Marta Travaglioni

ORCID: 0000-0003-2214-8279
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Recycled Aggregate Concrete Performance
  • Concrete and Cement Materials Research
  • Digital Transformation in Industry
  • Innovative concrete reinforcement materials
  • Sustainable Supply Chain Management
  • Environmental Impact and Sustainability
  • Industrial Vision Systems and Defect Detection
  • Recycling and Waste Management Techniques
  • Thermochemical Biomass Conversion Processes
  • Environmental Sustainability in Business
  • IoT and Edge/Fog Computing
  • Municipal Solid Waste Management
  • Sustainability and Innovation in Business
  • Technology Assessment and Management
  • Energy and Environment Impacts
  • Smart Cities and Technologies
  • Innovation and Knowledge Management
  • Advanced Statistical Process Monitoring
  • Sustainable Industrial Ecology
  • Recycling and utilization of industrial and municipal waste in materials production

Università degli Studi della Tuscia
2023

Parthenope University of Naples
2019-2022

Adaptation and innovation are extremely important to the manufacturing industry. This development should lead sustainable using new technologies. To promote sustainability, smart production requires global perspectives of application technology. In this regard, thanks intensive research efforts in field artificial intelligence (AI), a number AI-based techniques, such as machine learning, have already been established industry achieve manufacturing. Thus, aim present was analyze,...

10.3390/su12020492 article EN Sustainability 2020-01-08

Smart manufacturing is considered as a new paradigm that makes work smarter and more connected, bringing speed flexibility through the introduction of digital innovation. Today, innovation closely linked to “sustainability” companies. Digital sustainability are two inseparable principles based on concept circular economy. enables economy model, promoting use solutions like platforms, smart devices, artificial intelligence help optimize resources. Thus, purpose research present systematic...

10.3390/app10082897 article EN cc-by Applied Sciences 2020-04-22

While sustainable development has long been a subject of study, only in recent years have international organizations, nations, regions and communities intensified their action towards it engaged efforts to make its principles operational. The attempts design policies strategies define measuring instruments for implementing reducing the uncertainty implementation process not completely successful mostly confined environmental dimension sustainability. Innovative strategies, need be develop,...

10.1016/j.sftr.2023.100109 article EN cc-by-nc-nd Sustainable Futures 2023-03-21

In the last 20 years, there have been a series of seismic events in Italy that caused serious damage to civil and building structures. This has led significant increase use concrete for reconstruction new structures repair existing damaged by earthquakes. At same time, industry is responsible most environmental during life cycle built environment. The disadvantages characterizing are related constant growth exploitation natural aggregates. Therefore, it necessary alternative innovative...

10.3390/ma14082048 article EN Materials 2021-04-19

Big Data, the Internet of Things, and robotic augmented realities are just some technologies that belong to Industry 4.0. These improve working conditions increase productivity quality industry production. However, they can also life society as a whole. A new perspective is oriented towards social well-being it called Society 5.0. 4.0 supports transition society, but other drivers needed. To guide transition, necessary identify enabling factors integrate conceptual framework was developed in...

10.3390/data6110115 article EN cc-by Data 2021-11-10

Companies digitized with the fourth industrial revolution should create an ecosystem of innovation that provides opportunities for dialogue all parties involved. Technological developments and transformations be reflected in processes based on Open Innovation principles. Hence, purpose this paper is to analyse discuss Industry 4.0 perspective. The operational approach consists identifying ranking determinants characterize phenomenon studying interrelations between them, using AHP ISM...

10.1016/j.promfg.2020.02.066 article EN Procedia Manufacturing 2020-01-01

The history of Artificial Intelligence (AI) development dates to the 40s. researchers showed strong expectations until 70s, when they began encounter serious difficulties and investments were greatly, reduced. With introduction Industry 4.0, one techniques adopted for AI implementation is Machine Learning (ML) that focuses on machines ability receive data series learn their own. Given considerable importance subject, have completed many studies ML ensure are able replace or relieve human...

10.20944/preprints201912.0016.v1 preprint EN 2019-12-03

With the Industry 4.0 (I4.0) beginning, world is witnessing an important technological development. The success of I4.0 linked to implementation enabling technologies, including Machine Learning, which focuses on machines’ ability receive a series data and learn their own. present research aims systematically analyze existing literature subject in various aspects, publication year, authors, scientific sector, country, institution keywords. Understanding analyzing Learning applied predictive...

10.46354/i3m.2019.mas.007 article EN 2019-09-01

The awareness of environmental protection, with the conservation resources and efficient use industrial waste, has attracted attention in recent decades as both overexploitation natural disposal waste have a negative impact on environment sustainability [1]. Under such circumstances, replacing ordinary Portland cement (OPC) been shown sustainable practical way to reduce resources, well landfill pollution [2]. discussion this issue is part path, which sees its starting point design hydraulic...

10.4028/p-0209zc article EN Key engineering materials 2022-05-11
Coming Soon ...