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Abstract
This thesis investigates the integration of Lean Startup principles into the semiconductor lithography industry’s research and development (R&D) procedures. This field has historically relied on highly structured models that emphasize predictability, traceability, and risk mitigation, such as the V-Model and Technology Readiness Levels (TRLs). However, time-to-market pressures, technological uncertainty, and increasing market volatility are forcing businesses to take more flexible and iterative approaches.
This study identifies key issues with current R&D practices through a conceptual and simulation-based analysis, such as the high cost and complexity of physical prototyping, limited early customer involvement, and delayed feedback loops. It assesses the selective use of Lean Startup techniques in early-stage, high-uncertainty development phases, including validated learning, rapid experimentation, and MVP development.
The results give credence to the application of a hybrid development framework that blends the rigor of conventional models with the flexibility of Lean Startup. While preserving compliance and system-level dependability in later phases, this dual-track approach allows for quicker innovation and risk reduction in early development.
The thesis ends with actionable implementation suggestions, such as purchasing simulation tools, implementing dual governance structures, launching cultural transformation programs, and updating performance metrics to reflect customer validation and learning. The study’s limitations are noted, and recommendations are made for further research in the areas of executive engagement, quantitative validation, and wider industry application. All things considered, the suggested framework encourages more flexible, client-focused innovation in hardware-intensive industries like semiconductor lithography.