Next Generation SPC & Quality Analytics

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Quality engineers help manufacturing teams identify and resolve production issues through data analysis. They use statistical tools to uncover root causes and apply principles from methodologies like Six Sigma and Lean Manufacturing. Read on to learn more.

Many factors influence what happens between the time you hit “checkout” and when your package arrives. Let’s explore these challenges and how Minitab provides effective solutions.

If you're not meeting your NPS goals, try Root Cause Analysis (RCA) to identify and address the reasons behind it. Fixing recurring issues can significantly improve customer satisfaction.

Quality professionals are using statistical tools, originally meant for product quality control, to tackle climate change. For example, control charts that monitor manufacturing variations are now tracking energy consumption, identifying spikes, and measuring carbon emissions.

Manufacturers can tackle production issues by accurately defining problems, using root cause analysis to identify key factors, implementing data-driven corrective actions, and continuously monitoring processes to ensure ongoing improvements and maintain a competitive edge.

Measurement System Analysis (MSA) is crucial for manufacturers to enhance efficiency and reduce waste while meeting environmental goals.

Luc Burgard, a leader in pharmaceutical manufacturing with experience in biotechnology and automotive sectors, highlights the importance of data analytics in strategic decision-making and shares insights on building specialized teams using Minitab.

Quality assurance professionals in manufacturing know that even a single non-conformance can result in rejected batches or regulatory violations. The Process Capability Index (Cpk) helps teams catch potential issues before they become costly problems.

Time series analysis enables manufacturers to track quality data, revealing patterns, trends, and anomalies to maintain consistent production standards. This method can be applied to daily production output or hourly quality measurements.

The main difference between projects and programs is their scope and focus. Project management focuses on efficiently executing specific projects, while program management aligns multiple projects with overarching strategic goals.