Auswahl der wissenschaftlichen Literatur zum Thema „Maintenance prescriptive“
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Zeitschriftenartikel zum Thema "Maintenance prescriptive"
Geier, Manuel. „Prescriptive Maintenance mit zentralem Datenportal“. BWK ENERGIE. 74, Nr. 9-10 (2022): 26–27. http://dx.doi.org/10.37544/1618-193x-2022-9-10-26.
Der volle Inhalt der QuelleErrandonea, Itxaro, Unai Alvarado, Sergio Beltrán und Saioa Arrizabalaga. „A Maturity Model Proposal for Industrial Maintenance and Its Application to the Railway Sector“. Applied Sciences 12, Nr. 16 (17.08.2022): 8229. http://dx.doi.org/10.3390/app12168229.
Der volle Inhalt der QuelleYamashita, Akiko, Mitsuyuki Kawakami, Yoshimasa Inagaki und Takao Ohkubo. „A Prescriptive Exercise Program for Health Maintenance“. International Journal of Occupational Safety and Ergonomics 7, Nr. 2 (Januar 2001): 195–209. http://dx.doi.org/10.1080/10803548.2001.11076486.
Der volle Inhalt der QuelleKothona, Despoina, Ioannis P. Panapakidis und Georgios C. Christoforidis. „Development of prescriptive maintenance methodology for maintenance cost minimization of photovoltaic systems“. Solar Energy 271 (März 2024): 112402. http://dx.doi.org/10.1016/j.solener.2024.112402.
Der volle Inhalt der QuelleKawakami, M., A. Yamashita, T. Ohkubo und Y. Sanbayashi. „A Reasonable Prescriptive Exercise Program for Health Care Maintenance“. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, Nr. 33 (Juli 2000): 6–178. http://dx.doi.org/10.1177/154193120004403327.
Der volle Inhalt der QuelleKoops, Lily Geraldine. „Optimized Maintenance Decision-Making – A Simulation-supported Prescriptive Analytics Approach based on Probabilistic Cost-Benefit Analysis“. PHM Society European Conference 5, Nr. 1 (22.07.2020): 14. http://dx.doi.org/10.36001/phme.2020.v5i1.1269.
Der volle Inhalt der QuelleFox, Harriet, Ajit C. Pillai, Daniel Friedrich, Maurizio Collu, Tariq Dawood und Lars Johanning. „A Review of Predictive and Prescriptive Offshore Wind Farm Operation and Maintenance“. Energies 15, Nr. 2 (11.01.2022): 504. http://dx.doi.org/10.3390/en15020504.
Der volle Inhalt der QuelleBelov, Sergei, Sergei Nikolaev und Ighor Uzhinsky. „Hybrid Data-Driven and Physics-Based Modeling for Gas Turbine Prescriptive Analytics“. International Journal of Turbomachinery, Propulsion and Power 5, Nr. 4 (09.11.2020): 29. http://dx.doi.org/10.3390/ijtpp5040029.
Der volle Inhalt der QuelleAnsari, Fazel, Robert Glawar und Tanja Nemeth. „PriMa: a prescriptive maintenance model for cyber-physical production systems“. International Journal of Computer Integrated Manufacturing 32, Nr. 4-5 (20.02.2019): 482–503. http://dx.doi.org/10.1080/0951192x.2019.1571236.
Der volle Inhalt der QuelleLiu, Bin, Jing Lin, Liangwei Zhang und Uday Kumar. „A Dynamic Prescriptive Maintenance Model Considering System Aging and Degradation“. IEEE Access 7 (2019): 94931–43. http://dx.doi.org/10.1109/access.2019.2928587.
Der volle Inhalt der QuelleDissertationen zum Thema "Maintenance prescriptive"
Dias, Longhitano Pedro. „Maintenance prescriptive pour la gestion optimale de systèmes soumis à dégradation : application à la prescription conjointe de modes d’utilisation et d’actions de maintenance pour des véhicules industriels“. Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT010.
