Clean-Room Resource Allocation and Yield-Linked Workforce Planning: AI-Based Optimisation of Workforce Efficiency in American Semiconductor Manufacturing

Authors

  • Maria Fox Professor of Computer Science, King's College London

Keywords:

clean-room resource allocation, yield-linked workforce planning, optimisation, workforce efficiency, machine learning

Abstract

Moreover, the development of AI-assisted Machine Supervision (AIMS) systems, such as the proposed ASAP solution, represents a significant advancement in empowering manufacturing workers with actionable intelligence for decision-making in machine operation management, production scheduling, and facility management.

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Published

31-12-2021

How to Cite

[1]
“Clean-Room Resource Allocation and Yield-Linked Workforce Planning: AI-Based Optimisation of Workforce Efficiency in American Semiconductor Manufacturing”, Human-Computer Interaction Persp., vol. 1, no. 2, pp. 69–76, Dec. 2021, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/786