NXP

AI-Driven Strategic Capacity Planning: From Data and Semantic Readiness to Intelligent Decision Support

In short

This is a student research project at NXP investigating how Strategic Capacity Planning data and semantic knowledge can be turned into an AI-based decision-support solution. The work involves assessing data and semantic models, formulating a concrete AI research problem, and designing, implementing, and evaluating an AI solution using real-world semiconductor planning data. It spans the full pathway from data and domain knowledge readiness to an experimentally validated AI solution.

About the Project
The objective is to investigate how Strategic Capacity Planning data and semantic knowledge can be transformed into an effective AI-based decision-support capability.
The student will first assess the available data, semantic model, and candidate use cases. Based on this analysis, the most promising AI use case will be selected and formulated as a concrete research problem. The student will subsequently design, implement, and evaluate an appropriate AI solution using real-world semiconductor planning data.
Rather than treating AI readiness assessment and AI development as separate activities, the project investigates the complete pathway from data and domain knowledge to an experimentally validated AI solution.

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