Der volle Inhalt der QuelleWith digitalization, the internet of things and the popularization of data-centric services, different economy sectors have gone through significant changes in their business model. For the automotive sector in particular, those changes relate to moving towards more service-oriented offers. Selling a vehicle is no longer the last contact with the client, as aftermarket services are responsible for a significant part of vehicle manufacturer's revenue. With that in mind, the main concern of this research project is to lay down the foundations for enabling future services for heavy vehicles.This work stresses the importance of maintenance optimization as well as its relationship with vehicle usage. In the past, maintenance was limited to corrective replacements of faulty parts resulting in long idle periods. This impacted the activity of the transporter, as well as its repair costs. The introduction of monitoring systems along with the current communication techniques allow the development of new optimization methods in which, not only replacement dates are determined optimally but also, vehicle usage is changed accordingly, ensuring cost optimization, and continuously extending trucks remaining useful life. With today's technology, those optimization methods could be turned into services that help clients defining replacement dates, manage logistics to minimize degradation levels of the fleet, or even change vehicle software parameters to minimize the long-term costs.This approach to maintenance, in which life is extend through a myriad of different actions encompassing several aspects of vehicle usage, is often referred to as prescriptive maintenance. Although prescriptive maintenance was from the beginning an important element of this work, its definition is rather controversial in the literature. As a consequence, a conceptual effort is done in this document in order to clarify the scope of this kind of maintenance paradigm. With more precise definitions and a clear scope, prescriptive maintenance is applied in the context of heavy vehicles.Prescriptive maintenance applications for heavy vehicles can be seen as original optimization problems in the realm of transportation science. Throughout the investigation of such methods, significant scientific contributions were made. First and foremost, prescriptive maintenance requires models that can realistically connect degradation and vehicle usage. Such models are hardly adapted for decision-making problems and require adaptation. In this document, such models are studied in detail.Solving those aforementioned optimization problems is a non-trivial task. All of the aforementioned formulations required significant computational effort to be solved exactly. As such, another dimension of this work contribution is the development of algorithms suitable for solving them. Classical methods are adapted taking advantage of particular properties of the models used and heuristics capable of closing the optimization gap in a reasonable time are developed
Ngorsuraches, Surachat. „The effects of inflation, utilization, prescription size, and product mix on prescription drug expenditure changes in a health maintenance organization (HMO)“. Madison, 2002. http://www.library.wisc.edu/databases/connect/dissertations.html.
Der volle Inhalt der QuelleRichards, Erika Kristin McKeithan. „An analysis of the effect of managed care implementation of prescription drug utilization by Texas Medicaid clients“. Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3035965.
Der volle Inhalt der QuelleBalasubramanian, Prashanth. „Root cause analysis-based approach for improving preventive/corrective maintenance of an automated prescription-filling system“. Diss., Online access via UMI:, 2009.
Den vollen Inhalt der Quelle findenIncludes bibliographical references.
Johnsrud, Michael Thomas. „An analysis of the utilization of and payments for prescription drugs and related health care services for Medicaid clients in health maintenance organization (HMO) and primary care case management (PCCM) health care delivery systems in Texas /“. Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
Der volle Inhalt der QuelleKubíček, Lukáš. „Příprava a realizace výstavby mateřské školy“. Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2019. http://www.nusl.cz/ntk/nusl-392313.
Der volle Inhalt der QuelleFaltynková, Pavla. „Bytové domy A a B v Nemocniční ulici v Uničově - stavebně technologická příprava stavby“. Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225557.
Der volle Inhalt der QuelleMouka, Jiří. „Víceúčelový objekt v Lužici - stavebně technologický projekt“. Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-371979.
Der volle Inhalt der QuelleGuichard, Anne. „Prescription et usages du Subutex dans les parcours des toxicomanes en France“. Thèse, 2005. http://hdl.handle.net/1866/17756.
Der volle Inhalt der QuelleNgorsuraches, Surachat. „The effects of price change and product mix on prescription drug expenditures in a health maintenance organization (HMO)“. 1999. http://catalog.hathitrust.org/api/volumes/oclc/44408529.html.
Der volle Inhalt der QuelleTypescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 107-111).
Bücher zum Thema "Maintenance prescriptive"
McCann, Michael L. Prescription for Health: Healthy RX for Prevention, Maintenance and Recovery. Lanham, MD, USA: Pneuma Life Publishing, 2002.
