Which of the following techniques supports continuous improvement in processes?

Statistical Process Control (SPC) is a critical technique that supports continuous improvement in processes by using statistical methods to monitor and control process performance. By analyzing process data, SPC helps identify variations that may indicate potential problems or areas for improvement. This enables organizations to make informed decisions regarding process adjustments, thereby enhancing quality and efficiency.

SPC provides a systematic way to measure, analyze, and respond to variations in processes, leading to a culture of ongoing improvement. By implementing control charts and understanding the common and special causes of variation, organizations can maintain their processes within desired limits, ultimately facilitating smoother operations and higher quality products.

Other techniques like Poka-Yoke, Root Cause Analysis, and Total Productive Maintenance also contribute to process improvement, but they serve different roles. Poka-Yoke focuses on mistake-proofing processes, Root Cause Analysis is aimed at identifying underlying issues, and Total Productive Maintenance enhances equipment reliability. While all these methods are important for improving processes, SPC specifically emphasizes the monitoring and control aspect, making it a cornerstone of continuous improvement efforts.