Advancing network security in industrial IoT: a deep dive into AI-enabled intrusion detection systems
The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation
This research examines the transformative potential of artificial intelligence (AI) in general
and Generative AI (GAI) in particular in supply chain and operations management (SCOM) …
and Generative AI (GAI) in particular in supply chain and operations management (SCOM) …
Improving operations through a lean AI paradigm: A view to an AI-aided lean manufacturing via versatile convolutional neural network
Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …
revolutionary approach to optimize production processes, reduce waste, and enhance …
How Lean and Industry 4.0 affect worker outcomes and operational performance: A quantitative assessment of competing models
This study explores the relationship between Lean Manufacturing and Industry 4.0, two
paradigms that have shaped modern manufacturing. While Lean Manufacturing seeks to …
paradigms that have shaped modern manufacturing. While Lean Manufacturing seeks to …
Operational practices for integrating lean and industry 4.0–a dynamic capabilities perspective
This article presents the findings of an exploratory survey conducted among 256 experts
engaged in German manufacturing firms to explore practices related to integrating Lean with …
engaged in German manufacturing firms to explore practices related to integrating Lean with …
Few-shot learning for defect detection in manufacturing
P Zajec, JM Rožanec, S Theodoropoulos… - … Journal of Production …, 2024 - Taylor & Francis
Quality control is being increasingly automatised in the context of Industry 4.0. Its
automatisation reduces inspection times and ensures the same criteria are used to evaluate …
automatisation reduces inspection times and ensures the same criteria are used to evaluate …
Evaluating the fidelity of statistical forecasting and predictive intelligence by utilizing a stochastic dataset
Forecasting plays a pivotal role in reducing waste within the manufacturing enterprise by
aligning production closely with demand, thereby minimizing the excess that typically results …
aligning production closely with demand, thereby minimizing the excess that typically results …
Deploying deep convolutional neural network to the battle against cancer: Towards flexible healthcare systems
The complexity of the facilities of healthcare providers goes beyond their physical
articulation, function, and organization; it also involves integrating technology and …
articulation, function, and organization; it also involves integrating technology and …
Artificial intelligence in lean manufacturing: digitalization with a human touch?
DJ Powell - International Journal of Lean Six Sigma, 2024 - emerald.com
Lean manufacturing has been the dominant approach to industrial improvement since the
1990s when the concept was popularized in The Machine that Changed the World (Womack …
1990s when the concept was popularized in The Machine that Changed the World (Womack …
Minimizing wastevia novel fuzzy hybrid stacked ensembleof vision transformers and CNNs to detect defects in metal surfaces
Surface defect detection in steel manufacturing is crucial for quality control and waste
reduction, yet traditional manual inspection methods are time-consuming, subjective, and …
reduction, yet traditional manual inspection methods are time-consuming, subjective, and …