. — S. 54–64. — Bibliogr. — Publikacja dostępna online od: 2020-03-16
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 127503 |
|---|---|
| Data dodania do BaDAP | 2020-02-11 |
| DOI | 10.1007/978-3-030-40907-4_6 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
The paper presents an Integrated Maintenance Decision Making Model (IMDMM) concept for cranes under operation with dependent stochastic function into the container type terminals. The target is to improve cranes operational efficiency through minimizing the risk of the Gantry Cranes Inefficiency (GCI) results based on implementation of copula approach model for stochastic degradation function dependency between cranes. In the present study, we investigate the influence of dependent stochastic degradation of multiple cranes on the optimal maintenance decisions. We use copula to model the dependent stochastic degradation of components and we formulate the optimal decision problem based on the minimum GCI expected. We illustrate the developed probabilistic analysis approach and the influence of the dependency of the stochastic degradation on the preferred decisions through numerical examples, and we discuss the close relationship of this approach with interoperability concepts. The crane operation risk is estimated with a sequential Monte Carlo Markov Chain (MCMC) simulation model and the optimization model behind of IMDMM is supported through the Particle Swarm Optimization (PSO) algorithms.
