An organization develops a new strategic plan and seeks ways to improve process performance by reducing variation to only 3.4 defects per million process outputs. Which tool can the organization use to meet this goal?

Statistical process control (SPC) is a method used to monitor and control a process by using statistical methods. While SPC helps in identifying variation and maintaining process stability, it does not inherently focus on reducing defects to the Six Sigma level of 3.4 defects per million. Therefore, while it is a useful tool for quality control, it does not fully encompass the comprehensive approach of Six Sigma.

Linear programming is a mathematical technique used for optimizing a linear objective function, subject to linear equality and inequality constraints. While it can improve resource allocation and operational efficiency, it does not address defect reduction or process variation directly, making it irrelevant to the goal of achieving Six Sigma quality levels.

Just-in-time (JIT) is an inventory management strategy aimed at reducing waste and improving efficiency by receiving goods only as they are needed in the production process. Although it can enhance overall operational efficiency, it does not specifically focus on reducing process variation or achieving the level of quality defined by Six Sigma.