Den vollen Inhalt der Quelle findenGreen, Mark. Compromising your drug of choice: How HMOs are dictating your next prescription. New York, NY: [New York Public Advocate's Office], 1996.
Den vollen Inhalt der Quelle findenScanlon, William. Prescription drug benefits: Impact of Medicare HMOs' use of formularies on beneficiaries : statement of William J. Scanlon, Director, Health Financing and Public Health Issues, Health, Education, and Human Services Division, before the Special Committee on Ag. Washington, D.C: The Office, 1999.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Prescription drug benefits: Implications for beneficiaries of medicare HMO use of formularies : report to Congressional Requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): U.S. General Accounting Office, 1999.
Den vollen Inhalt der Quelle findenInsurance, California Legislature Senate Committee on. Informational hearing on how can the state protect senior citizens from dwindling prescription drug benefits? Sacramento, Calif: Senate Publications, 2000.
Den vollen Inhalt der Quelle findenCalifornia. Legislature. Senate. Committee on Insurance. Informational hearing on how can the state protect senior citizens from dwindling prescription drug benefits? Sacramento, CA (1020 N Street, Sacramento): Additional copies, Senate Publications, 2000.
Den vollen Inhalt der Quelle findenCalifornia. Bureau of State Audits. Department of Health Services: Its drug management techniques are similar to those of health maintenance organizations. Sacramento, Calif: Bureau of State Audits, 1997.
Den vollen Inhalt der Quelle findenIncorporated, CCH, Hrsg. Medicare part D: Medicare prescription drug benefit : January 28, 2005 : including CCH explanations and new and revised regulations from 42 C.F.R. parts 400, 403, 411, 417, and 423. Chicago: CCH, 2005.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Medicare+Choice: Plan withdrawals indicate difficulty of providing choice while achieving savings : report to Congressional Requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 2000.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Medicare+choice: New standards could improve accuracy and usefulness of plan literature : report to Congressional requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1999.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Maintenance prescriptive"
Koukaras, Paraskevas, Asimina Dimara, Sergio Herrera, Niccolò Zangrando, Stelios Krinidis, Dimosthenis Ioannidis, Piero Fraternali, Christos Tjortjis, Christos-Nikolaos Anagnostopoulos und Dimitrios Tzovaras. „Proactive Buildings: A Prescriptive Maintenance Approach“. In IFIP Advances in Information and Communication Technology, 289–300. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08341-9_24.
Der volle Inhalt der QuelleDias Longhitano, Pedro, Khaoula Tidriri, Christophe Bérenguer und Benjamin Echard. „Proposition of a Generic Decision Framework for Prescriptive Maintenance“. In Lecture Notes in Mechanical Engineering, 263–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96794-9_24.
Der volle Inhalt der QuelleGreasley, Andrew. „Chapter 14. Case Study: A Simulation of a Rail Carriage Maintenance Depot“. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, 280–88. Berlin, Boston: De Gruyter, 2019. http://dx.doi.org/10.1515/9781547400690-014.
Der volle Inhalt der QuelleTham, Chen-Khong, und Naman Sharma. „Prescriptive Maintenance Using Markov Decision Process and GPU-Accelerated Edge Computing“. In Mobile Edge Computing, 167–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69893-5_8.
Der volle Inhalt der QuelleMohd Adha, Mat Esa, Muhammad Masdi und Husin Hilmi. „Prescriptive Analytics for Dynamic Risk-Based Naval Vessel Maintenance Decision-Making“. In Lecture Notes in Mechanical Engineering, 345–59. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-5946-4_28.
Der volle Inhalt der QuelleAnsari, Fazel, Robert Glawar und Wilfried Sihn. „Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks“. In Machine Learning for Cyber Physical Systems, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-59084-3_1.
Der volle Inhalt der QuelleFranzen, Julian, Jannis Stecken, Raphael Pfaff und Bernd Kuhlenkötter. „Using the Digital Shadow for a Prescriptive Optimization of Maintenance and Operation“. In Advances in Production, Logistics and Traffic, 265–76. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13535-5_19.
Der volle Inhalt der QuelleAdha Mat Esa, Mohd, und Masdi Muhammad. „A Comprehensive Review of Prescriptive Analytics for Naval Vessels Risk-Based Maintenance Decision-Making“. In Lecture Notes in Mechanical Engineering, 503–15. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1939-8_39.
