Abstract
The data-driven digital economy highly relies on immersive and emerging technologies, mass customisation, autonomous systems, and seamless connectivity. Enabling such an Industrial IoT/Industry 5.0 environment requires streamlined and end-to-end transparent methods for insights, visibility, and control. However, it is important to note that its success depends on data security metrics. The recent cyber-attacks in healthcare and industrial infrastructures have led service providers to high-risk scenarios. From supply chain to service delivery, remote functionality variables, enabling a fully connected factory is a major cybersecurity concern as emerging technologies employ different security requirements. To mitigate these risks, strategic, operational, technical, and cybersecurity alignment is a must, where the gaps between the production and process environments must be bridged to achieve the prime goal of a sustainable, secure, and technologically innovative factory. This research provides a systematic approach to bridging Industry 5.0’s QoS metrics and security gaps by implementing a Six Sigma (6σ) approach in a manufacturing environment. The approach further maps IT/OT, cloud, and cybersecurity standards, thereby enabling insights, visibility, and control. A healthcare 5.0 use-case is demonstrated to show how a 6σ implementation can improve the QoS metrics, unifying standards to achieve a secure, sustainable, resilient, and high-performance environment.
Original language | English (Ireland) |
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Journal | Mehran University Research Journal of Engineering and Technology |
Volume | 43 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- industry 5.0
- Precision healthcare
- Six Sigma
- cloud computing
- cybersecurity
- standards
- Gap analysis
- mapping
- Lean digital transformation
- Sustainable healthcare
- IT
- OT