A Smart Lean-IoT Framework for Advanced Medical Device Manufacturing
This study proposes a Smart Lean-IoT framework to enhance medical device manufacturing by integrating Lean principles, IoT technologies, and advanced healthcare production methods. The framework is structured into three layers: a Lean Foundation Layer, which modernizes traditional lean tools with real-time IoT data; an IoT-Driven Smart Manufacturing Layer, which enables intelligent automation, predictive maintenance, and digital traceability; and a Healthcare Outcomes Layer, which ensures regulatory compliance, product customization, and improved patient safety through continuous feedback. Together, these layers form a connected and adaptive system that optimizes production efficiency, reduces defects, and ensures high product reliability. The study demonstrates significant improvements in throughput, cost-effectiveness, and compliance. The proposed framework provides a scalable solution that bridges manufacturing innovation and healthcare demands, contributing to the digital transformation of medical device production and the delivery of safer, higher-quality healthcare solutions.
Authors
- Valentina Popolo (ORCID: https://orcid.org/0000-0002-5754-2439)
- Maryam Gallab (ORCID: https://orcid.org/0000-0003-2858-5939)
- Loriana Ricciardi
- Mario Di Nardo (ORCID: https://orcid.org/0000-0001-9954-1218)
- Shatrudhan Pandey
Institutions
- Marwadi University (IN)
- Pegaso University (IT)
- National School of Mineral Industry (MA)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1016/j.procs.2026.02.063
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00