Der volle Inhalt der QuelleNikolaev, Sergei, Sergei Belov, Mikhail Gusev und Ighor Uzhinsky. „Hybrid Data-Driven and Physics-Based Modelling for Prescriptive Maintenance of Gas-Turbine Power Plant“. In IFIP Advances in Information and Communication Technology, 379–88. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-42250-9_36.
Der volle Inhalt der QuelleGarrone, Andrea, Simone Minisi, Luca Oneto, Carlo Dambra, Marco Borinato, Paolo Sanetti, Giulia Vignola, Federico Papa, Nadia Mazzino und Davide Anguita. „Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment“. In Lecture Notes in Networks and Systems, 74–83. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16281-7_8.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Maintenance prescriptive"
Choubey, Suresh, Ryan Benton und Tom Johnsten. „Prescriptive Equipment Maintenance: A Framework“. In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006213.
Der volle Inhalt der QuelleKothona, Despoina, Ioannis P. Panapakidis und Georgios C. Christoforidis. „Prescriptive maintenance technique for photovoltaic systems“. In 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2022. http://dx.doi.org/10.1109/eeeic/icpseurope54979.2022.9854790.
Der volle Inhalt der QuelleZhao, Yang, Yajuan Sun, Linshan Jiang und Ryan Chan Wei Yang. „Few-Shot Learning for Prescriptive Maintenance“. In International Conference of Asian Society for Precision Engineering and Nanotechnology. Singapore: Research Publishing Services, 2022. http://dx.doi.org/10.3850/978-981-18-6021-8_or-08-0094.html.
Der volle Inhalt der QuelleChimundu, John, und Ahmed Ali. „Modern Maintenance Strategies Prescriptive Approach Using Machine learning“. In 2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2022. http://dx.doi.org/10.1109/ei256261.2022.10116146.
Der volle Inhalt der QuelleMarques, Henrique, und Alessandro Giacotto. „Prescriptive Maintenance: Building Alternative Plans for Smart Operations“. In The 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden. Linköping University Electronic Press, 2019. http://dx.doi.org/10.3384/ecp19162027.
Der volle Inhalt der QuelleTham, Chen-Khong, Weihao Liu und Rajarshi Chattopadhyay. „Prescriptive Maintenance of Freight Vehicles using Deep Reinforcement Learning“. In 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). IEEE, 2023. http://dx.doi.org/10.1109/vtc2023-spring57618.2023.10199753.
Der volle Inhalt der QuelleEsposito, Nicola, Bruno Castanier und Massimiliano Giorgiov. „A Prescriptive Maintenance Policy for a Gamma Deteriorating Unit“. In 32nd European Safety and Reliability Conference. Singapore: Research Publishing Services, 2022. http://dx.doi.org/10.3850/978-981-18-5183-4_r14-05-139-cd.
Der volle Inhalt der QuelleEsposito, Nicola, Bruno Castanier und Massimiliano Giorgiov. „A Prescriptive Maintenance Policy for a Gamma Deteriorating Unit“. In 32nd European Safety and Reliability Conference. Singapore: Research Publishing Services, 2022. http://dx.doi.org/10.3850/978-981-18-5183-4_r14-05-139.
Der volle Inhalt der QuelleStrack, Bernhard, Jana Frank, Volker Stich, Martin Lenart und Florian Pfau. „Sociotechnical Implementation of Prescriptive Maintenance for Onshore Wind Turbines“. In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2022. http://dx.doi.org/10.24251/hicss.2022.158.
Der volle Inhalt der QuelleEsposito, Nicola, Bruno Castanier und Massimiliano Giorgio. „An Adaptive Prescriptive Maintenance Policy for a Gamma Deteriorating Unit“. In 33rd European Safety and Reliability Conference. Singapore: Research Publishing Services, 2023. http://dx.doi.org/10.3850/978-981-18-8071-1_p311-cd.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Maintenance prescriptive"
Soares, Tatiana Fontes, Alexis Smith-Juvelis, Cheryl Gray und Alejandro Soriano. IDB-9: Financial and Risk Management. Inter-American Development Bank, März 2013. http://dx.doi.org/10.18235/0010520.
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