Raffaele Abbate

ORCID: 0000-0001-7885-3861
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About
Contact & Profiles
Research Areas
  • Manufacturing Process and Optimization
  • Quality and Safety in Healthcare
  • Machine Fault Diagnosis Techniques
  • Probabilistic and Robust Engineering Design
  • Quality and Supply Management
  • Sustainable Supply Chain Management
  • Fault Detection and Control Systems
  • Hepatitis B Virus Studies
  • Life Cycle Costing Analysis
  • Dental materials and restorations
  • Consumer Retail Behavior Studies
  • Digital Transformation in Industry
  • Cervical Cancer and HPV Research
  • Advanced Aircraft Design and Technologies
  • Urban and Freight Transport Logistics
  • Technology Assessment and Management
  • Product Development and Customization
  • Reliability and Maintenance Optimization
  • Occupational Health and Safety Research
  • Health, Environment, Cognitive Aging
  • Imbalanced Data Classification Techniques
  • Innovation and Knowledge Management
  • Forecasting Techniques and Applications
  • Genital Health and Disease
  • Architecture and Art History Studies

University of Campania "Luigi Vanvitelli"
2008-2024

Philadelphia University
2008

This study assesses knowledge, attitudes, and behavioural intention towards human papillomavirus (HPV) infection vaccination in a random sample of 1348 adolescents young women aged 14–24 years Italy. A self-administered anonymous questionnaire covered demographics; knowledge about HPV infection, cervical cancer, vaccine; the perceived risk for contracting and/or developing benefits to prevent willingness receive an vaccine. Only 23.3% have heard that is genital mucosa cancer. Those older,...

10.1038/sj.bjc.6604454 article EN cc-by-nc-sa British Journal of Cancer 2008-07-01

In the last decade, adoption of technological tools in manufacturing industry, such as use Internet Things (IoT) and Machine Learning (ML), has led to advent industry 4.0 (I4.0). this scenario, intelligent devices can generate large volumes data about industrial machinery equipment that be used make maintenance more efficient. Prognostics Health Management (PHM) is an emerging strategy uses systems’ Condition Monitoring through IoT sensors installed on diagnose their faults or estimate...

10.1177/18479790231186848 article EN cc-by International Journal of Engineering Business Management 2023-02-01

This study investigates the impact of different reverse logistics (RL) strategies on economic and environmental performance a system within rubber flooring sector. A simulation tool was developed to replicate behavior real production system, focusing transition from linear circular processes. By considering multiple factors influencing performance, this research offers an overview sustainability various RL provides realistic es-timates for scenarios. Three key were identified evaluate each...

10.20944/preprints202502.2084.v1 preprint EN 2025-02-26

Maintenance represents a critical aspect of manufacturing systems. Its optimization may lead companies to save costs related production losses and can extend the whole lifecycle assets or components. This paper aims at proposing methodology for evaluating behavior systems maintenance purpose by means analysis carried out on real vibration data collected in work environment. To this purpose, digital twin approach has been developed statistical method control charts integrated conduct about...

10.1016/j.procs.2022.01.252 article EN Procedia Computer Science 2022-01-01

Aircrafts are responsible for a significant environmental impact mainly due to the air pollution caused by their motors. The use of composite materials production is way significantly reduce weight structures and maximise ratio between payload gasoline consumption. Moreover, design phase has consider cost different operations performed during aircraft service life. During entire life cycle, one main costs maintenance one. In current literature, there lack knowledge methods estimation in...

10.3390/su122310120 article EN Sustainability 2020-12-03

Abstract Prognostic and Health Management (PHM) is an emerging maintenance concept that highly regarded by the scientific community practitioners, as its adoption can bring economic, technical environmental benefits to a company. PHM fully reflects smart paradigm encompassing data collection, manipulation, state detection, health assessment, prognostic assessment advisory generation. Despite undeniable benefits, there still large gap between real world. Several authors have investigated on...

10.1049/cim2.12122 article EN cc-by-nc-nd IET Collaborative Intelligent Manufacturing 2024-10-03

Abstract This paper presents a novel reliability-based parametric methodology for quantifying the reliability of cost estimates new composite aircraft components. In recent years, production sector has increased its attention on optimizing their manufacturing operations. It become clear that key factor in success these operations is consideration not only technical factors, but also economic ones as well are relevant. Composite variability greatly influenced by many and since with composites...

10.1007/s12008-023-01397-3 article EN cc-by International Journal on Interactive Design and Manufacturing (IJIDeM) 2023-07-07

Abstract Industry 4.0 (I4.0) is an emerging paradigm that affecting several industrial fields. Many innovations have been introduced to optimize and improve the production efficiency by means of new technologies. Additive manufacturing (AM) enabling technology I4.0 leading related systems, but companies are looking AM also for maintenance purposes. The aim this study find existing link discuss on their benefits feasibility. A systematic literature review (SLR) approach has used purpose....

10.1002/masy.202100452 article EN cc-by-nc-nd Macromolecular Symposia 2022-08-01

This paper deals with the tricky issue of forecasting number daily orders received by a delivery company that operates through internet. The research tries to address problem Multilayer Perceptron Neural Network (MLP). more important step methodology is identification and characterization features adopt as inputs for MLP in cited case. visits (NVs) website, months, days week public holidays are four used predict (NOs). Levenberg Marquardt back-propagation algorithm was train model. proposed...

10.1016/j.ifacol.2022.09.465 article EN IFAC-PapersOnLine 2022-01-01
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