Andrea Bochicchio
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Andrea Bochicchio has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Fabio Fruggiero
University of Basilicata
2 shared publications - Francesco Mancusi
University of Basilicata
2 shared publications - Antonio Laforgia
Saar Meccanica srl, 24027 Nembro, Italy
1 shared publication - Sara Maiolica
Department of Engineering, University of Basilicata, Potenza, Italy
1 shared publication
Latest Publications
- Open Access
- 17 April 2026
- Published by Springer Nature in International Journal on Interactive Design and Manufacturing (IJIDeM)
- Vol. 20 (7) , 3621-3643
RFID-enabled traceability for perishables: evidence from a system dynamics–Taguchi study
- 17 April 2026
- Published by Springer Nature in International Journal on Interactive Design and Manufacturing (IJIDeM)
- Vol. 20 (7) , 3621-3643
Open AccessRFID-enabled traceability for perishables: evidence from a system dynamics–Taguchi study
- Open Access
- 22 October 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (21) , 11333
Sustainability-Aware Maintenance for Machine Tools: A Quantitative Framework Linking Degradation Management with Life-Cycle Cost and Environmental Performance
Industrial machine tools are both performance assets and environmental hotspots over their long service lives. Maintenance is traditionally optimized to safeguard availability, quality and cost. However, maintenance choices also determine the energy consumption, footprints, component duration and end-of-life pathways. In this study, we present a decision framework to compare performance-only maintenance (POM) with sustainability-aware maintenance (SAM) for machine tools. The framework integrates degradation and Remaining Useful Life (RUL) estimation, Life Cycle Assessment (LCA) and Life Cycle Costing (LCC). Outcomes are summarized with a Sustainable Maintenance Balance (SMB) index. We test the proposed approach on a horizontal machining center for aluminum, validated by running a Monte Carlo simulation over a 1000 h functional unit. Across empirical data and simulation, SAM—compared to POM—demonstrated an ability to improve availability, reduces downtime and scrap, and lower total LCC while cutting carbon emissions. The proposed method is proposed as readily deployable in real plants, supporting robust sustainable-production decisions.
- 22 October 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (21) , 11333
Open AccessSustainability-Aware Maintenance for Machine Tools: A Quantitative Framework Linking Degradation Management with Life-Cycle Cost and Environmental Performance
Industrial machine tools are both performance assets and environmental hotspots over their long service lives. Maintenance is traditionally optimized to safeguard availability, quality and cost. However, maintenance choices also determine the energy consumption, footprints, component duration and end-of-life pathways. In this study, we present a decision framework to compare performance-only maintenance (POM) with sustainability-aware maintenance (SAM) for machine tools. The framework integrates degradation and Remaining Useful Life (RUL) estimation, Life Cycle Assessment (LCA) and Life Cycle Costing (LCC). Outcomes are summarized with a Sustainable Maintenance Balance (SMB) index. We test the proposed approach on a horizontal machining center for aluminum, validated by running a Monte Carlo simulation over a 1000 h functional unit. Across empirical data and simulation, SAM—compared to POM—demonstrated an ability to improve availability, reduces downtime and scrap, and lower total LCC while cutting carbon emissions. The proposed method is proposed as readily deployable in real plants, supporting robust sustainable-production decisions.