Thesis Support: Statistical Tools, SPC, and DoE for Manufacturing Process Improvement

I am seeking an experienced academic writer to provide guidance and support in completing my thesis. The focus is on utilizing statistical tools, Statistical Process Control (SPC), and Design of Experiments (DoE) to improve manufacturing processes by transitioning from 100% inspection to AQL-based sampling inspection through process monitoring and control of critical input variables (X’s) affecting output characteristics (Y’s). The scope includes: - Reviewing my existing work and enhancing its structure, layout, and content. - Providing guidance on the literature review, including foundational quality concepts like process variation, capability indices (Cp, Cpk), SPC techniques (control charts, process capability analysis), DoE methodologies (factorial designs, screening experiments), and their integration for defect prevention. - Ensuring all sources are properly referenced using a consistent academic format (e.g., APA or IEEE). Ideal Skills and Experience: - Proven experience in academic writing, particularly with theses or research papers in engineering or manufacturing fields. - Strong knowledge of statistical tools, SPC, DoE methodologies, and AQL sampling inspection standards. - Ability to critically review existing work and provide structured feedback for improvement. Timeline: 2.5 months. Budget: Flexible based on expertise and experience.

Project ID: 40406372