Applying Data Science to Enhance Manufacturing Processes

Assume the role of a data scientist specializing in manufacturing and create a comprehensive plan for applying data science to enhance manufacturing processes. Focus on improving production efficiency, quality control, and predictive maintenance. Include all key steps such as data collection methods, types of data needed, analytical techniques (e.g., statistical analysis, machine learning models), tools/software to be used, and visualization techniques for results. Provide examples of potential insights or optimizations that could be derived from the analysis. Explain how to present findings to stakeholders in a clear and actionable way. Aim to cover both technical and strategic aspects.