- Flexible and Reconfigurable Manufacturing Systems
- Digital Transformation in Industry
- Manufacturing Process and Optimization
- Quality and Safety in Healthcare
- Quality and Supply Management
- Reliability and Maintenance Optimization
- Advanced Manufacturing and Logistics Optimization
- Shape Memory Alloy Transformations
- Fault Detection and Control Systems
- Scheduling and Optimization Algorithms
- Risk and Safety Analysis
- Quality and Management Systems
- Machine Fault Diagnosis Techniques
- Sustainable Supply Chain Management
- Business Process Modeling and Analysis
- Life Cycle Costing Analysis
- Industrial Vision Systems and Defect Detection
- Big Data and Business Intelligence
- Engineering Diagnostics and Reliability
- Organic Electronics and Photovoltaics
- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Management and Optimization Techniques
- Semiconductor Lasers and Optical Devices
- Forecasting Techniques and Applications
SAES Group (Italy)
2008-2025
Politecnico di Milano
2015-2024
Enel (Italy)
2015
Micron (Italy)
2013
San Raffaele University of Rome
1999
This work is an explorative study to reflect on the role of digital twins support decisionmaking in asset lifecycle management. The remarks current convergence needs for decision from Asset Management and potentials offered by Digital Twin modeling. importance evident through state art as well practical use case analysis.
Nowadays, one important challenge in cyber-physical production systems is updating dynamic schedules through an automated decision-making performed while the running. The condition of manufacturing equipment may fact lead to schedule unfeasibility or inefficiency, thus requiring responsiveness preserve productivity and reduce operational costs. In order address current limitations traditional scheduling methods, this work proposes a new framework that exploits aggregation several digital...
The increasing awareness of customers toward climate change effects, the high demand instability affecting several industrial sectors, and fast automation digitalization production systems are forcing companies to re-think their business strategies models in view both Circular Economy (CE) Industry 4.0 (I4.0) paradigms. Some studies have already assessed relations between CE I4.0, benefits, barriers. However, a practical demonstration potential impact real contexts is still lacking. aim this...
Field effect transistors require an Ohmic source contact and drain for ideal operation. In many real situations, however, specifically in organic devices, the injection of charge carriers from metals into semiconductors can be inefficient process that is non-Ohmic. This has adverse impact on performance thin film makes analysis electrical measurements a complex task because effects need to disentangled transistor properties. paper deals with non-Ohmic contacts modeling gives specific rules...
Manufacturing companies are experiencing the fourth industrial revolution characterised by introduction of new technologies into production equipment, such as Cyber Physical Systems and Digital Twin simulations. Companies then challenged digitization products systems information, which leads to potentials for digital continuity – i.e. information available continuously updated decision makers along lifecycles. A semantic data model, that structures stores physical operational from field, can...
Abstract Digital Twin (DT) is considered a key approach to enhance the system reactivity uncertain events due its ability getting data from field and triggering actions on physical asset. Given modern technological rapidly changing work environment, it likely that in next years companies will need retrofit their manufacturing systems by integrating DTs. In this context, fundamental define necessary steps for development of DTs integration into through DT architecture. response issue,...
Sustainability is one of the main impacting trends that shaping today's industries, and cosmetics sector no exception. The paper presents a systematic literature review sustainability paradigm affecting industry, trying to investigate state art scientific about embracement Circular Economy by sector, digging deeper distinctive practices should be employed companies along cosmetic product lifecycle, connection with several stakeholders involved in Green Transition path. study has been pursued...
Abstract The last decade saw the rise of digitalization and data-supported decision making in manufacturing industry: Fourth Industrial Revolution. This trend, also known as Industry 4.0, allows enterprises to discover uncertainties measure their real capability. One ways which 4.0 trends have been exploited is improvement maintenance, went from following planning-focused paradigms more proactive-focused stances. Enabling vision for maintenance purposes has historically required companies...
The cosmetics industry requires a long-term sustainable strategy to balance its continuously growing trend worldwide and resources consumption. In this view, the suppliers' selection process is gaining more attention affecting products' overall sustainability. objective of contribution hence develop validate Cosmetics Sustainable Supplier Selection (C-SSS) model allowing suppliers for cosmetic industry, evaluating them in an balanced manner. was built relying on both scientific grey...
Purpose The paper proposes a maturity assessment method to measure the state of maintenance practices in company. Design/methodology/approach assumes that department is evaluated terms its managerial, organizational and technological capabilities. By adoption it possible analyse level reached by company, order classify criticalities processes; company can also make benchmark with best companies reference sample. Findings presents as support identify levers improve management system....
Abstract Cyber Physical Systems are an evolution of embedded systems featuring a tight combination collaborating computational elements that control physical entities. CPSs promise great potential innovation in many areas including manufacturing and production. This is because we obtain very powerful, flexible, modular infrastructure allowing easy (re) configurability fast ramp-up applications by building system with mechatronic components (for machining, transportation storage)...
In the last decade manufacturing experienced a shift towards digitalization. Cost decrease of sensors, wireless connectivity, and opportunity to store big amounts data pushed process next generation IT industry. Manufacturing now has gather large quantities data, coming from different areas, such as product design, assembly, material planning, quality control, scheduling, maintenance, fault detection cover all life cycle phases. The extraction value is new challenge that companies are...
Bottlenecks in manufacturing systems may significantly reduce their efficiency and productivity. Therefore, bottleneck analysis is a consolidated topic Industrial Engineering, both research practice. Recently, traditional methods for have been enhanced with data-driven approaches, such as artificial intelligence big data analytics. Nevertheless, exploitation built on the full scope of technologies from digitalization still not fulfilled. Indeed, integration simulation-based remains...