Service Task: Advanced Statistical Quality Engineering & Process Optimisation
I support manufacturing, medical, and pharmaceutical organisations with end-to-end Statistical Quality Analysis and experimental design. This includes:

• Gage R&R / Measurement System Analysis
  Evaluating measurement precision, repeatability, reproducibility, and instrument capability.
• Control Charts & Process Monitoring
  Implementing SPC charts, diagnosing special vs. common cause variation, and improving process stability.
• Process Capability Studies
  Cp, Cpk, Pp, Ppk, normality assessment, and interpretation for regulatory and quality standards.
• Designs of Experiments (DOE)
  Full and fractional factorials, response surface designs, optimisation, robustness studies, and experimental planning.
• Quality-by-Design (QbD) & Validation Support
  Statistical justification, documentation, and clear interpretation for regulatory submissions.
• Clear reporting and stakeholder communication
  Making complex statistical concepts actionable for engineers, managers, and QA teams.

This service is ideal for companies seeking process improvement, reduced variation, higher product quality, and data-driven decision-making.