Aarohi Saxena
Independent Researcher
India
Abstract
This manuscript presents a risk management framework tailored for quality assurance in Six Sigma projects, grounded in engineering principles and technologies available up to 2018. Focusing on the Define-Measure-Analyze-Improve-Control (DMAIC) methodology, the framework integrates Failure Mode and Effects Analysis (FMEA), Risk Priority Number (RPN) assessment, and ISO 31000 risk management standards. A comprehensive literature review demonstrates prevailing approaches to risk identification, quantification, and mitigation in Six Sigma contexts. The methodology section details the framework’s development, including stakeholder analysis, process mapping, hazard identification, and statistical prioritization of risks. A statistical analysis table illustrates RPN calculations for typical failure modes. Results highlight the framework’s capacity to systematically reduce quality variation and project failure likelihood. Identified research gaps point to opportunities for integrating real-time monitoring and advanced simulation. The conclusion underscores the framework’s applicability and calls for future research on dynamic risk assessment tools within Six Sigma projects.
Keywords
Six Sigma, risk management, FMEA, RPN, DMAIC, ISO 31000, quality assurance
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