This PPT slide, part of the 182-slide Six Sigma - DMAIC Problem Solving Process & Tools PowerPoint presentation, presents a structured approach to the DMAIC (Define, Measure, Analyze, Improve, Control) problem-solving process, specifically focusing on Process Failure Mode and Effects Analysis (FMEA). It outlines a table that categorizes various process steps, key inputs, potential failure modes, effects, causes, and current controls, all aimed at identifying and mitigating risks in a manufacturing context.
The first column lists specific process steps, such as "Print Solder Paste," which is critical in the assembly process. Subsequent columns address key process inputs and potential failure modes. For instance, issues like "Viscosity too low" can lead to short-circuits in solder joints. Each failure mode is assessed for severity (SEV), occurrence (OCC), and detection (DET), culminating in a Risk Priority Number (RPN) that quantifies the risk associated with each failure mode.
The RPN is a crucial metric, as it helps prioritize which issues require immediate attention. Higher RPN values indicate a greater risk, prompting teams to focus on the top 2-3 issues. For example, one entry shows an RPN of 250, suggesting a significant risk associated with ambient temperature being too high, which is currently controlled by a daily temperature check.
The slide effectively communicates the importance of systematic risk assessment in the DMAIC framework, emphasizing the need for proactive measures to prevent failures. It serves as a practical guide for teams aiming to enhance process reliability and quality control. Understanding this framework is essential for organizations looking to implement Six Sigma methodologies effectively.
This slide is part of the Six Sigma - DMAIC Problem Solving Process & Tools PowerPoint presentation.
Developed by a Senior Executive and Operational Excellence Coach with experience at organizations including NOKIA, MICROVENTION, and MAGELLAN, this presentation covers the Six Sigma DMAIC Problem Solving Process and Root Cause Analysis.
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Problem Solving DMAIC Six Sigma Quality Control Manufacturing
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