Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in Reliability and Maintainability Methods and Engineering Applications [[electronic resource] ] : Essays in Honor of Professor Hong-Zhong Huang on his 60th Birthday / / edited by Yu Liu, Dong Wang, Jinhua Mi, He Li
| Advances in Reliability and Maintainability Methods and Engineering Applications [[electronic resource] ] : Essays in Honor of Professor Hong-Zhong Huang on his 60th Birthday / / edited by Yu Liu, Dong Wang, Jinhua Mi, He Li |
| Autore | Liu Yu |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (642 pages) |
| Disciplina | 623.8 |
| Altri autori (Persone) |
WangDong
MiJinhua LiHe |
| Collana | Springer Series in Reliability Engineering |
| Soggetto topico |
Marine engineering
Engineering design Vehicles Industrial engineering Production engineering Computer science Mathematical optimization Marine Engineering Engineering Design Vehicle Engineering Industrial and Production Engineering Computer Science Optimization |
| Soggetto non controllato |
Industrial Engineering
Computer Science Mechanical Engineering Technology & Engineering Computers |
| ISBN | 3-031-28859-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multi-Criteria based Selection of Ship-Based Ballast Water Treatment Technologies -- A Two-Phase Sampling Approach for Reliability-based Optimization in Structural Engineering -- Moment Estimation-Based Method of Motion Accuracy Reliability Analysis for Industrial Robots -- Reliability of Wireless Body Area Networks -- Sensitivity Estimation of Markov Reward Models and Its Applications to Component Importance Analysis -- Failure Rate Modeling of Mechanical Components and Systems -- Statistical Reliability Modeling and Analysis for Repairable Systems with Bathtub-Shaped Intensity Function -- Multi-state Signatures for Multi-State Systems with Binary/Multi-State Components -- Comprehensive Reliability of Aircraft Actuation System -- Integration of Reliability Design, Installed Base, and After-Sales Services for System Availability -- Use of Artificial Neural Networks to Enhance Container Port Safety Analysis under Uncertainty -- Usage of Failure Time and Repair Time for Optimization of Maintenance and Warranty Policy and Lemon Law Application -- Reliability and opportunistic maintenance of floating offshore wind turbines -- A Summary of Inspection Policies of One Shot Systems -- Analysis for influence of maintenance and manufacturing quality on reliability of repairable systems -- Quantification of Uncertainty of Warranty Claims -- Manufacturing paradigm-oriented PHM methodologies for cyber-physical systems -- Degradation modeling and residual life prediction based on nonlinear Wiener process -- System reliability models with dependent degradation processes -- A Study of Health State Transitions for Proactive Health Management -- Kalman filter-based systems approach for prognostics and health management of electric motors -- Exploratory Fault Detection with Multivariate Data: A case study on engine bearing -- Novel approach to Prognostics and Health Management to combine reliability and process optimisation. |
| Record Nr. | UNINA-9910728947103321 |
Liu Yu
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Operational Research in Business and Industries [[electronic resource] ] : Proceedings of 54th Annual Conference of ORSI / / edited by Angappa Gunasekaran, Jai Kishore Sharma, Samarjit Kar
| Applications of Operational Research in Business and Industries [[electronic resource] ] : Proceedings of 54th Annual Conference of ORSI / / edited by Angappa Gunasekaran, Jai Kishore Sharma, Samarjit Kar |
| Autore | Gunasekaran Angappa |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (512 pages) |
| Disciplina | 658.4034 |
| Altri autori (Persone) |
SharmaJai Kishore
KarSamarjit |
| Collana | Lecture Notes in Operations Research |
| Soggetto topico |
Operations research
Mathematical optimization Big data Machine learning Artificial intelligence—Data processing Operations Research and Decision Theory Optimization Big Data Machine Learning Data Science |
| Soggetto non controllato |
Technology
Technology & Engineering |
| ISBN |
9789811980121
9789811980114 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Optimization of an inventory model with demand dependent on selling price and stock, nonlinear holding cost along with trade credit policy -- Chapter 2: Software Defect Prediction Through a Hybrid Approach Comprising of a Statistical Tool and a Machine Learning Model -- Chapter 3: Conservation of a prey species through optimal taxation: a model with Beddington-DeAngelis Functional Response -- Chapter 4: Investigate the reason for students' absenteeism in Engineering College in Fuzzy MCDM environment -- Chapter 5: Optimal inventory management policies for substitutable products considering non-instantaneous decay and cost of substitution. . |
| Record Nr. | UNINA-9910726276403321 |
|
Gunasekaran Angappa
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
