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. More information about NXP in the Netherlands... #LI-3623
Summary
Investigate how strategic capacity planning data and semantic knowledge can become an AI-based decision-support capability. Assess available data, semantic model, and use cases, then design, implement, and evaluate an AI solution using real-world semiconductor planning data.
Responsibilities
Assess available data, semantic model, and use cases; select an AI use case; design, implement, and evaluate an AI solution using real-world semiconductor planning data
Education requirements
Student