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.

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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
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article

A Smart Lean-IoT Framework for Advanced Medical Device Manufacturing

Valentina Popolo, Maryam Gallab, Loriana Ricciardi, Mario Di Nardo et al.
Procedia Computer Science
Digital Transformation in Industry
article

A Smart Lean-IoT Framework for Advanced Medical Device Manufacturing

Valentina Popolo, Maryam Gallab, Loriana Ricciardi, Mario Di Nardo, Shatrudhan Pandey
article en

Abstract

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.

Procedia Computer ScienceVol. 277
Marwadi University (IN), Pegaso University (IT), National School of Mineral Industry (MA)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Digital Transformation in Industry
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A Smart Lean-IoT Framework for Advanced Medical Device Manufacturing — Valentina Popolo, Maryam Gallab, et al. · Procedia Computer Science (2026) | TGRS Research Map | TGRS